"Connecting Feishu (Lark)" matching MCP servers:

Enables AI clients to read, write, and search Feishu (Lark) documents, wiki pages, spreadsheets, and bitable records over MCP, with stdio or authenticated HTTP(S) transport.

Enables interaction with Feishu (Lark) via MCP for sending messages, managing calendar events, searching documents, and reading/writing bitable records.

An MCP server that exposes Feishu/Lark capabilities as function tools to MCP-compatible agents like Hermes and Claude Desktop. It provides 57 tools for messaging, document management, calendar operations, and task management through both hand-written fallback tools and bridged OpenClaw SDK functionality.

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 models to interact with Feishu (Lark) APIs for document management, bot messaging, chat operations, and multi-dimensional table (Bitable) CRUD operations through natural language.

A remote Model Context Protocol server for Feishu (Lark) that supports OAuth authentication and deployment on Cloudflare Workers. It allows AI clients to interact with Feishu documents, perform content searches, and manage document blocks with a zero-configuration experience.

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

A zero-configuration MCP server enabling AI assistants to interact with Feishu (Lark) workspace through OAuth authentication, supporting document operations, content creation, and advanced file management.

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.

Enables natural language interaction with Feishu (Lark) services, including documents, spreadsheets, and more, with zero configuration and OAuth authentication.

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

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

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.

Enables interacting with Feishu (Lark) multidimensional tables through MCP tools. Supports listing tables, reading records, searching records and apps, and getting views.

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 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.

Enables LLMs to interact with Feishu Base (Lark) databases by providing comprehensive tools for managing records, tables, and schemas. It supports full CRUD operations on database entries and structural modifications to table fields through the Model Context Protocol.

Exposes the official lark-cli as an MCP server, enabling agents to execute arbitrary CLI commands, query API schemas, and manage authentication.

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

Enables AI assistants to directly read, write, and manage Feishu documents, spreadsheets, and multi-dimensional tables. It supports automated documentation tasks and rich text management, including Mermaid diagrams and image uploads.

Production-ready TypeScript SDK with MCP server for creating and managing Lark/Feishu dashboards via REST API. Enables Claude to create charts, metrics, views, and text blocks with type-safe fluent API and batch operations support.

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.

Implements a Model Context Protocol server for intelligent end-to-end requirement management and development automation, integrating with Feishu project systems.

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.

Enables AI agents to read and write Feishu documents, spreadsheets, messages, and calendars, transfer images and files, and switch between multiple Feishu accounts through a self-hosted remote MCP endpoint.

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.

Enables each user to securely bind their own Feishu private chat account to an existing personal dot, subscribe to incoming p2p text messages through authenticated MCP Events, and reply only to the originating conversation via MCP tools.