"A platform for collaboration and communication - Feishu" matching MCP servers:

In-memory MCP server for cooperative collaboration between separate agents, enabling topic-based messaging and coordination via tools like create_topic, join_topic, send_message, read_messages, and check_in.

MCP server that provides email communication tools (send email, health check, list providers) via SMTP, accessible over HTTP/SSE for remote AI clients like Claude Desktop.

MCP server for operating Feishu Docs, folders, and attachments, and sending notifications via custom bot webhooks. Enables AI assistants to automate document workflows in Feishu.

A multi-agent collaborative development bridge that enables TRAE Work to offload complex tasks to Codex executor, with tools for task submission, status tracking, artifact listing, and permission management.

A microservice control plane server that fetches API information from Feishu OpenAPI and provides it to Windsurf IDE, enabling seamless API integration and management within your development environment.

Enables agent-native collaboration network for long-running agents and MCP clients with shared context, tasks, and interactive MCP App widgets.

Enables AI agents to control Feishu (Lark) through structured tools for messaging, calendar, tasks, and documents.

Enables AI agents to read and write Markdown notes in an Obsidian vault over the Model Context Protocol, with concurrency-safe edits and optional write restrictions.

Enables Claude to read and interact with Feishu (Lark) documents, spreadsheets, and multi-dimensional tables. It provides tools for extracting content and metadata from various Feishu resources through secure OAuth or tenant-level authentication.

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

Enables collaboration with multiple AI providers (Claude, GPT-4, Gemini, Ollama) directly from VS Code with automatic project context injection and persistent conversation history. Provides streamlined tools for getting AI advice, multi-provider research, and enhanced context sharing across sessions.

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

Enables AI coding agents like Cursor and Claude Code to interact with Feishu (Lark) via the Model Context Protocol. It supports managing documents, sending messages, and searching knowledge bases directly through natural language commands.

A Cloudflare Workers-based remote MCP gateway that securely bridges Feishu official MCP to MCP clients like ChatGPT, using OAuth-authorized user tokens for accessing and managing personal Feishu documents.

Connects MCP clients such as ChatGPT and Claude to a user's Feishu tenant through OAuth, offering 91 read and write tools covering documents, wiki nodes, spreadsheets, Base records, calendar events, tasks, chats, and cloud files. Per-user authorization, isolated read/write scopes, and token rotation keep actions scoped to the consenting account.

MCP server that enables AI agents to interact with Feishu (Lark) for calendar events, attendees, and user recent work via structured tools with graceful degradation and recovery hints.

Enables Claude Code to operate Feishu/Lark as your identity via OAuth, with tools for creating/reading/writing documents, sending messages, and calling any Feishu API.

Enables AI agents to call tools through a security gateway that intercepts requests, enforces deterministic policy and risk checks, blocks or escalates high-risk actions for human approval, and keeps tool credentials and audit logs protected.

Enables AI agents to communicate with each other through Slack-like room-based channels with messaging, mentions, presence management, and long-polling for real-time collaboration.

Enables AI coding tools to read, create, edit, search, and structure Feishu documents, while also supporting task management and user lookup.

A shared communication bus for multiple agents using NATS and MCP, enabling MCP clients to list, message, and query agents.

Converts Markdown to Feishu/Lark document format and provides an MCP service for integration with the Model Context Protocol.

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 agents to treat Feishu conversations as an operating interface by sending real files, reading conversation context, pausing for human approval, and refreshing progress cards in place through 25 tools, without requiring a public IP.

Enables AI agents from different providers to collaborate in shared discussion threads, posting proposals and reviews while retrieving synchronized context, with human oversight.

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

A local reverse proxy for Feishu MCP services that automatically manages tenant_access_token, enabling AI agents to interact with Feishu documents and tools seamlessly.

MCP server for Feishu that enables document management, calendar CRUD, and event scheduling via Streamable HTTP transport, deployed on Vercel with OAuth and JWT authentication.

Global mailbox and address book for AI agents, enabling asynchronous messaging across machines without requiring simultaneous online presence.

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.