"Connecting Feishu (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 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 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 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 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.

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.

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

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

Enables MCP clients to list and inspect Lark/Feishu calendar events, including recurring instances, attendees, and event details, without handling large iCalendar payloads. It provides read-only calendar access with cached freshness checks and secure key-based authentication.

Enables keyword analysis and search volume data through the Marketing Miner API, connecting marketing intelligence tools to AI assistants like Cursor, Claude, and Windsurf.

Exposes tools that let an agent read a CV, search the Arbeitnow job board for Berlin AI/ML working student roles, score each vacancy against the CV, draft cover letters whose every claim cites CV facts, and queue them for human approval. The same tools can be driven from other MCP clients such as Claude Desktop, with scoring done deterministically in code and limits enforced outside the prompt.

MCP server that lets Claude read live financial data from Luni, including personal transactions, budgets, and business P\&L, cash flow, and partner distributions, by connecting to the Luni backend API.

Provides real-time oversight for Claude Code by connecting it to an OpenClaw agent that reviews, approves, blocks, or modifies actions before they execute.

askDB is an MCP server that retrieves relevant database schema (DDL) from a Pinecone index and provides it to LLMs to write SQL, without connecting to the database itself.

A neutral, public danger grade for MCP servers that AI agents rely on, providing A-F grades and transparency signals to vet servers before connecting.

Enables local Seventh-day Adventist Bible study, answering questions about Adventist beliefs and connecting topics to Scripture, church doctrine, and Ellen G. White writings with citations.

MCP server connecting AI models to SRG SSR public APIs – weather, TV/radio metadata, program guide and Swiss votations/elections since 1900.

Enables AI agents to create and update live two-team scoreboards, keep score, and share spectator links after securely connecting a user's account.

A fully modular RAG system with MCP protocol integration, enabling hybrid retrieval, multimodal support, and dual-mode transport for connecting to AI assistants like GitHub Copilot and Claude Desktop.

Enables controlling ecobee thermostats from ChatGPT by connecting a user's ecobee account through normal browser sign-in, without an ecobee developer API key. Supports listing thermostats, reading status, setting temperature or HVAC mode, and resuming schedules.

MCP server for checking supply-chain trust before connecting to AI agents, frameworks, or MCP servers.

MCP server connecting AI models to Swiss Federal Food Safety and Veterinary Office open data, enabling queries about food recalls, animal disease surveillance, food control results, and more.

Enables connecting multiple downstream MCP servers into a single gateway, with unified tool search, namespacing, and deferred loading to preserve context window.

Local-first personal memory for AI agents. Captures your Feishu chats, emails, meetings, and AI coding sessions into a private memory graph, and serves it to any agent over MCP.

A Model Context Protocol (MCP) server connecting AI agents to the Polygon blockchain for product origin verification and supply chain timeline auditing

Enables connecting your own Gmail or SMTP mailbox and managing email through tools for sending, replying, searching, reading threads, and creating drafts.

Enables connecting Blender 3D to AI assistants via MCP, allowing prompt-driven 3D modeling, scene editing, and real-time manipulation. Supports object/material control, scene inspection, viewport screenshots, and integrations with Poly Haven, Sketchfab, and AI model generators.

Enables connecting over 1,000 apps once, self-hosted and with encrypted credentials, so that Claude, Codex, Cursor, Copilot and dozens of other AI agents can call their APIs as MCP tools. Agents authenticate with per-agent tokens to get ready-made tools for every connected app, including app-specific actions like searching mail or sending messages.