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 icon

SimpleCalculator

Demonstrates a custom Model Context Protocol (MCP) implementation for basic arithmetic operations.

Servers Collection icon

Servers Collection

Enhances Claude's capabilities in Cursor IDE with a collection of Model Context Protocol (MCP) servers.

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Catfact

Fetches a random cat fact from the catfact.ninja API.

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Client

Enables AI language models to communicate with external tools and services via the Model Context Protocol (MCP).

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SQL Server Agent

Enables users to query SQL Server databases using natural language and receive structured SQL responses.

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Axiom

Provides a model context server for Axiom, designed for use with the Zed AI assistant.

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Redmine

Enables AI assistants to interact with Redmine instances for project and issue management via the Model Context Protocol.

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Custom

Automates tasks by integrating Gmail and GitHub using an intelligent agent powered by OpenAI.

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Cli

Enables secure command-line execution with validation for LLM applications.

Bun Mcp icon

Bun Mcp

Demonstrates a script-based local model context protocol (MCP) server using Bun and VS Code Copilot Chat in agent mode.

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Instruction Server

Provides AI assistants access to a library of structured markdown instructions via the Model Context Protocol (MCP).

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Daemonize

Enables AI agents to seamlessly manage and monitor long-running daemons via the Model Context Protocol.

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Bash SDK

Interact with an MCP server using Bash scripts for automating tasks and managing server configurations.

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Github

Integrates with GitHub's API through the Model Context Protocol (MCP).

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BenBox

Builds an agent AI application utilizing Model Context Protocol tools with an Angular mobile user interface.

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Server Demo

Demonstrates the implementation of a Model Context Protocol (MCP) server for context-aware communication between AI models and external tools.

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Harvester

Enables AI assistants to interact with and manage Harvester HCI clusters via natural language.

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Hashing

Enables LLMs to efficiently compute MD5 and SHA-256 hashes via the Model Context Protocol.

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Qingtianyu

Exposes enterprise microservice APIs via the MCP protocol with dynamic tool registration.

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Test

Validates MCP servers and their tokens.

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