Discover our curated collection of MCP servers for developer tools. Browse 14153servers and find the perfect MCPs for your needs.
Retrieves real-time hardware and system details for monitoring and diagnostics.
Provides TigerBeetle account management using the Model Context Protocol.
Implements a simple blockchain in Rust, exposing functionalities via a CLI and MCP server for network interaction.
Provides an HTTP server with Server-Sent Events and message receiving capabilities for remote servers.
Enables reading and serving of data from CLP (Compressed Log Protocol) files for use with Model Context Protocol (MCP).
Demonstrates basic usages of the Model Context Protocol with a Python server and client.
Facilitates seamless, production-ready integration with the Secret Network blockchain through the Model Context Protocol.
Automate the generation of layered Java code from database schemas, supporting multiple database types for efficient software development.
Provides a remote Model Context Protocol (MCP) server integrated with GitHub OAuth for secure client connections.
Enforces structured planning and validation for product development through a contract-based organization system.
Integrates with Bar Assistant instances to provide intelligent cocktail search and detailed recipe retrieval through natural language queries.
Provides an MCP server enabling AI models to programmatically interact with Grist instances for data management.
Automates trade surveillance support workflows by integrating with existing SQL configurations and Java code repositories using a Model Context Protocol (MCP) server.
Provides a secure, read-only server for filesystem scanning, searching, and analysis with comprehensive security validation.
Develops AI-powered fitness tracking mobile applications leveraging Expo, React Native, Tailwind CSS, and Sanity CMS for comprehensive data and content management.
Facilitates interaction with the Data Commons Knowledge Graph by providing tools and agents for information retrieval.
Monitors Git repositories to ensure clean commit history and nudges AI agents to maintain code hygiene during AI-first development.
Establishes a strict agentic protocol and memory system for Playwright, ensuring grounded verification, institutional memory, and architectural governance for test automation.
Exposes Granola meeting intelligence as structured, queryable Model Context Protocol (MCP) resources for AI agents and automation pipelines.
End of results