dspy-mcp-tool-integration
@omidzamani · 收录于 1 周前
Use for MCP tools with DSPy, Model Context Protocol servers, dspy.Tool.from_mcp_tool, and ReAct agents over MCP-compatible tools.
适合你,如果正在用DSPy框架开发需要调用外部工具的AI代理
/ 下载安装
用别的 agent?下载 .zip 解压,把文件夹放进它的技能目录
Claude Code
~/.claude/skills/(项目级 .claude/skills/)Codex CLI
~/.codex/skills/Cursor自动读取上面两处目录
其他工具见其文档的「skills」目录;两个下载是同一份文件,只是名字不同
/ 通过 npx 安装 校验哈希
npx oh-my-skill add omidzamani/dspy-skills/dspy-mcp-tool-integration/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- omidzamani/dspy-skills/dspy-mcp-tool-integration/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify omidzamani/dspy-skills/dspy-mcp-tool-integration安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。
113GitHub stars
~611最小装载
~611含声明引用
~694文本包总量
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怎么用
技能原文 SKILL.md
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
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](../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
按 MIT 许可原样转载,未经改动 · 在 GitHub 查看 →
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