Telegram
Turn any Telegram bot into a chat-first AI assistant. Sign in with Google, paste your BotFather token, message your bot.
Find MCP servers that connect AI assistants to useful tools and data. Explore what each server does, its setup and its documentation.
2703 servers · Page 128 of 226
Turn any Telegram bot into a chat-first AI assistant. Sign in with Google, paste your BotFather token, message your bot.
# GDB MCP 服务器 一个支持人工智能辅助调试的 GDB MCP (Model Context Protocol) 服务器。该服务器允许 AI 代理和其他工具通过 MCP 协议与 GDB 进行交互。 > **注意**:本项目目前处于开发阶段。我们欢迎社区成员提出建议和反馈,帮助我们改进这个工具。 项目地址:https://github.com/yywz1999/gdb-mcp-server ## 特性 - 发现并附加到现有的…
Vet a package before your AI coding agent uses it — authoritative facts (CVEs, license, maintenance) via an MCP server + CLI. Local, no…
# ros2-mcp-server `ros2-mcp-server` is a Python-based server that integrates the Model Context Protocol (MCP) with ROS 2, enabling AI assistants to control robots via…
# MCP Wolfram Alpha (Server + Client) Seamlessly integrate Wolfram Alpha into your chat applications. This project implements an MCP (Model Context Protocol) server…
Official MCP server for Social0. Create, schedule, and publish posts to Instagram, TikTok, YouTube, X, LinkedIn, Facebook, Pinterest, Threads, and… 13 tools, with
VidNotes for Agents — API client, CLI, and MCP server. Turn any video into transcripts, summaries, chapters, and comparisons from Claude, Codex, or…
Agent-agnostic persistent memory as an MCP Server (SQLite + Chroma + Markdown).
Turn your Android phone into a camera & sensor source for PC AI agents — a local MCP bridge for Claude, Codex & more.…
URL → PNG/JPEG/PDF capture API + MCP server for AI agents. Playwright + Fastify, deploy-ready on Fly.io.
Find YouTube outliers, daily viral Shorts, and analyze video performance.
The Directus Content MCP Server is an interface for Directus users to interact with their data in LLMs.
An MCP server exposes tools or data through the Model Context Protocol so a compatible AI client can use them. Each project has its own installation, authentication and permission requirements.
Open a server’s page for its getting-started notes, compatibility and sources, then follow the original project’s documentation for your AI client.
Entries link to the original documentation. Check access requirements, costs and maintenance there before installing, and grant a server only the access it needs.