"Information about 飞书 (Feishu or Lark)" 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.

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 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.

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

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.

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

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.

A Model Context Protocol server that enables AI models to perform function calls through Feishu/Lark messaging platform, using your personal account (no bot configuration needed) to create a full-featured AI assistant.

Provides real-time system metrics and information through a Model Context Protocol interface, enabling access to CPU usage, memory statistics, disk information, network status, and running processes.

An MCP server that implements Retrieval-Augmented Generation to efficiently retrieve and process important information from various sources, providing accurate and contextually relevant responses.

Enables AI agents to operate DSpace repositories through a typed interface, including SAF package building, metadata editing, scientometric harvesting, open-access PDF downloads, and repository administration.

Enables AI agents to query Korean listed companies' financial statements, public disclosures, executive information, and shareholder structures in real-time using the DART API.

Enables AI assistants to search, compare, and get detailed information about MCP servers from the mcpcatalogs.com directory.

Search and retrieve detailed information about Swiss companies from the official Zefix register, including company profiles, corporate structures, and SHAB publications.

Enables AI assistants to search and retrieve information about Terraform providers and modules from the public Terraform registry, including detailed documentation, version information, and resource specifications.

Enables users to interact with container registries through the ORAS CLI, providing information about container images, platforms, and signatures via natural language queries.

An MCP server that provides real-time information about the Zaragoza tram system, including arrival estimations and station details through the DNDzgz API.

Connects MCP-compatible coding agents to VMware vCenter to query information about virtual machines, hosts, clusters, datastores, datacenters, and networks.