Explore our complete collection of MCP servers to connect AI to your favorite tools.
Provides a universal database gateway implementing the Model Context Protocol (MCP) server interface.
Connects a Zotero research library with AI assistants to facilitate searching and discussing research papers.
Connects Ableton Live to Claude AI, enabling prompt-assisted music production and session manipulation.
Enables AI assistants to search and analyze arXiv papers through a simple Model Context Protocol interface.
Enables AI assistants to interact with the Godot game engine by launching the editor, running projects, and capturing debug output.
Converts various file types and web content into Markdown format.
Facilitates communication between MCP clients and servers by bridging different transport protocols like stdio and SSE.
Enables protocol-level interaction with a Model Context Provider server, allowing users to send commands, query data, and interact with server resources.
Crawls, extracts, and organizes technical documentation into an LLM-ready format, streamlining research and implementation for developers.
Consolidates multiple MCP servers into a single SSE endpoint for streamlined service management.
Manage Model Context Protocol servers with ease.
Supports developers and AI agents throughout the entire Postgres development process, from initial coding to production tuning.
Automates software development task management for AI agents, facilitating chain-of-thought reasoning and code consistency.
Enables the development, deployment, and scaling of web browsing agents through a single API.
Empowers AI agents and coding assistants with web crawling and retrieval-augmented generation (RAG) capabilities.
Enhances AI model reasoning by making it recursively evaluate and refine its responses through self-argumentation.
Empowers AI agents to access, discover, and extract real-time web data, bypassing restrictions and bot detection.
Streamline LLM Agent development with an all-in-one library offering tools, prompts, frameworks, and models.
Provides a Gradio web interface for locally running various Llama 2 models on GPU or CPU across different operating systems.
Transforms existing API servers and services into Model Context Protocol (MCP) compliant endpoints with zero code changes.
Automates data integration via a stable, self-healing SDK, providing automated schema-drift detection, retries, and remappings to maintain continuous data flow without connector maintenance or rewrites.
Aggregates and unifies multiple Model Context Protocol (MCP) servers, enabling middleware application and dynamic management.
Enables AI assistants to interact with Google Gemini CLI, leveraging its massive token window for large file analysis and codebase understanding.
Integrates advanced AI capabilities directly into Zotero, enabling users to chat with PDFs, extract detailed insights, and streamline research workflows.
Provides a collection of example UI components and Model Context Protocol (MCP) servers to demonstrate building rich applications for ChatGPT.
Integrates Perplexity's real-time web search, reasoning, and research capabilities into AI assistants.
Aggregates search results from various web search services through a unified metasearch library.
Analyzes multi-language codebases, builds comprehensive knowledge graphs, and enables natural language querying and editing of code using AI.
Securely save or export your private and public Slack messages, threads, files, and user data locally without requiring administrator privileges.
Automate API development processes and manage backend services, transforming business logic into scalable API products for both human and AI consumers.
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