# Wecom Feishu Openapi Docs Mcp

> Use this tool when you need to aggregate and access WeCom and Feishu OpenAPI documents in a unified way, solving problems of tedious official documentation lookup and boosting enterprise application integration efficiency. It provides a standardized interface for searching, completing, and calling APIs, with features like permission and security prompts. Ideal for use cases like bot development, workflow automation, and enterprise tool integration, with inputs from official OpenAPI documents and outputs through the MCP client.

Canonical page: https://skillsregistry.net/skills/wxkingstar-doc-hub-mcp  
JSON: https://api.skillsregistry.net/v1/skills/wxkingstar-doc-hub-mcp

## Description

🧩 **WeCom & Feishu OpenAPI MCP 插件**

英文名称： wecom-feishu-openapi-mcp

中文名称： 企业微信 & 飞书 OpenAPI 文档聚合 MCP 插件

来源地址： https://github.com/wxkingstar/doc-hub-mcp

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📖 插件简介

wecom-feishu-openapi-mcp 是一款面向企业开发者的 Model Context Protocol（MCP）插件，用于聚合和统一访问 WeCom 与 飞书（Feishu）的开放接口文档。

插件将官方 OpenAPI 文档进行结构化、标准化处理，开发者可通过 MCP 客户端实现接口搜索、补全、上下文调用，无需再反复查阅繁杂的官方文档，大幅提升企业应用的集成与自动化效率。

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🚀 核心特性
	
•	🧾 OpenAPI 文档聚合：统一收录 WeCom 与 Feishu 官方 API，支持标准 OpenAPI Schema。
	
•	🧭 上下文接口搜索：通过 MCP 客户端即可快速检索接口定义、参数与返回值结构。
	
•	🔐 权限与安全提示：接口权限、认证方式一目了然，避免集成踩坑。
	
•	🤖 自动化集成场景友好：适用于 Bot/Agent 开发、工作流自动化、企业内部工具集成。
	
•	🧰 CLI 一键启动：无需繁琐部署，通过 npx doc-hub-mcp@latest 即可启动服务。
	
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🏗️ 典型使用场景
	
•	构建企业内部集成（ERP/CRM/IM 工具对接）
	
•	快速开发飞书/企微 Bot
	
•	搭建自动化工作流（如审批流、通知系统、机器人助手）
	
•	接口调试与研发协同文档平台
	
•	与 AI Agent 结合，实现智能调用企业 IM 系统 API

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🛠️ 安装与启动

npx -y doc-hub-mcp@latest

或在 mcp配置中注册：

```json
{
  "mcpServers": {
    "search-docs": {
      "args": ["-y", "doc-hub-mcp@latest"],
      "command": "npx"
    }
  }
}
```

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📚 OpenAPI 数据来源
	
•	WeCom（企业微信）官方开放接口文档
	
•	Feishu（飞书）官方开放接口文档
	
•	所有文档通过 OpenAPI Schema 进行结构化聚合，保持与官方同步。

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🧑‍💻 作者信息
	
•	👤 作者：wxkingstar
	
•	🌐 仓库：GitHub
	
•	📧 联系：wx012@qq.com（如有问题或合作意向可联系）

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🪄 标签（Tags）

wecom,feishu,lark,openapi,api,mcp,mcp-plugin,integration,api-docs,workflow-automation,enterprise,china,saas,bot-development,developer-tools

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## Trust

- **Trust score (0–1):** 0.73
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** version-control
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/wxkingstar/doc-hub-mcp)
- **Repository:** <https://github.com/wxkingstar/doc-hub-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "wxkingstar-doc-hub-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wxkingstar-doc-hub-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wxkingstar-doc-hub-mcp/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt