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<a href="https://mcp-use.com/docs" alt="Documentation">
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## About
<b>mcp-use</b> is the fullstack MCP framework
to build MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.
- **Build** with mcp-use SDK ([ts](https://www.npmjs.com/package/mcp-use) | [py](https://pypi.org/project/mcp_use/)): MCP Servers and MCP Apps
- **Preview** on mcp-use MCP Inspector ([online](https://inspector.mcp-use.com/inspector) | [oss](https://github.com/mcp-use/mcp-use/tree/main/libraries/typescript/packages/inspector)): Test and debug your MCP Servers and Apps
- **Deploy** on [Manufact MCP Cloud](https://manufact.com): Connect your GitHub repo and have your MCP Server and App up and running in production with observability, metrics, logs, branch-deployments, and more
## Documentation
Visit our [docs](https://mcp-use.com/docs) or jump to a quickstart ([TypeScript](https://mcp-use.com/docs/typescript/getting-started/quickstart) | [Python](https://mcp-use.com/docs/python/getting-started/quickstart))
### Skills for Coding Agents
> **Using Claude Code, Codex, Cursor or other AI coding agents?**
>
> **[Install mcp-use skill for MCP Apps](https://skills.sh/mcp-use/mcp-use/mcp-apps-builder)**
## Quickstart: MCP Servers and MCP Apps
### <img src="./static/typescript.svg" height="14" style="margin-right:4px; top:-1px; position:relative;" align="center" /> TypeScript
Build your first MCP Server or MPC App:
```bash
npx create-mcp-use-app@latest
```
Or create a server manually:
```typescript
import { MCPServer, text } from "mcp-use/server";
import { z } from "zod";
const server = new MCPServer({
name: "my-server",
version: "1.0.0",
});
server.tool({
name: "get_weather",
description: "Get weather for a city",
schema: z.object({ city: z.string() }),
}, async ({ city }) => {
return text(`Temperature: 72°F, Condition: sunny, City: ${city}`);
});
await server.listen(3000);
// Inspector at http://localhost:3000/inspector
```
[**→ Full TypeScript Server Documentation**](https://mcp-use.com/docs/typescript/server)
## MCP Apps
MCP Apps let you build interactive widgets that work across Claude, ChatGPT, and other MCP clients — write once, run everywhere.
**Server**: define a tool and point it to a widget:
```typescript
import { MCPServer, widget } from "mcp-use/server";
import { z } from "zod";
const server = new MCPServer({
name: "weather-app",
version: "1.0.0",
});
server.tool({
name: "get-weather",
description: "Get weather for a city",
schema: z.object({ city: z.string() }),
widget: "weather-display", // references resources/weather-display/widget.tsx
}, async ({ city }) => {
return widget({
props: { city, temperature: 22, conditions: "Sunny" },
message: `Weather in ${city}: Sunny, 22°C`,
});
});
await server.listen(3000);
```
**Widget**: create a React component in `resources/weather-display/widget.tsx`:
```tsx
import { useWidget, type WidgetMetadata } from "mcp-use/react";
import { z } from "zod";
const propSchema = z.object({
city: z.string(),
temperature: z.number(),
conditions: z.string(),
});
export const widgetMetadata: WidgetMetadata = {
description: "Display weather information",
props: propSchema,
};
const WeatherDisplay: React.FC = () => {
const { props, isPending, theme } = useWidget<z.infer<typeof propSchema>>();
const isDark = theme === "dark";
if (isPending) return <div>Loading...</div>;
return (
<div style={{
background: isDark ? "#1a1a2e" : "#f0f4ff",
borderRadius: 16, padding: 24,
}}>
<h2>{props.city}</h2>
<p>{props.temperature}° — {props.conditions}</p>
</div>
);
};
export default WeatherDisplay;
```
Widgets in `resources/` are **auto-discovered** — no manual registration needed.
Visit [**MCP Apps Documentation**](https://mcp-use.com/docs/typescript/server/ui-widgets)
---
### <img src="./static/python.svg" height="14" style="margin-right:4px; top:-1px; position:relative;" align="center" /> Python
```bash
pip install mcp-use
```
```python
from typing import Annotated
from mcp.types import ToolAnnotations
from pydantic import Field
from mcp_use import MCPServer
server = MCPServer(name="Weather Server", version="1.0.0")
@server.tool(
name="get_weather",
description="Get current weather information for a location",
annotations=ToolAnnotations(readOnlyHint=True, openWorldHint=True),
)
async def get_weather(
city: Annotated[str, Field(description="City name")],
) -> str:
return f"Temperature: 72°F, Condition: sunny, City: {city}"
# Start server with auto-inspector
server.run(transport="streamable-http", port=8000)
# 🎉 Inspector at http://localhost:8000/inspector
```
[**→ Full Python Server Documentation**](https://mcp-use.com/docs/python/server/index)
---
## Inspector
The mcp-use Inspector lets you test and debug your MCP servers interactively.
**Auto-included** when using `server.listen()`:
```typescript
server.listen(3000);
// Inspector at http://localhost:3000/inspector
```
**Online** when connecting to hosted MCP servers:
<br>
>Visit https://inspector.mcp-use.com
**Standalone**: inspect any MCP server:
```bash
npx @mcp-use/inspector --url http://localhost:3000/mcp
```
Visit [**Inspector Documentation**](https://mcp-use.com/docs/inspector/index)
---
## Deploy
Deploy your MCP server to production:
```bash
npx @mcp-use/cli login
npx @mcp-use/cli deploy
```
Or connect your GitHub repo on [manufact.com](https://manufact.com) — production-ready with observability, metrics, logs, and branch-deployments.
---
## Package Overview
This monorepo contains multiple packages for both Python and TypeScript:
### Python Packages
| Package | Description | Version |
| ----------- | ------------------------------------- | --------------------------------------------------------------------------------------- |
| **mcp-use** | Complete MCP server and MCP agent SDK | [](https://pypi.org/project/mcp_use/) |
### TypeScript Packages
| Package | Description | Version |
| ---------------------- | ----------------------------------------------- | --------------------------------------------------------------------------------------------------------------- |
| **mcp-use** | Core framework for MCP servers, MCP apps, and MCP agents | [](https://www.npmjs.com/package/mcp-use) |
| **@mcp-use/cli** | Build tool with hot reload and auto-inspector | [](https://www.npmjs.com/package/@mcp-use/cli) |
| **@mcp-use/inspector** | Web-based previewer and debugger for MCP servers | [](https://www.npmjs.com/package/@mcp-use/inspector) |
| **create-mcp-use-app** | Project scaffolding tool | [](https://www.npmjs.com/package/create-mcp-use-app) |
---
## Also: MCP Agent & Client
mcp-use also provides a full MCP Agent and Client implementation.
<details>
<summary>Build an AI Agent</summary>
### <img src="./static/python.svg" height="14" style="margin-right:4px; top:-1px; position:relative;" align="center" /> Python
```bash
pip install mcp-use langchain-openai
```
```python
import asyncio
from langchain_openai import ChatOpenAI
from mcp_use import MCPAgent, MCPClient
async def main():
config = {
"mcpServers": {
"filesystem": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-filesystem", "/tmp"]
}
}
}
client = MCPClient.from_dict(config)
llm = ChatOpenAI(model="gpt-4o")
agent = MCPAgent(llm=llm, client=client)
result = await agent.run("List all files in the directory")
print(result)
asyncio.run(main())
```
[**→ Full Python Agent Documentation**](./libraries/python/README.md#quick-start)
### <img src="./static/typescript.svg" height="14" style="margin-right:4px; top:-1px; position:relative;" align="center" /> TypeScript
```bash
npm install mcp-use @langchain/openai
```
```typescript
import { ChatOpenAI } from "@langchain/openai";
import { MCPAgent, MCPClient } from "mcp-use";
async function main() {
const config = {
mcpServers: {
filesystem: {
command: "npx",
args: ["-y", "@modelcontextprotocol/server-filesystem", "/tmp"],
},
},
};
const client = MCPClient.fromDict(config);
const llm = new ChatOpenAI({ modelName: "gpt-4o" });
const agent = new MCPAgent({ llm, client });
const result = await agent.run("List all files in the directory");
console.log(result);
}
main();
```
[**→ Full TypeScript Agent Documentation**](./libraries/typescript/README.md#-quick-start)
</details>
<details>
<summary>Use MCP Client</summary>
### <img src="./static/python.svg" height="14" style="margin-right:4px; top:-1px; position:relative;" align="center" /> Python
```python
import asyncio
from mcp_use import MCPClient
async def main():
config = {
"mcpServers": {
"calculator": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-everything"]
}
}
}
client = MCPClient.from_dict(config)
await client.create_all_sessions()
session = client.get_session("calculator")
result = await session.call_tool(name="add", arguments={"a": 5, "b": 3})
print(f"Result: {result.content[0].text}")
await client.close_all_sessions()
asyncio.run(main())
```
[**→ Python Client Documentation**](./libraries/python/README.md#direct-tool-calls-without-llm)
### <img src="./static/typescript.svg" height="14" style="margin-right:4px; top:-1px; position:relative;" align="center" /> TypeScript
```typescript
import { MCPClient } from "mcp-use";
async function main() {
const config = {
mcpServers: {
calculator: {
command: "npx",
args: ["-y", "@modelcontextprotocol/server-everything"],
},
},
};
const client = new MCPClient(config);
await client.createAllSessions();
const session = client.getSession("calculator");
const result = await session.callTool("add", { a: 5, b: 3 });
console.log(`Result: ${result.content[0].text}`);
await client.closeAllSessions();
}
main();
```
[**→ TypeScript Client Documentation**](./libraries/typescript/README.md#basic-usage)
</details>
---
## Conformance to Model Context Protocol
<div align="center">
<a href="https://github.com/mcp-use/mcp-use/actions/workflows/conformance.yml" alt="Python MCP Conformance">
<img src="https://img.shields.io/endpoint?url=https://gist.githubusercontent.com/tonxxd/6edf670f0446dc9f7a1f32d6bfda2b70/raw/python-conformance.json" /></a>
<a href="https://github.com/mcp-use/mcp-use/actions/workflows/conformance.yml" alt="Python MCP Client Conformance">
<img src="https://img.shields.io/endpoint?url=https://gist.githubusercontent.com/tonxxd/6edf670f0446dc9f7a1f32d6bfda2b70/raw/python-client-conformance.json" /></a>
<a href="https://github.com/mcp-use/mcp-use/actions/workflows/conformance.yml" alt="TypeScript MCP Conformance">
<img src="https://img.shields.io/endpoint?url=https://gist.githubusercontent.com/tonxxd/6edf670f0446dc9f7a1f32d6bfda2b70/raw/typescript-conformance.json" /></a>
<a href="https://github.com/mcp-use/mcp-use/actions/workflows/conformance.yml" alt="TypeScript MCP Client Conformance">
<img src="https://img.shields.io/endpoint?url=https://gist.githubusercontent.com/tonxxd/6edf670f0446dc9f7a1f32d6bfda2b70/raw/typescript-node-client-conformance.json" /></a>
</div>
---
## Community & Support
- **Discord**: [Join our community](https://discord.gg/XkNkSkMz3V)
- **GitHub Issues**: [Report bugs or request features](https://github.com/mcp-use/mcp-use/issues)
- **Documentation**: [mcp-use.com/docs](https://mcp-use.com/docs)
- **Website**: [manufact.com](https://manufact.com)
- **X.com**: Follow [Manufact](https://x.com/manufact)
- **Contributing**: See [CONTRIBUTING.md](https://github.com/mcp-use/mcp-use/blob/main/CONTRIBUTING.md)
- **License**: MIT © [MCP-Use Contributors](https://github.com/mcp-use/mcp-use/graphs/contributors)
---
## Star History
[](https://www.star-history.com/#mcp-use/mcp-use&Date)
---
## Contributors
Thanks to all our amazing contributors!
### Core Contributors
1. **Pietro** ([@pietrozullo](https://github.com/pietrozullo))
2. **Luigi** ([@pederzh](https://github.com/pederzh))
3. **Enrico** ([@tonxxd](https://github.com/tonxxd))
<br>
<a href="https://github.com/mcp-use/mcp-use/graphs/contributors">
<img src="https://contrib.rocks/image?repo=mcp-use/mcp-use" />
</a>
---
<div align="center">
<strong>Built with ❤️ by Manufact team and the mcp-use community</strong>
<br/>
<sub>San Francisco | Zürich</sub>
</div>
