A simple MCP server for interacting with OpenAI assistants. This server allows other tools (like Claude Desktop) to create and interact with OpenAI assistants through the Model Context Protocol.
Self-hosted digests of your Telegram channels over MCP: AI summaries, the last digest and raw per-channel messages. Works with OpenAI, Anthropic or local Ollama.
A toolkit that enables AI assistants to directly call Feishu/Lark API interfaces for automation scenarios like document processing, conversation management, and calendar scheduling.
Enables chatting with an existing OpenAI dot from WeChat by bridging incoming text, images, and files to the dot and sending its replies back to the same conversation.
Enables AI agents to initiate and control outbound telephone calls and answer inbound calls through Telnyx and LiveKit, with realtime voice conversations powered by Gemini Live or OpenAI Realtime.
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 real-time communication and shared vector memory between Claude Code, OpenAI Codex CLI, and Google Gemini CLI. It allows different AI platforms to exchange messages, share context, and collaborate through a unified MCP interface.
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 list and read existing ChatGPT conversations and send messages into them, retrieving the assistant's reply through ChatGPT Desktop's native bridge. It works without cookies, UI automation, or an OpenAI API key.
Enables DeepSeek Harness agents to operate Feishu/Lark through the official OpenAPI MCP subprocess using app credentials, exposing tools for sending IM messages, reading and writing Bitable tables, and managing docs, calendar, and drive files. A web settings panel configures credentials, tests connectivity, and lists discovered tools.
Enables MCP agents to ring a user on their Linux desktop, connect a native OpenAI Realtime assistant for spoken discussion, and return call status or transcripts. It also lets the assistant perform read-only lookups in a fixed document directory during the conversation.
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.