@hubertciebiada/context-crystallizer
Context Crystallizer transforms large code repositories into AI-optimized knowledge bases through systematic analysis, extraction, and compression of code functionality, patterns, and relationships for efficient AI consumption.
@szeider/consult7
Consult7 is an MCP server that enables AI agents to analyze large codebases and document collections by leveraging models with massive context windows from OpenRouter, OpenAI, and Google providers.
@kocierik/consul-mcp-server
A Model Context Protocol (MCP) server that provides standardized access to Consul's service management, health checks, KV store, sessions, events, and system functionality through a unified interface.
@AshwinSundar/congress_gov_mcp
Unofficial MCP server for the Congress.gov API that allows AI assistants to query US congressional data including bills, members, committees, votes, and legislative records directly from official government sources.
@baryhuang/mcp-remote-macos-use
The first open-source MCP server enabling AI to fully control remote macOS systems, providing complete desktop capabilities without additional software installation.
@AB498/computer-control-mcp
MCP server providing computer control capabilities including mouse, keyboard, OCR, and screen management using PyAutoGUI and RapidOCR with zero external dependencies.
@g0t4/mcp-server-commands
MCP server that provides a run_command tool for LLMs to execute shell commands, enabling AI assistants to interact with the local system through Claude Desktop and Groq Desktop.
@shinzo-labs/coinmarketcap-mcp
A Model Context Protocol (MCP) server implementation for the CoinMarketCap API, providing standardized access to cryptocurrency market data, exchange information, and blockchain metrics.
@longmans/coin_api_mcp
A Model Context Protocol server that provides AI applications with access to CoinMarketCap's cryptocurrency data, including listings, quotes, and detailed coin information through standardized tools.
@topoteretes/cognee/tree/main/cognee-mcp
Cognee provides dynamic memory for AI agents with scalable ECL pipelines, replacing RAG systems while reducing developer effort and costs through modular data processing.
@Automata-Labs-team/code-sandbox-mcp
A secure sandbox environment for executing code within Docker containers, providing AI applications with safe and isolated environments while maintaining security through containerization.
@bazinga012/mcp_code_executor
MCP Code Executor enables LLMs to execute Python code within specified environments (Conda, virtualenv, or UV virtualenv) with support for incremental code generation to overcome token limitations.
