Browser MCP is a Model Context Provider (MCP) server that allows AI applications to control your browser

Open source MCP Servers for AWS

Official Jina AI Remote MCP Server

Currents MCP server

文颜 MCP Server 可以让 AI 自动将 Markdown 文章排版后发布至微信公众号。

Kolbo AI MCP Server - Generate images, videos, music, speech, and sound effects from Claude Code

Product Maker MCP server — cost products, generate dropshipping landing pages, UGC videos, and ad creatives, and publish to Shopify and Meta Ads from Claude, ChatGPT, or Gemini.

Sellable MCP server for Claude Code, Codex, and Hermes campaign workflows

Baidu Map MCP Server

A Unified MCP Server Management App (MCP Manager).

Live data for AI agents — search, research, markets, crypto, X/Twitter. Pay-per-call via x402 micropayments.

MCP Server para 70 APIs públicas brasileiras

One place to manage & connect to all your MCP servers

Trusty Squire gives coding agents the ability to provision, ship, and pay — without your keys or card ever leaving the vault.

MCPCAN is a centralized management platform for MCP services. It deploys each MCP service using a container deployment method. The platform supports container monitoring and MCP service token verification, solving security risks and enabling rapid deployment of MCP services. It uses SSE, STDIO, and STREAMABLEHTTP access protocols to deploy MCP。

Open-source MCP server for LinkedIn. Give Claude and any MCP-compatible AI agent access to profiles, companies, jobs, and messages.

Local RAG MCP Server - Easy-to-setup document search with minimal configuration

MCP server for AI image generation

A unified hub for centrally managing and dynamically orchestrating multiple MCP servers/APIs into separate endpoints with flexible routing strategies.

Universal AI bridge for Obsidian vaults - connect any MCP-compatible assistant

MCP server for interacting with MySQL databases with write operations support

Private web search for AI assistants via SearXNG — supports Claude, Cursor, and any MCP client

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.

Excalidraw toolkit for AI coding agents — agent skill, CLI, and MCP server with a live canvas