Developer Tools Servidores MCP
Descubre nuestra colección curada de servidores MCP para developer tools. Explora 5661 servidores y encuentra los MCP perfectos para tus necesidades.
SimpleCalculator
Demonstrates a custom Model Context Protocol (MCP) implementation for basic arithmetic operations.
Servers Collection
Enhances Claude's capabilities in Cursor IDE with a collection of Model Context Protocol (MCP) servers.
Catfact
Fetches a random cat fact from the catfact.ninja API.
Client
Enables AI language models to communicate with external tools and services via the Model Context Protocol (MCP).
SQL Server Agent
Enables users to query SQL Server databases using natural language and receive structured SQL responses.
Axiom
Provides a model context server for Axiom, designed for use with the Zed AI assistant.
Redmine
Enables AI assistants to interact with Redmine instances for project and issue management via the Model Context Protocol.
Custom
Automates tasks by integrating Gmail and GitHub using an intelligent agent powered by OpenAI.
Cli
Enables secure command-line execution with validation for LLM applications.
Bun Mcp
Demonstrates a script-based local model context protocol (MCP) server using Bun and VS Code Copilot Chat in agent mode.
Instruction Server
Provides AI assistants access to a library of structured markdown instructions via the Model Context Protocol (MCP).
Daemonize
Enables AI agents to seamlessly manage and monitor long-running daemons via the Model Context Protocol.
Bash SDK
Interact with an MCP server using Bash scripts for automating tasks and managing server configurations.
Github
Integrates with GitHub's API through the Model Context Protocol (MCP).
BenBox
Builds an agent AI application utilizing Model Context Protocol tools with an Angular mobile user interface.
Server Demo
Demonstrates the implementation of a Model Context Protocol (MCP) server for context-aware communication between AI models and external tools.
Harvester
Enables AI assistants to interact with and manage Harvester HCI clusters via natural language.
Hashing
Enables LLMs to efficiently compute MD5 and SHA-256 hashes via the Model Context Protocol.
Qingtianyu
Exposes enterprise microservice APIs via the MCP protocol with dynamic tool registration.
Test
Validates MCP servers and their tokens.
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