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Use for MCP tools with DSPy, Model Context Protocol servers, dspy.Tool.from_mcp_tool, and ReAct agents over MCP-compatible tools.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Use for DSPy adapter selection, JSONAdapter, XMLAdapter, ChatAdapter, native function calling, structured outputs, and multimodal inputs like dspy.Image or dspy.Audio.
Use for composing DSPy modules with Ensemble, MultiChainComparison, ensemble voting, sequential pipelines, and multi-program workflows.
Use for BetterTogether, prompt plus weight optimization, fine-tuning sequences, and strategy chains like p -> w -> p.
Use for BootstrapFewShot, bootstrapped demonstrations, teacher-model demos, and low-data DSPy prompt optimization.
Use for creating custom DSPy modules, extending dspy.Module, reusable components, stateful modules, serialization, and module testing.
Use for debugging DSPy programs, inspect_history, tracing LLM calls, custom callbacks, observability, monitoring, and cost tracking.
| name | dspy-mcp-tool-integration |
| version | 1.0.0 |
| dspy-compatibility | 3.2.1 |
| tags | ["agent","production"] |
| requires-extras | ["dspy[mcp]"] |
| description | Use for MCP tools with DSPy, Model Context Protocol servers, dspy.Tool.from_mcp_tool, and ReAct agents over MCP-compatible tools. |
| allowed-tools | ["Read","Write","Glob","Grep"] |
Connect an MCP server with the MCP Python client, convert its tools to dspy.Tool, and use them in an async DSPy agent.
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.
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())
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())
acall() because MCP tools are asynchronous.max_iters and trace tool use in production.