"Connecting Feishu (Lark)" matching MCP servers:

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.

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

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.

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

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 users to read, create, and edit Feishu Docx/Wiki pages and browse knowledge spaces through user-authorized Feishu credentials.

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.

Enables users to learn the full path for connecting a WhatsApp number to Meta's official Cloud API—including virtual numbers and Coexistence—and diagnose each onboarding phase with Graph API checks.

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.

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.

Enables AI assistants and MCP clients to search a free, citation-backed encyclopedia of over 300k articles and read full articles or topic listings as Markdown, with optional citation formatting. It is read-only and requires no key or sign-up, connecting over Streamable HTTP.

Enables AI agents to query version-aware, source-backed knowledge through MCP, using deterministic retrieval, durable research demands, and immutable validated revisions. It provides network and domain-specific guidance without connecting to devices or executing commands.

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.

Enables Alexa+ to diagnose home appliance problems by connecting to a self-hosted MCP server, with capabilities for reading error codes from manuals, tracking household appliances, guiding repairs with visual cards, ordering replacement parts, and scheduling maintenance.

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 cloud AI agents to search and read an organization's Feishu Docs and Wiki through an OAuth-protected, read-only remote MCP connection that uses the signed-in user's own permissions. It exposes four read-only tools for keyword search, original document retrieval, Wiki navigation, and connection status without running a model or mirroring content.

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.

Read-only server that reports what is actually true in a local Ansible checkout: the option specs of installed modules, task-argument validity checks, role interfaces, redacted inventory, play structure, effective config, requirements drift, and which tasks a collection upgrade would break. It lets coding agents verify specs and arguments against the installed collections before writing anything, without running plays, connecting to managed hosts, or supplying vault secrets.

Enables autonomous agents to parse markdown into structured AST nodes and compile modified ASTs back into clean canonical markdown, including headings, lists, tables, and code blocks.