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DINGTALK MCP - 通过钉钉客户端AI助理调用本地私有部署的MCP服务

@MiechalZhao

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MiechalZhao

About DINGTALK MCP - 通过钉钉客户端AI助理调用本地私有部署的MCP服务

Provide MCP Server private skills for DingTalk AI Agent

DINGTALK MCP - 通过钉钉客户端AI助理调用本地私有部署的MCP服务 config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

DINGTALK MCP - 通过钉钉客户端AI助理调用本地私有部署的MCP服务 tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is DINGTALK MCP - 通过钉钉客户端AI助理调用本地私有部署的MCP服务？

该服务器实现了钉钉客户端AI助理通过直通模式调用本地私有部署的MCP服务，支持多模型配置的MCP协议，所有组件均可本地化运行，无需远端部署。面向希望在钉钉AI助理中使用本地MCP工具或数据的企业与开发者。

How to use DINGTALK MCP - 通过钉钉客户端AI助理调用本地私有部署的MCP服务？

将仓库导入Python IDE工程即可启动运行，无需远端部署。环境要求Python > 3.10和OpenSSL > 1.1。运行前在IDE中安装依赖（直接import），然后执行main.py即可。

Key features of DINGTALK MCP - 通过钉钉客户端AI助理调用本地私有部署的MCP服务？

  • 钉钉AI助理直通模式与本地服务通信
  • 支持多模型配置的MCP协议
  • 完全本地化运行，无需远端服务器
  • 通过@register_tool装饰器快速自定义函数

Use cases of DINGTALK MCP - 通过钉钉客户端AI助理调用本地私有部署的MCP服务？

  • 企业内网AI助理调用本地私有API或数据库
  • 敏感数据处理场景，避免上传云端
  • 快速开发与测试自定义MCP工具链
  • 在钉钉AI助理中集成自有的模型与服务

Frequently asked questions

1

是否需要远端部署？

不需要。将仓库导入Python IDE即可本地运行，所有服务在本地启动。

2

运行环境要求是什么？

需要Python 3.10以上版本以及OpenSSL 1.1以上版本。

3

如何添加自定义函数？

在`app/core/mcp_server.py`文件中使用`@register_tool`装饰器，按照示例格式编写函数即可注册为MCP工具。

4

支持哪些AI模型？

README提到“支持多模型配置的MCP协议”，但未列出具体模型，开发者可根据MCP协议对接兼容的模型。

5

数据存储在哪里？

项目为本地私有部署，所有数据和服务均在用户本地环境中运行和管理。

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