DSPy MCP Tool Integration
SkillAI & modelsUse for MCP tools with DSPy, Model Context Protocol servers, dspy.Tool.from_mcp_tool, and ReAct agents over MCP-compatible tools.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the DSPy MCP Tool Integration skill
What this skill tells your AI
The instructions your AI receives, as published by omidzamani/dspy-skills in skills/dspy-mcp-tool-integration/SKILL.md and read by ahel’s review.
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
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
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
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
- Use
acall()because MCP tools are asynchronous. - Initialize the session before listing tools.
- Keep tool descriptions precise at the MCP server boundary.
- Apply authentication and authorization before exposing sensitive tools.
- Set a modest
max_itersand trace tool use in production.
Related Skills
- Build agents: dspy-react-agent-builder
- Configure native function calling: dspy-adapters-multimodal
- Add async runtime patterns: dspy-production-deployment
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
Signals
- GitHub stars
- 123
- Forks
- 13
- Last commit
- Jun 2026
Advanced
- Catalog kind
- skill
- Gateway key
dspy-mcp-tool-integration- Source
- github.com/omidzamani/dspy-skills