Developer Tools Servidores MCP
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Weather
Provides a basic server to assist large language models.
Your Coding Master
Assists in debugging, coding, and resolving code-related errors.
Minecraft Client
Connects AI agents to Minecraft servers, enabling comprehensive control over in-game bots and execution of predefined skills.
Welcome
Provides a robust and scalable server architecture for various applications.
Github
Facilitates note storage and summarization with a custom URI scheme and tools for adding new notes.
Secpioneer
Leverages AI to function as an agent for security capabilities.
WaylayIO
Demonstrates a basic MCP server implementation for exploring multi-agent interactions.
Demo
Provides a basic server implementation demonstrating the Model Context Protocol.
Better Auth
Manages authentication with secure credential management, multi-protocol support, and threat detection.
Browser Use
Enables LLMs to interact with web browsers through a server using SSE transport for executing tasks and retrieving results.
Mcp-github
Implements a Model Context Protocol server utilizing the GitHub API.
Popmelt
Generates dynamic design systems and UI components from JSON metadata, producing CSS outputs based on weighted attributes.
Server Manager
Installs and manages Model Context Protocol (MCP) servers for Claude and other LLM clients within Visual Studio Code.
DevRev
Integrates with DevRev APIs to search and retrieve information.
Mcp Servers
Provides a collection of Model-Context-Protocol (MCP) servers for the Cursor IDE, enabling integration with external tools.
Spotify
Enables AI assistants to control Spotify playback and access user playlists through the Model Context Protocol (MCP).
Github
Facilitates interaction with the GitHub API using the Model Context Protocol.
LLM
Facilitates the creation of MCP (Model Control Protocol) clients and servers for Large Language Models.
Lspace Docs
Transforms dispersed documents into a unified, searchable knowledge base.
Memory
Provides persistent knowledge graph-based memory capabilities for Large Language Models.
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