de1e9a754d
### Summary: Spins up a stdio server with some local files, then asks the model questions. ### Test Plan: Run the example, see it work.
26 lines
957 B
Markdown
26 lines
957 B
Markdown
# MCP Filesystem Example
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This example uses the [fileystem MCP server](https://github.com/modelcontextprotocol/servers/tree/main/src/filesystem), running locally via `npx`.
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Run it via:
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```
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uv run python python examples/mcp/filesystem_example/main.py
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```
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## Details
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The example uses the `MCPServerStdio` class from `agents`, with the command:
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```bash
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npx -y "@modelcontextprotocol/server-filesystem" <samples_directory>
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```
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It's only given access to the `sample_files` directory adjacent to the example, which contains some sample data.
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Under the hood:
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1. The server is spun up in a subprocess, and exposes a bunch of tools like `list_directory()`, `read_file()`, etc.
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2. We add the server instance to the Agent via `mcp_agents`.
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3. Each time the agent runs, we call out to the MCP server to fetch the list of tools via `server.list_tools()`.
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4. If the LLM chooses to use an MCP tool, we call the MCP server to run the tool via `server.run_tool()`.
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