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MCP Server

MCP servers are lightweight programs that expose specific capabilities to AI applications through the Model Context Protocol (MCP). Each server acts as a bridge between AI models and external systems, providing tools (executable functions), resources (read-only data), and prompts (reusable templates) through a standardized interface.

MCP servers communicate with AI-powered clients over stdio for local processes or HTTP with Server-Sent Events for remote connections. They can integrate with databases, APIs, file systems, development tools, and cloud services. A single AI application can connect to multiple MCP servers simultaneously.

The MCP server ecosystem includes registries such as the official MCP Registry, Glama, and Smithery, where developers publish and discover servers for specific use cases.

Here are 286 public repositories matching this topic...

XActions

⚡ The Complete X/Twitter Automation Toolkit — Scrapers, MCP server for AI agents (Claude/GPT), CLI, browser scripts. No API fees. Open source. Unfollow people who don't follow back. Monitor real-time analytics. Auto follow, like, comment, scrape, without API. Follow Bot. Like bot. Grow your account automatically.

  • Updated Jun 29, 2026
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Claude-Skills

343 AI skills, 76 expert agents, and 835 stdlib Python tools for every team: engineering, PM, marketing, C-level, compliance, and more. Installs on Claude Code, Cursor, Codex, Gemini, Copilot, and 6 other AI assistants.

  • Updated Jun 29, 2026
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Claude Config Editor is a lightweight web tool that helps you clean and optimize your Claude Code/Desktop config files (.claude.json). Analyze project sizes, bulk delete chat histories, export data for backup, manage servers visually, and speed up Claude—all locally, with auto-backup, no dependencies, and cross-platform support.

  • Updated Oct 29, 2025
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DevContext is a cutting-edge Model Context Protocol (MCP) server designed to provide developers with continuous, project-centric context awareness. Unlike traditional context systems, DevContext continuously learns from and adapts to your development patterns and delivers highly relevant context providing a deeper understanding of your codebase.

  • Updated May 30, 2025
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Temporal memory system for AI assistants with human-like forgetting curves. All data stored locally in human-readable formats: JSONL for short-term memory, Markdown (Obsidian-compatible) for long-term. Memories naturally decay unless reinforced. Features knowledge graphs, smart prompting, and MCP server integration for Claude.

  • Updated Jun 27, 2026
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