"Information about Feishu (Lark) collaboration platform" matching MCP servers:

This is the Feishu/Lark official OpenAPI MCP (Model Context Protocol) tool designed to help users quickly connect to the Feishu/Lark platform and enable efficient collaboration between AI Agents and Feishu/Lark. The tool encapsulates Feishu/Lark Open Platform API interfaces as MCP tools, allowing AI assistants to directly call these interfaces and implement various automation scenarios such as document processing, conversation management, calendar scheduling, and more.

Official MCP server for Feishu/Lark OpenAPI, enabling AI assistants to interact with Feishu/Lark platform for document processing, messaging, calendar scheduling, and more.

A toolkit that enables AI assistants to directly call Feishu/Lark API interfaces for automation scenarios like document processing, conversation management, and calendar scheduling.

Enables AI assistants to interact with Feishu/Lark platform through comprehensive OpenAPI integration, supporting message management, document operations, calendar scheduling, group chats, Bitable operations, and more automation scenarios with dual authentication support.

An MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.

Enables DeepSeek Harness agents to operate Feishu/Lark through the official OpenAPI MCP subprocess using app credentials, exposing tools for sending IM messages, reading and writing Bitable tables, and managing docs, calendar, and drive files. A web settings panel configures credentials, tests connectivity, and lists discovered tools.

Enables AI assistants to interact with Feishu/Lark Open Platform APIs for tasks like document processing, chat management, and calendar scheduling.

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

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.

Integrates Feishu/Lark OpenAPI as MCP tools, enabling AI assistants to automate document processing, conversation management, calendar scheduling, and more.

Enables AI assistants to interact with Feishu/Lark platform APIs for automation scenarios including message management, document operations, calendar scheduling, group management, and Bitable operations through natural language.

Connects Claude Desktop App to your Lark workspace, enabling Claude to read wiki pages, documents, and messages directly.

A server that enables LLMs to interact with Lark/Feishu services, currently supporting employee information queries via Lark's Contact API.

An MCP server that enables AI assistants to search, read, create, and update Feishu/Lark documents and wiki pages. It facilitates seamless document management and wiki searches through OAuth-authenticated API access.

A tool designed to help users connect AI Agents with the Feishu/Lark platform, encapsulating Feishu/Lark Open Platform API interfaces as MCP tools for document processing, conversation management, calendar scheduling and more.

An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.

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.

Enables AI clients to send, read, reply, and search messages on Feishu/Lark as the user's own identity using MCP tools.

Enables interaction with Feishu (Lark) multidimensional tables (Bitable) through MCP tools, supporting operations like creating/updating/querying records, batch operations, and application management with automatic token refresh.

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.