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Provides a secure runtime environment for fully-autonomous AI agents, designed for enterprise-grade deployment.
Enables AI code assistants to access and debug Node.js applications at runtime.
Enables AI assistants like Claude to interact with and manage AWS resources using natural language.
Implements Claude Code-like functionality using the Model Context Protocol, enabling code understanding, modification, and execution.
Injects relevant code and text context into Large Language Model chat interfaces.
Delegates AI coding tasks to Aider, enabling cost reduction and enhanced control over the coding model.
Enables LLM applications to perform in-depth research through the MCP protocol.
Integrates DeepSeek's language models with Model Context Protocol-compatible applications.
Enables AI-powered web search through an MCP server utilizing OpenAI's o3 model.
Exposes local capabilities to Large Language Models (LLMs) via the Model Context Protocol (MCP).
Enables LLMs to interact with iOS simulators using natural language commands.
Enables enhanced MySQL operations with anomaly analysis and custom tool extension capabilities.
Hosts a community-driven directory of MCP servers, enabling developers to discover and share tools.
Enables complex problem-solving by leveraging a multi-agent system for deeper analysis and coordinated task execution.
Enables AI assistants to interact with Argo CD applications and resources through natural language.
Manages Model Context Protocol (MCP) servers for the Claude Desktop application.
Enables conversational interaction with a PostgreSQL database, deployable as a remote MCP server with GitHub OAuth through Cloudflare.
Enables fast file and folder searching across Windows, macOS, and Linux operating systems.
Provides research and documentation assistance by leveraging the Perplexity AI Sonar Pro API.
Transforms codebases into searchable knowledge bases for AI assistants, providing both semantic and regex search capabilities via the Model Context Protocol.
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