Content
<p align="center">
<a href="https://github.com/Nwokike/flet-mcp-server" target="_blank">
<img src="https://raw.githubusercontent.com/flet-dev/flet/refs/heads/main/media/logo/flet-logo.svg" height="150" alt="Flet MCP Server logo">
</a>
</p>
<h1 align="center">Flet MCP Server</h1>
<p align="center">
<em>Model Context Protocol that serves official Flet resources to AI agents.</em>
</p>
<p align="center">
<a href="https://pypi.org/project/flet-mcp-server/" target="_blank">
<img src="https://img.shields.io/pypi/v/flet-mcp-server?color=%2334D058&label=PyPI" alt="PyPI version" />
</a>
<a href="https://pepy.tech/projects/flet-mcp-server" target="_blank">
<img src="https://static.pepy.tech/personalized-badge/flet-mcp-server?period=total&units=INTERNATIONAL_SYSTEM&left_color=BLACK&right_color=GREEN&left_text=Users" alt="Total users" />
</a>
<a href="https://github.com/Nwokike/flet-mcp-server/actions/workflows/ci.yml" target="_blank">
<img src="https://github.com/Nwokike/flet-mcp-server/actions/workflows/ci.yml/badge.svg" alt="CI status" />
</a>
<a href="https://pypi.org/project/flet-mcp-server/" target="_blank">
<img src="https://img.shields.io/badge/python-%3E%3D3.10-%2334D058" alt="Python >= 3.10" />
</a>
<a href="https://glama.ai/mcp/servers/Nwokike/flet-mcp-server" target="_blank">
<img src="https://glama.ai/mcp/servers/Nwokike/flet-mcp-server/badges/score.svg" alt="MCP server score" />
</a>
</p>
---
Flet MCP Server dynamically fetches and serves official Flet documentation, controls, packages, and ecosystem resources for AI agents and MCP-compatible clients.
<div align="center">
[](https://glama.ai/mcp/servers/Nwokike/flet-mcp-server)
</div>
## Features
* **GitHub Tree Sync**: Maps documentation in real-time from the Flet repository.
* **Intelligent Caching**: Uses `diskcache` for fast responses with 24-hour TTL.
* **Smart Search**: Fuzzy matching, keyword aliases, and direct path search over documentation.
* **Ecosystem Discovery**: Finds and verifies official and community Flet packages via PyPI metadata.
* **AI-Optimized**: Tool definitions designed for LLM understanding with clear usage guidance.
* **Configurable**: Supports custom Flet repo/branch via environment variables.
* **Resource Safe**: Shared HTTP client with proper lifecycle management and graceful shutdown.
## Tools Included
### 1. `list_flet_controls`
List all available Flet UI controls.
### 2. `search_flet_docs(query)`
Search the documentation index with fuzzy matching and keyword aliases.
### 3. `get_flet_doc(doc_path)`
Get raw Markdown for a specific doc file.
### 4. `list_official_packages()`
List official Flet extension packages from the monorepo.
### 5. `search_flet_ecosystem(query)`
Search for verified community Flet components on GitHub.
### 6. `get_package_details(package_name)`
Fetch version, type classification, and installation info from PyPI.
## Client Configuration Examples
### VSCode
Add this to your `.vscode/mcp.json`:
```json
{
"servers": {
"flet-mcp-server": {
"command": "uvx",
"args": ["flet-mcp-server"]
}
}
}
```
### Antigravity
Add this to your `mcp_config.json`:
```json
{
"mcpServers": {
"flet-mcp-server": {
"command": "uvx",
"args": ["flet-mcp-server"]
}
}
}
```
### Claude Desktop
Add this to your `claude_desktop_config.json`:
```json
{
"mcpServers": {
"flet-mcp-server": {
"command": "uvx",
"args": ["flet-mcp-server"]
}
}
}
```
### Cursor / Windsurf
In your IDE's MCP settings, add a new server:
* **Name**: Flet MCP
* **Type**: Command
* **Command**: `uvx flet-mcp-server`
### Zed
Add this to your `settings.json` file inside the `context_servers` object:
```jsonc
{
"flet": {
"command": "uvx",
"args": ["flet-mcp-server"],
"env": {}
}
}
```
### OpenCode
Add this to your `~/.config/opencode/opencode.json` or project-level `.opencode/opencode.json`:
```json
{
"$schema": "[https://opencode.ai/config.json](https://opencode.ai/config.json)",
"mcp": {
"flet-mcp": {
"type": "local",
"command": ["uvx", "flet-mcp-server"],
"enabled": true
}
}
}
```
For authenticated GitHub API access (higher rate limits), set `GITHUB_TOKEN` in your environment:
```json
{
"$schema": "[https://opencode.ai/config.json](https://opencode.ai/config.json)",
"mcp": {
"flet-mcp": {
"type": "local",
"command": ["uvx", "flet-mcp-server"],
"enabled": true,
"env": {
"GITHUB_TOKEN": "your-github-token"
}
}
}
}
```
## Development
### Directory Structure
```text
flet-mcp-server/
├── .github/
│ └── workflows/
│ ├── ci.yml
│ └── publish.yml
├── docs/
│ ├── ARCHITECTURE.md
│ └── CONTRIBUTING.md
├── src/
│ └── flet_mcp/
│ ├── services/
│ │ ├── github_docs.py
│ │ ├── packages.py
│ │ └── __init__.py
│ ├── __init__.py
│ ├── exceptions.py
│ ├── http.py
│ ├── main.py
│ └── server.py
├── tests/
│ └── test_fetcher.py
├── LICENSE
├── README.md
├── pyproject.toml
└── uv.lock
```
### Install
```bash
git clone https://github.com/Nwokike/flet-mcp-server.git
cd flet-mcp-server
uv sync
```
### Test
```bash
uv run pytest
```
### Lint
```bash
uv run ruff check .
```
## Changelog
### v0.2.0
- **Smart Search**: Added fuzzy matching, keyword alias index, and multi-strategy search (direct > alias > fuzzy)
- **Shared HTTP Client**: Single `httpx.AsyncClient` with proper lifecycle management via server lifespan
- **Custom Exceptions**: `DocNotFoundError`, `PackageNotFoundError`, `FetchError`, `TreeFetchError` for better error handling
- **Configurable Repo/Branch**: `FLET_REPO` and `FLET_BRANCH` environment variables for version pinning
- **Robust Control Parsing**: Set-based deduplication with safer path parsing
- **Concurrent Verification**: Batched PyPI verification with semaphore-based rate limiting for ecosystem search
- **Graceful Shutdown**: Server lifespan handler cleans up HTTP connections
- **Better Error Handling**: All tools catch and format errors gracefully for LLM consumption
- **Mocked Tests**: Full test suite with mocked HTTP responses for fast, reliable CI
- **OpenCode Support**: Added OpenCode MCP configuration example to README
- **Expanded Fallback**: Added `flet`, `flet-cli`, `flet-desktop`, `flet-web` to fallback package list
<details>
<summary>v0.1.1</summary>
- Initial release with 6 MCP tools
- GitHub Tree API integration with diskcache
- PyPI verification for ecosystem packages
</details>
## License
MIT
