"Connecting Feishu (Lark)" matching MCP servers:

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.

AI-powered MCP server for connecting and managing Jupyter Notebooks. Enables interactive code execution, multi-notebook management, and multimodal output for data analysis, visualization, and machine learning.

MCP server connecting Claude Code with E2B cloud sandboxes for working on any GitHub repo.

MCP server connecting Claude/Cursor to Codex CLI, enabling code analysis via @ file references, multi-turn conversations, sandboxed edits, and structured change mode.

A template for creating and connecting custom tools to Cursor IDE using Model Context Protocol with support for cheerful server responses.

A client library for connecting to and interacting with MCP servers hosted on smcphub.com, allowing users to find, publish, and call tools on MCP servers.

Provides access to Lark Bitable through the Model Context Protocol, allowing users to interact with Bitable tables using predefined tools.

Minimal MCP server allowing Python functions to be served as MCP tools over stdio or HTTP, with a built-in client for connecting to MCP servers.

A server that enables Cursor AI to generate code from Figma components by connecting to Figma's MCP Dev Server.

Enables Slack-driven coding agents in isolated cloud sandboxes per thread, with thread-scoped MCP tokens and fail-closed allowlists.

Universal database MCP server connecting to MySQL, PostgreSQL, SQLite, DuckDB and etc.

A serverless MCP (Model Context Protocol) server deployed on Cloudflare Workers that allows connecting AI models to custom tools without authentication.

Enables ChatGPT Developer Mode to operate as a local coding agent by connecting to your own repository through MCP, allowing it to read, write, search, edit files, run safe verification commands, and manage handoff context for continued work.

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.