mcp-tool-gateway
A universal MCP tool gateway that manages multiple remote tool processes, enabling LLMs to dynamically invoke web scraping, summarization, and knowledge retrieval through standardized Function Calling.
README
mcp-tool-gateway
项目简介
基于标准 MCP（Model Context Protocol）协议开发的通用工具调度网关，实现多远端工具进程统一管理，解决 Agent 工具硬耦合、无法跨业务复用问题。
内置网页爬取、文本摘要、向量知识库检索三类标准化 Skills，服务端通过list_tools暴露全部工具元数据、call_tool统一分发业务逻辑；客户端批量启停 MCP 服务并建立工具路由映射，自动将工具转换为 LLM Function Calling 标准格式，支持大模型自主识别、调用远端能力。
可无缝对接 CrewAI 多智能体、ReAct 对话 Agent，已配套法律文档检索、智能客服两大 RAG 业务场景落地验证，新增业务工具仅需独立开发 MCP 服务，无需修改 Agent 核心调度逻辑，大幅降低研发工具接入成本。
技术栈
Python / MCP SDK / Crawl4AI / OpenAI Function Calling / 多进程调度
核心能力
- 单 MCP 服务支持多业务工具注册与统一分发
- 批量管理多 MCP 进程，自动维护工具名路由映射
- MCP 工具自动适配大模型 Function Calling 规范
- 内置检索、爬虫、文本处理开箱即用工具
- 进程异常捕获、安全启停资源回收机制
配套业务项目
- 法律多智能体 RAG 系统：https://github.com/zike678/paralegal-agent
- 客服 ReAct 对话智能体：https://github.com/zike678/Robot_Vacuum_Agent
使用方式
- 安装依赖：
uv sync/pip install -r requirements.txt - 启动 MCP 服务端：
python mcp_server.py - 多服务调度测试：
python mcp_multi_client.py - LLM 自动调用 Demo：
python agent_llm_entry.py
极简短版（仓库顶部一句话简介，用于 Github 仓库主页短描述）
通用 MCP 标准化工具网关，多进程统一调度，打通 LLM 与远端检索、爬虫等业务工具，可复用至多套 RAG Agent 智能体项目
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