"Connecting Feishu (Lark)" matching MCP servers:

MCP Server for notify to telegram / weixin

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.

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

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.

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

High-performance Model Context Protocol (MCP) server connecting Claude Code and AI agents to Google Gemini 3.8 Flash, Gemini 3.1 Pro, reasoning effort, and image generation.

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.

An MCP server that helps AI agents comprehend a codebase by providing tools for navigating, searching, and understanding code structure and history.

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.

Provides a local FastMCP STDIO server scaffold for connecting AI assistants to Welcome to the Jungle recruitment workflows, though the WTTJ integration is not yet implemented.

Enables exploring Vedha access patterns through read-only, fixture-backed tools for listing contexts, retrieving canvas models, diagnoses, atlas reviews, and audits before connecting a production backend.

Read-only server that reports what is actually true in a local Ansible checkout: the option specs of installed modules, task-argument validity checks, role interfaces, redacted inventory, play structure, effective config, requirements drift, and which tasks a collection upgrade would break. It lets coding agents verify specs and arguments against the installed collections before writing anything, without running plays, connecting to managed hosts, or supplying vault secrets.

Enables AI assistants to build complete, live websites from natural language descriptions by connecting to Buildez.ai.

Enables users to learn the full path for connecting a WhatsApp number to Meta's official Cloud API—including virtual numbers and Coexistence—and diagnose each onboarding phase with Graph API checks.

Enables AI assistants to debug JavaScript and TypeScript applications by connecting to Chrome DevTools Protocol-compatible debuggers, allowing them to set breakpoints, step through code, inspect variables, and evaluate expressions with full source map support.

Autonomous dark pattern detection and GDPR, CCPA, EU DSA, and FTC compliance auditor for AI coding agents in Cursor, Windsurf, Claude, and Cline.

Enables zero-cost autonomous coding and dual-agent verification by connecting AI IDEs to DeepSeek Harness and local or free model backends.

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

Enables code reviews and analysis by connecting Codex to ChatGPT in Chrome.

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 comprehensive bridge connecting AI agents to Unreal Engine 5.7 through 39 MCP tools for scene manipulation, asset management, and blueprint control. It enables real-time perception and editor automation using the Remote Control API and file-based protocols.

Enables AI agents to read terminal output, run commands, switch sessions, and follow native SFTP uploads by connecting to a locally running Termius via its debugging interface. Provides explicit session IDs, command-output markers, and native transfer status to replace repeated screenshots and clicks.

Self-hosted daemon connecting Claude Code, Codex, and other coding agents across machines via MCP + A2A: delegate tasks, ask questions, share results, and wake sessions.