# Model Context Protocol

The [Model Context Protocol (MCP)](https://modelcontextprotocol.io/introduction) is an open standard that enables developers to build secure, two-way connections between their data sources and AI-powered tools.

The API can be configured to handle MCP requests. All enabled endpoints set in the API configuration are automatically added as MCP tools.

```yaml
mcp: boolean|dict
```

When `mcp` is a boolean, default arguments are used. When `mcp` is a dictionary it supports the following options.

```yaml
mcp:
  clientargs: http client options (dict)
  mcpargs: FastApiMCP options (dict)
```

See the following links for details on the options.

- [HTTP Client Arguments](https://www.python-httpx.org/api/#asyncclient)
- [FastApiMCP Arguments](https://github.com/tadata-org/fastapi_mcp/blob/main/fastapi_mcp/server.py#L22)

Once this configuration option is added, a new route is added to the application `/mcp`. 

The [Model Context Protocol Inspector tool](https://www.npmjs.com/package/@modelcontextprotocol/inspector) is a quick way to explore how the MCP tools are exported through this interface.

Run the following and go to the local URL specified.

```
npx @modelcontextprotocol/inspector node build/index.js
```

Enter `http://localhost:8000/mcp` to see the full list of tools available.