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dspy-mcp-tool-integration

Use for MCP tools with DSPy, Model Context Protocol servers, dspy.Tool.from_mcp_tool, and ReAct agents over MCP-compatible tools.

Skill by OmidZamani

IndexedMIT★ 124
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

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About

Use for MCP tools with DSPy, Model Context Protocol servers, dspy.Tool.from_mcp_tool, and ReAct agents over MCP-compatible tools.

Use cases: frontend, agent-building

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Permissions

What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found
Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/dspy-mcp-tool-integration

What's inside

Skill name
dspy-mcp-tool-integration
Description
Use for MCP tools with DSPy, Model Context Protocol servers, dspy.Tool.from_mcp_tool, and ReAct agents over MCP-compatible tools.
License
MIT
Instructions
83 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Agent Skills spec issues

  • allowed-tools: must be a space-separated string

Files (2)

  • SKILL.md
  • example.py

SKILL.md (first lines)

# DSPy MCP Tool Integration

## Goal

Connect an MCP server with the MCP Python client, convert its tools to `dspy.Tool`, and use them in an async DSPy agent.

## Install

```bash
pip install -U "dspy[mcp]>=3.2.1,<3.3"
```

DSPy converts tools but does not manage MCP connections. Keep the `ClientSession` alive for as long as the DSPy tools are in use.

## Streamable HTTP Server

```python
import asyncio
import dspy
from mcp import ClientSession
from mcp.client.streamable_http import streamablehttp_client

async def main():
    async with streamablehttp_client("http://localhost:8000/mcp") as (read, write):
        async with ClientSession(read, write) as session:
            await session.initialize()
            response = await session.list_tools()
            tools = [dspy.Tool.from_mcp_tool(session, tool) for tool in response.tools]

            agent = dspy.ReAct("task -> result", tools=tools, max_iters=5)
            output = await agent.acall(task="Check the weather in Tokyo")
            print(output.result)

asyncio.run(main())
```

## Local Stdio Server

```python
import asyncio
import dspy
from mcp import ClientSession, StdioServerParameters
from mcp.client.stdio import stdio_client

async def main():
    params = StdioServerParameters(
        command="python3",
        args=["path/to/server.py"],
        env=None,
    )

    async with stdio_client(params) as (read, write):
        async with ClientSession(read, write) as session:
            await session.initialize()
            response = await session.list_tools()
            tools = [dspy.Tool.from_mcp_tool(session, tool) for tool in response.tools]
            agent = dspy.ReAct("question -> answer", tools=tools, max_iters=5)
            print((await agent.acall(question="What is 25 + 17?")).answer)

asyncio.run(main())
```

## Best Practices

1. Use `acall()` because MCP tools are asynchronous.
2. Initialize the session before listing tools.
3. Keep tool descriptions precise at the MCP server boundary.
4. Apply authentication and authorization before exposing sensitive tools.
5. Set a modest `max_iters` and trace tool use in production.

## Related Skills

- Build agents: [dspy-react-agent-builder](../dspy-react-agent-builder/SKILL.md)
- Configure native function calling: [dspy-adapters-multimodal](../dspy-adapters-multimodal/SKILL.md)
- Add async runtime patterns: [dspy-production-deployment](../dspy-production-deployment/SKILL.md)

## Official Documentation

- **DSPy MCP guide**: https://dspy.ai/learn/programming/mcp/
- **DSPy MCP tutorial**: https://dspy.ai/tutorials/mcp/
- **MCP Python SDK**: https://github.com/modelcontextprotocol/python-sdk

From OmidZamani/dspy-skills, MIT.

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Forks
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Last commit (this folder)
Jun 23, 2026 (4 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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dspy-mcp-tool-integration skill. Agent Mart. https://agentmart.dev/skills/omidzamani-dspy-mcp-tool-integration (last updated 2026-10-24)