企业微信 & 飞书 OpenAPI 文档聚合 MCP 插件

Created at 2 months ago

by wxkingstar

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本插件为 Model Context Protocol(MCP)提供了企业级 OpenAPI 文档能力,自动聚合并标准化 企业微信 与 飞书 等的开放接口文档。 通过统一上下文调用、搜索和补全,开发者可在无需频繁查阅官网文档的情况下,快速获取接口定义、请求参数、响应结构及权限要求。 适用于构建企业内部集成、自动化工作流、Bot/Agent 开发等高频 API 使用场景。

Categories

developer-tools

Tags

wechat-work

wecom

feishu

openapi

api

sdk

integration

mcp

model-context-protocol

mcp-plugin

mcp-extension

mcp-tools

mcp-api

enterprise-integration

internal-tools

workflow-automation

bot-development

agent-integration

api-docs

api-reference

developer-tools

backend-integration

devops

searchable-docs

structured-api

context-aware

openapi-aggregation

auto-completion

schema

http-request

restful

authentication

permission-management

china

cn

enterprise

b2b

saas

automation

What is Doc Hub MCP?

Doc Hub MCP is a plugin that provides enterprise-level OpenAPI documentation capabilities for the Model Context Protocol (MCP), automatically aggregating and standardizing the open interface documentation of WeChat Work and Feishu.

How to use Doc Hub MCP?

To use Doc Hub MCP, install the dependencies using npm install, start the service with npm run mcp:server --silent, and integrate it with supported IDEs or AI programming assistants.

Key features of Doc Hub MCP?

  • Keyword search for matching titles and content.
  • Full text retrieval of Markdown documents.
  • Configurable namespace and document root directory.
  • Standard MCP compatibility for use with various AI tools.

Use cases of Doc Hub MCP?

  1. Quickly retrieving API documentation for WeChat Work and Feishu.
  2. Integrating with AI programming assistants for automated documentation queries.
  3. Supporting internal documentation and private API documentation retrieval.

FAQ from Doc Hub MCP?

  • Can Doc Hub MCP be used offline?

Yes! It supports offline retrieval of Markdown documents.

  • Is there a limit to the number of documents that can be aggregated?

The initial setup may take time due to the size of the documentation, but it can handle a large number of documents.

  • How do I configure the document root?

You can specify the document root using the DOC_ROOT environment variable.

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