"Connecting Feishu (Lark)" matching MCP servers:

An MCP-based service that enables AI models to seamlessly interact with Feishu (Lark) platform, supporting document reading and chatbot messaging capabilities.

Enables AI applications to access Feishu (Lark) knowledge base and cloud documents through the MCP protocol.

Enables reading Feishu documents and Wiki pages, including full content and metadata, via MCP protocol.

Feishu Access Bridge enables reading Feishu (Lark) Wiki pages, documents, spreadsheets, and multi-dimensional tables. It supports user OAuth, enterprise app, or browser session access modes via CLI and MCP tools.

Enables searching and retrieving content from Lark (Feishu) documents via MCP tools, supporting Doc and Wiki types with OAuth authentication.

Provides access to Feishu (Lark) documents for AI-driven coding tools like Cursor, Windsurf, and Cline based on Model Context Protocol implementation.

lark-tools-mcp connects Lark and cursor. It provides cursor with the ability to read documents, send messages, process tasks, and perform data analysis.

Enables AI tools to extract Feishu documents (Docx/Wiki) via Feishu Open API and convert them to Markdown format with local image downloading and authentication.

Acts as a bridge between AI agents and Feishu/Lark, enabling document search and reading with adaptive format conversion to Markdown.

Enables Claude to explore, analyze, and answer questions about any public GitHub codebase by connecting to DeepWiki's AI-powered documentation.

MCP server that gives AI agents full access to ITASCA PFC - browse documentation, run simulations, capture plots, all through natural conversation. Built on the Model Context Protocol, pfc-mcp turns any MCP-compatible AI client (Claude Code, Codex CLI, Gemini CLI, OpenCode, toyoura-nagisa, etc.) into a PFC co-pilot that can look up commands, execute scripts, monitor long-running simulations.

Provides access to pdfdancer documentation through search and content retrieval tools, connecting to a Docusaurus search worker to query indexed docs and retrieve markdown content.

A secure, open-source Model Context Protocol server for connecting AI agents and apps to Notion. It enables search, read, create, and append operations on Notion pages with audit logging and risk-based security.

Enables AI agents and MCP clients to search, retrieve, and read documents across unified knowledge sources including ShowDoc, GitHub, Gitee, ZenTao, Evernote, and Tencent Docs. It also supports connecting external MCP servers as additional knowledge sources.

An MCP server that provides AI assistants with access to documentation, schemas, and operations for over 535 n8n workflow automation nodes. It enables models to understand, create, and manage n8n workflows through natural language by connecting to the n8n API.

A no-server MCP toolkit that organizes project wikis from Feishu documents, messages, and more, enabling AI clients to answer questions with cited evidence to prevent hallucinations.

Enables fetching document content from Lark Suite using OAuth authentication, with support for streamable HTTP transport and Docker deployment.

Enables Codex to access Feishu knowledge bases and authorized shared cloud drives, allowing listing, searching, and reading wikis, documents, spreadsheets, bitable, and files, with scoped and approval-gated create and edit capabilities.

Provides retrieval of WeChat Work and Feishu developer documentation, enabling AI assistants to query API references without switching browsers.

Enables semantic search, AST exploration, and relationship graph analysis for the cc-common Slot Framework SDK in Cocos Creator 2.4 via Model Context Protocol.