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# Unified AI System: Self-Hosted AI Gateway & MCP Server Open-source AI gateway for deterministic prompt enhancement, governed execution, and reproducible verification. <a href="README.md">English</a> | <a href="README.zh-CN.md">zh-CN</a> | <a href="https://happy520ai.github.io/unified-ai-system/">Project Site</a> <a href="https://github.com/happy520ai/unified-ai-system"> <img alt="GitHub stars" src="https://img.shields.io/github/stars/happy520ai/unified-ai-system?style=flat-square&label=Stars" /> </a> <a href="https://github.com/happy520ai/unified-ai-system/actions/workflows/ci.yml"> <img alt="CI" src="https://img.shields.io/github/actions/workflow/status/happy520ai/unified-ai-system/ci.yml?branch=master&style=flat-square&label=CI" /> </a> <a href="https://github.com/happy520ai/unified-ai-system/releases/latest"> <img alt="Release" src="https://img.shields.io/github/v/release/happy520ai/unified-ai-system?style=flat-square" /> </a> <img alt="Maturity: hardened Public Preview" src="https://img.shields.io/badge/maturity-hardened_Public_Preview-f59e0b?style=flat-square" /> <a href="https://registry.modelcontextprotocol.io/v0.1/servers/io.github.happy520ai%2Funified-ai-system/versions/0.8.0"> <img alt="Official MCP Registry: active" src="https://img.shields.io/badge/Official_MCP_Registry-active-1f883d?style=flat-square" /> </a> <a href="LICENSE"> <img alt="License" src="https://img.shields.io/github/license/happy520ai/unified-ai-system?style=flat-square" /> </a> <img src="docs/assets/readme-hero.png" alt="Unified AI System — self-hosted AI gateway: one governed boundary for models, agents, tools, budgets and evidence, with four release gates and zero credentials to start" width="100%" /> Unified AI System turns a rough request into a structured, reviewable prompt before execution. It gives teams one self-hosted surface for OpenAI-compatible SDKs, MCP, A2A, CLI, and HTTP while keeping provider calls explicit — with virtual keys and token budgets, exact response caching plus an opt-in lexical-approximate similarity layer, reverse MCP governance with REST→MCP generation, a terminal-first JSON operations overview, and operations-focused observability. Where this README makes a claim about MCP servers in the wild, it is measured rather than asserted: [nine measurements of the public MCP ecosystem](https://happy520ai.github.io/unified-ai-system/mcp-ecosystem-measurements.html) (40 registry-advertised servers, asked anonymously, every page naming its own denominator) and the same results as machine-readable data ([nine questions in ten measurement legs, 400 rows, 2026-09-28](https://happy520ai.github.io/unified-ai-system/data/mcp-ecosystem-measurements.2026-09-28.json)). > **Current maturity:** hardened **Public Preview**. The credential-free path is > reproducible and CI-gated; production deployment still requires your own > provider staging, HA/DR drills, security review, and operating evidence. ## Try It in 60 Seconds <img src="docs/assets/readme-terminal.png" alt="Terminal proof: one docker run command prints the enhanced prompt with providerCalled=false evidence and exits clean" width="100%" /> Verify the project without signing in: ```bash docker run --rm ghcr.io/happy520ai/unified-ai-system/ai-gateway-service:0.8.0 pnpm gateway demo ``` On Apple Silicon, put `--platform linux/amd64` before the image name. Both published `arm64` tags - the gateway and the MCP server - carry x86-64 native modules, so this demo fails there today ([#190](https://github.com/happy520ai/unified-ai-system/issues/190), with the reading and the command that reproduces it). No Docker daemon, or an Apple Silicon machine where the line above is known to fail? The same proof runs from a source checkout, and with dependencies already installed the demo itself takes seconds rather than minutes: the one run we captured measured [14.0 s of wall time](docs/credential-free-evidence.html) on a single laptop, and that page says plainly it is one run, not a benchmark: ```bash git clone https://github.com/happy520ai/unified-ai-system.git cd unified-ai-system corepack enable && pnpm install --frozen-lockfile # prerequisites: Node 22.18.0+, pnpm 11.19.0 pnpm gateway demo "Build a small API for my team" --enhance --profile coding --evidence ``` Measured on this machine - Windows, Node v25.8.1, no Docker engine installed - exit 0, `"mode": "fake"`, `"providerCalled": false`, `"credentialRequired": false`, 4,787 bytes, and three consecutive runs came out byte-identical. The install line in front of the demo is the part that is not sixty seconds; `pnpm verify:public-clone`, further down, is a longer optional check and not a prerequisite for this run. Expected behavior: - local fake-provider execution - visible `execution: fake` - deterministic output - no API key or account needed - container exits automatically One-command natural-language enhancement preview: ```bash docker run --rm ghcr.io/happy520ai/unified-ai-system/ai-gateway-service:0.8.0 \ pnpm gateway demo "Build a small API for my team" --enhance --profile coding --evidence ``` This starts an isolated fake-provider gateway, enhances the request locally, prints the structured prompt, and cleans up without an API key. Check the tool roster of a published image without installing it (from a clone): ```bash node tools/verify-image-roster.mjs 0.8.0 ``` It reads `MCP_TOOL_NAMES` out of the container layer over plain HTTPS and verifies every blob against the digest its manifest names — no Docker daemon, no registry login. Expected: a line reading `tools 15`. The same command against `0.4.0` reports nine, so the number tracks the artifact rather than the prose written about it. The eight-tag history behind those counts — including why `latest` and `0.8.0` ship the same interface as different bytes — is in the [image roster note](https://happy520ai.github.io/unified-ai-system/verify-mcp-docker-image.html). ## Try Before Installing <a href="https://happy520ai.github.io/unified-ai-system/#enhance?prompt=Build+a+small+API+for+my+team&profile=coding&language=en"> <img src="docs/assets/prompt-enhancement-demo.png" alt="Unified AI System turns a rough request into a structured coding prompt" width="100%" /> </a> The original request stays visible. The local enhancer adds execution requirements, output requirements, and completion criteria. [**Open a ready-to-run coding example in the browser Prompt Lab**](https://happy520ai.github.io/unified-ai-system/#enhance?prompt=Build+a+small+API+for+my+team&profile=coding&language=en) The link loads a real request and renders the enhanced prompt locally. No account, API key, or provider call is required. Run the same proof against the published container: ```bash docker run --rm ghcr.io/happy520ai/unified-ai-system/ai-gateway-service:0.8.0 pnpm gateway demo "Build a small API for my team" --enhance --profile coding --evidence ``` The evidence confirms that the original request was preserved, the result is deterministic, and `providerCalled=false`. Codex, VS Code, Claude Code, Gemini CLI, OpenCode, Cursor, Cline, Continue, and generic stdio clients can reach the same gateway through authenticated, permission-scoped MCP tools (15 in the current source build; inspect the tool list of your installed image). The source build also provides a protocol-tested MCP Streamable HTTP endpoint for clients that connect by URL. Useful in a real workflow? [Star the repository](https://github.com/happy520ai/unified-ai-system) or [share one reproducible result](https://github.com/happy520ai/unified-ai-system/issues/new?template=usage-verification-report.yml&title=%5BUsage%20Report%5D%20Quickstart). ## The Gateway at a Glance <img src="docs/assets/readme-architecture.png" alt="Architecture: OpenAI/Anthropic SDKs, MCP clients, A2A, CLI, and HTTP enter one gateway that adds prompt enhancement, virtual keys, exact cache with an optional semantic layer, reverse MCP governance, observability, and audit — providers stay behind a three-gate whitelist with the fake provider as the credential-free default" width="100%" /> Clients keep their native protocols; the gateway adds keys, budgets, cache, and audit. The published image exposes fifteen bounded MCP tools, matching the current source build; both are inspectable after connecting. Controlled writes additionally require Agent Governance when enabled. ## Choose Your First Path | Your goal | Start here | What you get | | --- | --- | --- | | Try it before installing | [Browser Prompt Lab](https://happy520ai.github.io/unified-ai-system/#enhance) | A local, deterministic preview with no account or API key. | | See who has accepted it | [Where this project is listed](https://happy520ai.github.io/unified-ai-system/listing-census.html) | Curated catalogues and public MCP directories that carry an entry today, each with the URL that proves it, re-probed nightly. | | Verify the published runtime | [60-second Docker demo](#try-it-in-60-seconds) | A disposable fake-provider run with visible evidence and cleanup. | | Connect an agent client | [Codex and MCP quickstart](https://happy520ai.github.io/unified-ai-system/codex-mcp-docker-quickstart.html) | A pinned MCP container with an inspectable tool list. | | Choose a client path | [MCP compatibility matrix](docs/mcp-client-compatibility.md) | Install commands, first checks, and honest evidence boundaries. | | Integrate with an application | [Prompt enhancement guide](https://happy520ai.github.io/unified-ai-system/prompt-enhancement.html) | CLI, HTTP, SDK, curl, Python, and JavaScript paths. | | Keep an existing OpenAI client | [OpenAI-compatible API](docs/openai-compatible-api.md) | Point `baseURL` at `/v1` for Chat Completions, function tools, Responses, streaming, and model discovery. | | Connect another agent | [A2A v1.0 gateway](docs/a2a-protocol.md) | Verify an optionally signed Agent Card/JWKS and run tenant-scoped tasks with bounded memory, same-host SQLite, or cross-host PostgreSQL state plus fenced execution leases. | | Check client runtime certification | [Client runtime certification](docs/client-runtime-certification.md) | Evidence-backed catalog state: 52 verified, 2,084 pending manual evidence, and 0 failed across 2,136 unique entries. | | Run the certification suites yourself | [Client runtime certification](docs/client-runtime-certification.md) | `node tools/verify-client-runtimes-serial.mjs --client tag:mainstream` for sequential reports, `node tools/run-global-client-discovery.mjs --source-manifest docs/client-runtime-catalog-sources-worldwide.json --execute --serial --max 0` for global coverage, and add `--require-manual-evidence --manual-evidence docs/client-runtime-evidence.example.json` to fail on missing manual proof. | | Inspect the enhancement contract | [Credential-free evaluation](docs/prompt-enhancement.md#prompt-enhancement-evaluation) | Eight representative cases for profiles, languages, signals, determinism, and zero provider calls. | | Diagnose a first-run problem | [Troubleshooting matrix](docs/first-run-troubleshooting.md) | Shell-specific checks without exposing credentials. | | Verify an MCP client | [MCP client report](https://github.com/happy520ai/unified-ai-system/issues/new?template=mcp-client-report.yml) | Record one Codex, Cursor, Cline, or generic stdio run with a small evidence set. | | Contribute or report a run | [Usage report](https://github.com/happy520ai/unified-ai-system/issues/new?template=usage-verification-report.yml) or [good first issue #106](https://github.com/happy520ai/unified-ai-system/issues/106) | A reproducible feedback path for users and maintainers. | ## Gateway Capabilities Everything below runs from the same self-hosted process — opt-in and fake-provider-first, so you can try every feature with zero credentials: <img src="docs/assets/readme-capabilities.png" alt="Capability cards: OpenAI, Anthropic, and Gemini APIs; virtual keys and budgets; exact cache with an optional semantic layer; reverse MCP governance; observability; local-first RAG; provider governance; and a 23-attack security regression" width="100%" /> | Capability | What you get | Docs | | --- | --- | --- | | OpenAI + Anthropic + Gemini compatible APIs | `/v1/chat/completions` (SSE streaming, tools, image/audio input, n>1), `/v1/messages` with **native Anthropic streaming and prompt-caching passthrough**, **native Gemini inbound** `:generateContent/:streamGenerateContent/:batchGenerateContent`, the Responses API, and model discovery — keep your existing SDK, change only the base URL. | [OpenAI-compatible API](docs/openai-compatible-api.md) · [Gemini](docs/gemini-provider.md) | | Virtual keys + budgets | Issue `uai-` keys with periodic token budgets (daily/monthly windows), per-key request limits, soft-budget alerts, spend attribution, and instant revocation. Consumers never hold provider keys. | [Virtual keys](docs/virtual-keys.md) · [Spend reporting](docs/spend-reporting.md) | | Response cache — exact + lexical-approximate | Tenant-scoped hot-path caching with byte-identical JSON/SSE replay, plus an opt-in similarity layer for near-duplicate requests. The default layer is deterministic lexical approximation, not a semantic model; attach a real embedding endpoint via the HTTP embedding hook for semantic-grade matching. | [Response cache](docs/response-cache-hot-path.md) | | Operations overview API (terminal-first) | `GET /api/overview` returns a compact JSON snapshot (provider mode, health, readiness, request stats, circuit state) behind `dashboard:read` — a lightweight companion to `/metrics` for CLI and dashboard tooling. The gateway serves no browser page; the public-clone gate keeps it terminal-first. | [Observability](docs/observability-export.md) | | Guardrails — deterministic & local | Input/output scans: pasted secrets block, PII redacts, injection phrasings warn, banned terms and size limits enforce — no cloud tier, no extra credentials, <0.2 ms measured overhead, runtime-configurable per rule. | [Guardrails](docs/guardrails.md) | | Reverse MCP governance | Aggregate upstream MCP servers (Streamable HTTP and stdio) behind one authenticated, audited, allow-listed surface — plus **REST→MCP**: each OpenAPI 3 operation whose input semantics are unambiguous becomes a governed MCP tool; a construct that cannot be resolved is refused rather than guessed. | [Reverse MCP governance](docs/reverse-mcp-governance.md) | | Agent governance control plane | Explicit opt-in for server-bound `/agent-exec`, reverse-MCP, controlled `/workforce/execute`, and per-action `/forge/orchestrate`, with deterministic policies, signed state, reviewable top-level approvals, dual fences, rollback detection and cascade revocation. Per-action Forge approvals are not yet implemented and fail closed before any effect; Workforce `run-local`/A2A and standalone Forge remain explicit boundaries. | [Agent governance](docs/agent-governance.md) | | Observability | Chat-specific Prometheus metrics on `/metrics` — tokens per model, cache hit rates, TTFT histograms, virtual-key rejections, guardrail findings — plus an opt-in Langfuse export and a per-key spend report API/CLI. | [Observability](docs/observability-export.md) | | Vector retrieval | A credential-free deterministic embedding provider and the SQLite vector store activate `mode: "vector"` RAG with strict tenant isolation. | [Providers & knowledge](docs/providers.md) | | Provider governance | A three-gate whitelist matrix for real providers; memory-only runtime credentials by default, with opt-in AES-256-GCM encrypted file/SQLite persistence and a separately protected master key; hashed virtual keys and user tokens; request cost guards, circuit breakers, and fallback chains. | [Provider enablement](docs/real-provider-enablement.md) | | Local-client intelligence gateway | Tenant-scoped inventory, server-bound per-client PoP, policy-pinned fake-provider dispatch, dry-run autonomous management, governed execution with receipt reconciliation and exactly-once aggregate learning, irreversible revocation, and transactional MCP onboarding. Credential-free fixture flows are proven; the open release gates are enumerated in the design doc. | [Design and evidence boundary](docs/local-client-intelligence-gateway.md) | | Enterprise governance + security drills | JWT auth, RBAC, tenant isolation with audit hash chains — verified by a repeatable 23-attack live security regression. | [Security drill](tools/security-attack-regression.mjs) · [run output](https://happy520ai.github.io/unified-ai-system/security-drill-evidence.html) · [what the drills do not establish](https://happy520ai.github.io/unified-ai-system/mcp-security-boundaries.html) | | Enterprise identity & provisioning | **OIDC SSO** (authorization code + PKCE + JWKS signature verification, issues an API token on login) and **SCIM 2.0** user provisioning (bearer-auth create/get/list/patch/deactivate). | [Security drill](tools/security-attack-regression.mjs) · [Enterprise SSO & SCIM](docs/enterprise-sso.md) | | Operator traffic control | Configurable **weighted routing splits** and **shadow traffic** (`AI_GATEWAY_WEIGHTED_ROUTES_JSON`): shadow calls are separately accounted; real-provider shadowing also requires `AI_GATEWAY_SHADOW_REAL_PROVIDER_ENABLED=true`. | [Multi-process deployment](docs/multi-process-deployment.md) | | Hot-path RAG + billing evidence | Opt-in `unified_ai.rag` knowledge injection on `/v1/chat/completions`; central usage evidence and an admin-only exact-attempt USD statement comparison. Local statement previews remain explicitly non-legal and no payment gateway is connected. | [Spend reporting](docs/spend-reporting.md) · [RAG injection](docs/openai-compatible-api.md) | | Multi-instance controls | `AI_GATEWAY_MULTI_INSTANCE=true` keeps same-host SQLite defaults; explicit PostgreSQL modes cover cross-host quotas, response idempotency, dispatch tombstones, WebSocket/A2A/Workforce leases and terminal fences, approvals, billable usage, and a shared HMAC audit chain. A destructive CI drill proves bounded LSN-PITR, single-bridge fencing, old-primary safe rejoin, single-standby automatic failover, and at-most-once admission, and that drill carries its own not-proven list naming what stays deployment work. | [Multi-process deployment](docs/multi-process-deployment.md) · [PostgreSQL recovery drill](docs/postgresql-recovery-drill.md) · [External-effect fencing](docs/external-effect-fencing.md) | Published infrastructure benchmark (fake provider, single node): chat JSON p50 **15.6 ms**, SSE TTFT p50 **2.8 ms**, **402 req/s** at concurrency 8, cache hits **5.6× faster** than misses — see the [gateway benchmark](docs/benchmarks/2026-08-gateway-benchmark.md). ## Why People Use It - Prompt enhancement for teammates who do not write perfect prompts. - Clean-clone verification without credentials or hidden setup. - Provider-free HTTP examples for curl and Python's standard library. - OpenAI SDK, CLI, HTTP API, shared SDK, MCP, Codex, Cursor, Cline, and Continue entry points. - Clear boundaries: no AGI claim, no L5 claim, no silent provider behavior. - Protocol-first onboarding: the governed JSON transaction path currently supports Claude-compatible, Cursor, and VS Code profiles. Other MCP, A2A, or HTTP clients require an explicit adapter/principal binding and reproducible certification report. ## More Credential-Free Paths You can also pipe a request directly into the published image without cloning the repository: ```bash printf '%s' "Plan a launch for a small API" \ | docker run --rm -i ghcr.io/happy520ai/unified-ai-system/ai-gateway-service:0.8.0 \ pnpm --silent gateway demo --enhance --profile planning --language en --json ``` PowerShell equivalent for a request file: ```powershell Get-Content .\request.txt -Raw | docker run --rm -i ghcr.io/happy520ai/unified-ai-system/ai-gateway-service:0.8.0 ` pnpm --silent gateway demo --enhance --profile planning --language en --json ``` The container still uses the disposable fake-provider path and exits after the result is printed. Use `--language zh-CN` or `--language en` when the enhancement output should follow an explicit language instead of automatic detection. Prompt enhancement example: Start the gateway first (from a source checkout): ```bash pnpm gateway serve ``` Then, in another terminal: ```bash pnpm gateway enhance "Build a small API for my team" --profile coding pnpm gateway chat "Build a small API for my team" --enhance --profile coding ``` The CLI also accepts a request from stdin, which is useful for shell pipelines and text files: ```bash printf '%s' "Plan a launch for a small API" \ | pnpm gateway enhance --profile planning --language en cat request.txt | pnpm gateway enhance --profile auto --json ``` PowerShell users can pipe the same path with `Get-Content .\request.txt -Raw`. ### Existing OpenAI SDKs Start the source gateway with `pnpm gateway serve`, then keep your existing OpenAI client and change only its base URL: ```js import OpenAI from "openai"; const client = new OpenAI({ baseURL: "http://127.0.0.1:3100/v1", apiKey: process.env.PME_AUTH_TOKEN || "local-development", }); const result = await client.chat.completions.create({ model: "local-fake-model", messages: [{ role: "user", content: "Build a small API for my team" }], }); console.log(result.choices[0].message.content); ``` The credential-free gate verifies this path with the official OpenAI JavaScript SDK `7.4.0`. With the source gateway running, reproduce it with: ```bash node docs/examples/openai-sdk-chat.mjs ``` The focused compatibility layer supports text completions, streaming, model listing, and optional local prompt enhancement. See the [OpenAI-compatible API guide](docs/openai-compatible-api.md) for Python, supported fields, auth behavior, and explicit limitations. Prefer Node.js? The dependency-free example verifies the provider-free response before printing the enhanced JSON: ```bash node docs/examples/prompt-enhancement.mjs "Help me plan a small API for my team" --profile planning --language en ``` Prefer Go? The standard-library example checks provider-free readiness and prints JSON evidence before showing the enhanced prompt: ```bash go run docs/examples/prompt-enhancement.go "Help me plan a small API for my team" --profile planning --language en ``` For a no-clone prompt-enhancement walkthrough, start the published gateway image and follow the [provider-free curl example](docs/examples/prompt-enhancement-curl.md): ```bash read -rsp "Enter a random gateway token (32+ characters): " PME_AUTH_TOKEN printf '\n' export PME_AUTH_TOKEN docker run --rm --publish 127.0.0.1:3100:3100 \ --env AI_GATEWAY_SERVICE_HOST=0.0.0.0 \ --env AI_GATEWAY_PROVIDER_MODE=fake \ --env AI_GATEWAY_REAL_PROVIDER_ENABLED=false \ --env PME_ENTERPRISE_AUTH_ENABLED=true \ --env PME_AUTH_TOKEN \ ghcr.io/happy520ai/unified-ai-system/ai-gateway-service:0.8.0 ``` Keep that process running while you send the curl request. The response includes `metadata.providerCalled=false`. For a credential-free HTTP stream, use the [curl SSE example](docs/examples/streaming-chat-curl.md) to inspect `start`, `chunk`, and `done` events with `executionMode=fake`. The gateway refuses non-loopback listening when authentication is disabled; see the [critical attack-chain hardening report](docs/security-hardening-attack-chain.md). ## Use It ### Terminal Workflow After `pnpm install`: ```bash pnpm gateway serve pnpm gateway status pnpm gateway doctor pnpm gateway chat "Hello from Unified AI System" ``` The protected local-client control plane has read-only inspection plus explicit governed lifecycle commands. Prefer supplying the admin virtual key through the environment so it is not written to shell history: ```powershell $env:AGENT_CONSOLE_ADMIN_KEY = "<admin-virtual-key>" pnpm gateway clients --json pnpm gateway clients discover --json pnpm gateway clients --help ``` Discovery and smart-management default to dry-run. Mutations require explicit confirmation and an admin key; uncertain writes are never retried. A registry inspection is not proof that a named application was configured or controlled. See [Local Client Intelligence Gateway](docs/local-client-intelligence-gateway.md) for the adapter and evidence boundary. ### MCP / Codex / Cursor / Cline Published MCP command: ```bash codex mcp add unified-ai-system -- docker run --rm -i ghcr.io/happy520ai/unified-ai-system/mcp-server:0.8.0 ``` On Apple Silicon, put `--platform linux/amd64` before the image name. The published `linux/arm64` tag currently ships x86-64 native modules, including `better-sqlite3`, so the governed tools fail to load there - [issue #190](https://github.com/happy520ai/unified-ai-system/issues/190) carries the reading and the one command that reproduces it. Restart Codex, run `/mcp verbose` to inspect the installed tool list, then follow the [60-second Codex MCP quickstart](https://happy520ai.github.io/unified-ai-system/codex-mcp-docker-quickstart.html) for a safe first prompt-enhancement call and removal command. Building from the repository takes one extra flag. The root `Dockerfile` declares two publishable stages, `mcp` and `gateway`, and `gateway` is the last one, so a plain `docker build .` produces the HTTP gateway - which never answers on stdio: ```bash docker build --target mcp -t unified-ai-system-mcp . printf '%s\n' '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-06-18","capabilities":{},"clientInfo":{"name":"probe","version":"0"}}}' \ | docker run --rm -i unified-ai-system-mcp ``` `--target mcp` and `--target gateway` are the two targets the release workflow builds, so this is the same build that publishes the image above rather than an instruction that only exists in the docs. Anything that introspects our `Dockerfile` - a directory checking tool definitions, or your own CI - has to select `mcp`; without it it finds a gateway that answers HTTP and no MCP server at all. For MCP clients that connect by URL, the source build provides a loopback-only Streamable HTTP endpoint: ```bash pnpm mcp:http # http://127.0.0.1:3210/mcp ``` See the [MCP server guide](packages/mcp-server/README.md#streamable-http) for remote-bind authentication and the published-release boundary. ### Installable Agent Skill ```bash codex plugin marketplace add happy520ai/unified-ai-system --ref master npx skills add happy520ai/unified-ai-system --skill unified-ai-gateway --agent codex --copy --yes ``` The plugin pins the [reviewed immutable v0.4.9 MCP image](docs/security/mcp-image-review-0.4.9.md) and starts it without container networking or Linux capabilities. The current release has its own [content review](docs/security/mcp-image-review-0.8.0.md), read from the published layer tarballs rather than a Docker export - that page is where the `linux/arm64` architecture caveat is written down. Skill hub: https://skills.sh/happy520ai/unified-ai-system/unified-ai-gateway For local source work: Requires Node.js 22.18.0 or newer and pnpm 11.19.0. ```bash git clone https://github.com/happy520ai/unified-ai-system.git cd unified-ai-system corepack enable corepack prepare pnpm@11.19.0 --activate pnpm install --frozen-lockfile pnpm verify:public-clone pnpm gateway demo ``` For a prepared cloud workspace, use [GitHub Codespaces](https://codespaces.new/happy520ai/unified-ai-system?quickstart=1). See the value first: ```bash pnpm gateway demo "Build a small API for my team" --enhance --profile coding --evidence ``` For the complete credential-free clone check, run `pnpm verify:public-clone` after the demo. The repository's devcontainer keeps the default path provider-free. Codespaces availability and usage limits are controlled by GitHub. ### Docker Compose For a source checkout, start the gateway with a readiness check: ```bash docker compose up --build -d docker compose ps curl http://127.0.0.1:3100/health/check ``` The service becomes `healthy` only after `/health/check` responds successfully. When finished, stop it with: ```bash docker compose down ``` The Compose file treats `.env` as optional and leaves provider behavior explicit; the credential-free fake-provider path remains the default. ## Share a Verified Result If the project helps your workflow, run one reproducible path, [star the repository](https://github.com/happy520ai/unified-ai-system), and share the smallest useful result through the [structured Usage Report](https://github.com/happy520ai/unified-ai-system/issues/new?template=usage-verification-report.yml). For a ready-to-review CLI packet, append `--evidence` to the enhanced demo: ```bash pnpm gateway demo "Build a small API for my team" --enhance --profile coding --evidence ``` Review the original request and output before sharing the generated JSON. The packet also records `detectedSignals` and the item count for each `compiledSections` entry, so a reviewer can see which request signals were carried into the structured prompt without reading internal logs. For the browser Prompt Lab, use its `Copy evidence` or `Download evidence` action, then paste or attach the JSON in the optional Prompt Lab evidence field of the same report. Use `Copy share link` when you want another browser to reproduce the same local input, profile, and language; review the prompt first because the URL fragment contains the input text. ## Next Steps - [Documentation](docs/README.md) for setup, the CLI, prompt enhancement, and providers. - [Codex MCP quickstart](https://happy520ai.github.io/unified-ai-system/codex-mcp-docker-quickstart.html) for the fastest agent-tool integration; the [source guide](docs/codex-mcp-quickstart.md) is kept in the repository. - [Self-hosted AI gateways, in their own words](https://happy520ai.github.io/unified-ai-system/self-hosted-ai-gateways-compared.html) - LiteLLM, Portkey Gateway, Agent Router and this project, each quoted from its own README with the date it was read, plus three questions to ask before handing over agent traffic. - [Nine measurements of the public MCP ecosystem](https://happy520ai.github.io/unified-ai-system/mcp-ecosystem-measurements.html) - 40 servers advertised in the official registry, asked anonymously: [0 of the 16 that answered paginate `tools/list`](https://github.com/happy520ai/unified-ai-system/blob/master/docs/mcp-tools-list-pagination-survey.md), [2 of the 18 that answered agreed to a protocol version that does not exist](https://github.com/happy520ai/unified-ai-system/blob/master/docs/mcp-protocol-revision-tolerance.md), [both servers that issue a session id require it back](https://github.com/happy520ai/unified-ai-system/blob/master/docs/mcp-session-enforcement.md), and [1 of 16 implements `server/discover` while 12 have never heard of it](https://happy520ai.github.io/unified-ai-system/mcp-ecosystem-measurements.html), and [9 of 16 send server-written `instructions` prose to an anonymous client, 72 to 1,423 characters](https://happy520ai.github.io/unified-ai-system/mcp-ecosystem-measurements.html). 22 of the 40 would not talk to an anonymous client at all, and every page says so about its own denominator. Two findings have their own pages and are worth reading on their own terms: [do servers say how long their tool list may be cached](https://happy520ai.github.io/unified-ai-system/mcp-list-cache-hints.html) - 1 of the 16 that returned a list did, and we were reading neither field - and [can a header redirect a server to a method the body never asked for](https://happy520ai.github.io/unified-ai-system/mcp-route-headers.html) - 0 of 16 POST pairs and 0 of 13 body-less GET legs, plus the false positive a repeat leg caught before it became a sentence. Each page ships its script, so any number here is yours to re-run in about two minutes, and the whole set is published as generated data: [the 40-endpoint run of 2026-09-27](https://happy520ai.github.io/unified-ai-system/data/mcp-ecosystem-measurements.json), [its nine-question, ten-leg re-run of 2026-09-28](https://happy520ai.github.io/unified-ai-system/data/mcp-ecosystem-measurements.2026-09-28.json), and [the wide run](https://happy520ai.github.io/unified-ai-system/data/mcp-ecosystem-measurements.wide.json). Another question, measured later the same day in its own window, asks [whether anyone enforces the `MCP-Protocol-Version` header](https://happy520ai.github.io/unified-ai-system/mcp-protocol-version-header.html) - none of the 16 that answered did, which is also why closing our own gap on it was a conformance fix rather than an interoperability rescue. And one reading is a census rather than a sample: [every server the registry's default list shows, counted](https://happy520ai.github.io/unified-ai-system/mcp-registry-census.html) - 123,831 version rows resolving to 37,013 servers, of which 439 (1.20%) declare neither a package nor a hosted endpoint, with the second walk published beside it because a number that cannot be repeated is an anecdote. - [Contributing guide](CONTRIBUTING.md) for focused changes and safe verification. - [Usage Report template](.github/ISSUE_TEMPLATE/usage-verification-report.yml) for reproducible feedback. - [Cite this project](CITATION.cff), [Roadmap](ROADMAP.md), and [Support](SUPPORT.md). ## Honest Boundaries We separate what is verified from what is not claimed: - Clean clone + fake-provider path: **Yes** - Hosted public API: **No** - Real provider execution by default: **No**, must be explicitly enabled - Browser chat UI in this repo: **No** (CLI/API/MCP are first-class) - Cold stdio handshake: **~8 s** on the published source entry point, measured rather than estimated — [where an MCP connect budget actually goes](https://happy520ai.github.io/unified-ai-system/mcp-startup-timeouts.html) says which part is process boot, which part is tool work, and what that page does not establish. - Production ready / AGI / L5: **Not claimed** Real provider calls are disabled by default. Configure safely via `.env.example` and `docs/providers.md`. ## Verify the Project ```bash pnpm check pnpm test pnpm check:public pnpm verify:public-clone pnpm verify:mcp ``` CI on `master` runs Linux checks, container startup smoke tests, MCP discovery, and process-cleanup checks. ## Project Links - [Official MCP Registry entry](https://registry.modelcontextprotocol.io/v0.1/servers/io.github.happy520ai%2Funified-ai-system/versions/0.8.0) - [Release v0.8.0](https://github.com/happy520ai/unified-ai-system/releases/tag/v0.8.0) - [Codex MCP server README](packages/mcp-server/README.md) - [Roadmap](ROADMAP.md) - [Vision](VISION.md) - [Support](SUPPORT.md) ## Star History If the gateway saves you a proxy migration or an afternoon of prompt cleanup, [a star](https://github.com/happy520ai/unified-ai-system/stargazers) helps more people find it. [![Star History Chart](https://api.star-history.com/svg?repos=happy520ai/unified-ai-system&type=Date)](https://star-history.com/#happy520ai/unified-ai-system&Date)

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