Discover our curated collection of MCP servers for developer tools. Browse 20386 servers and find the perfect MCPs for your needs.
Manages and serves programming guidelines and rules to development tools for consistent coding standards.
Automates browser interactions using Python scripts for tasks like screenshot capture, HTML retrieval, JavaScript execution, and console log extraction.
Stores and retrieves AI assistant interaction data using a Neo4j graph database.
Securely executes pre-approved commands using the Model Context Protocol.
Provides a curated list of Model Context Protocol (MCP) server implementations for various integrations and functionalities.
Dynamically selects the most relevant tools for each query, providing access to unlimited LLM tools without context window limitations.
Provides an MCP Server for accessing and searching data related to the JSer.info JavaScript information website.
Enables interaction with GrowthBook directly from LLM clients for managing feature flags and experiments.
Provides an HTTP-based Model Context Protocol (MCP) server with SSE and streamable support.
Monitors file system events and provides real-time notifications to MCP clients for file changes.
Enables seamless data connectivity to the Trading212 trading platform, facilitating advanced interaction capabilities via the public beta API.
Analyzes codebases and builds a comprehensive graph database using Neo4j to enable AI-powered code understanding and assistance.
Enables AI assistants to interact with Paper's trading platform API using natural language.
Enables AI assistants to query and analyze distributed tracing data from Grafana Tempo through the Model Context Protocol.
Provides a TCP-based Model Context Protocol server for remotely building, testing, and running .NET Framework projects on Windows.
Caches and indexes `llms.txt` documentation locally for lightning-fast, line-accurate lookups.
Enables AI agents to generate and execute Python code in a sandboxed environment, seamlessly integrating with external Model Context Protocol tools.
Provides a persistent memory system for AI robots to learn from experience.
Empower AI assistants to control multiple CAD applications via the Model Context Protocol.
Automatically enhances Claude Code setups by continuously learning best practices from high-signal GitHub repositories and proposing safe `CLAUDE.md` improvements.
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