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Hosts a community-driven directory of MCP servers, enabling developers to discover and share tools.
Enables conversational interaction with a PostgreSQL database, deployable as a remote MCP server with GitHub OAuth through Cloudflare.
Provides research and documentation assistance by leveraging the Perplexity AI Sonar Pro API.
Integrates Claude with Neovim using the Model Context Protocol to enable AI-assisted text editing.
Exposes local capabilities to Large Language Models (LLMs) via the Model Context Protocol (MCP).
Manages Model Context Protocol (MCP) servers for the Claude Desktop application.
Simplifies the process of connecting to Model Context Protocol (MCP) servers for enhanced client integration.
Facilitates interaction with AI agents, supporting both default and custom agent configurations for multi-turn conversations and task automation.
Enables web searches within MCP-compatible applications using the Perplexity AI API.
Analyzes codebases to identify important files based on dependency relationships, generating diagrams and importance scores to improve AI understanding.
Provides integration with Chrome's debugging capabilities by acting as a Model Context Protocol (MCP) server for Claude Desktop and Claude Code.
Integrates Apktool with Model Context Protocol (MCP) to provide live reverse engineering support with LLMs like Claude.
Connects Rhino 3D to AI Agents via the Model Context Protocol (MCP), enabling AI-assisted 3D modeling.
Enables Large Language Models (LLMs) to interact with MongoDB databases for schema inspection and operation execution.
Connects AI models to an Obsidian knowledge base for direct access and manipulation of notes and folders.
Enhances Claude Desktop's reasoning capabilities with beam search and Monte Carlo Tree Search.
Enables AI models and coding assistants to semantically search and retrieve Claude Agent Skills using vector embeddings and the Model Context Protocol.
Empowers AI assistants with image processing capabilities such as cropping, resizing, object detection, and OCR through an MCP server.
Manages and semantically searches documents using AI embeddings, bridging knowledge gaps for various content types.
Provides a Model Context Protocol (MCP) server for interacting with the App Store Connect API.
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