"Connecting Feishu (Lark)" matching MCP servers:

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

Validates and tests llguidance grammars (Lark format), providing grammar validation, batch test execution, and syntax documentation.

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.

MCP Server for notify to telegram / weixin

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.

An interactive feedback MCP server that enables one conversation with unlimited AI interactions, bridging agent tools with Feishu for mobile replies.

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

Enables Codex-powered Git code review by collecting diffs and generating Chinese Markdown reviews with optional Feishu notifications.

A Model Context Protocol server that provides LLMs with read and write access to Feishu Base (飞书多维表格) databases, enabling them to inspect schemas and manipulate records through natural language.

飞书多维表格

Enables Cursor's AI agent to perform supercharged local file search on Windows by connecting to Agent Ransack via MCP, supporting content and filename searches, regex, and deep folder scans.

A specialized testing harness that enables AI assistants to thoroughly test other MCP servers by connecting to them, discovering their tools/resources/prompts, executing test calls, and performing end-to-end validation with LLM integration.

MCP server that gives AI agents full access to ITASCA PFC - browse documentation, run simulations, capture plots, all through natural conversation. Built on the Model Context Protocol, pfc-mcp turns any MCP-compatible AI client (Claude Code, Codex CLI, Gemini CLI, OpenCode, toyoura-nagisa, etc.) into a PFC co-pilot that can look up commands, execute scripts, monitor long-running simulations.

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 lightweight notification service that sends webhooks when AI agents complete tasks. Supports multiple providers like Discord, Slack, Teams, Feishu, and Ntfy.

Enables LLMs to manage a todo list application through the Model Context Protocol, connecting directly to a browser-based Postgres database to add, list, complete, and remove todo items with categories, priorities, and due dates.

Enables connecting to local or remote MS SQL Server instances and provides tools for testing connections, listing databases and tables, describing schemas, and executing T-SQL queries.

Enables creation of complete metamodels and model instances through natural language interaction by connecting Large Language Models to the MM-AR metamodeling platform.

Provides unified access to all tools integrated with the VeyraX platform through a single authentication. Eliminates the need for multiple logins by connecting once to access all your tools across any MCP-compatible environment.