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    Enables integration of Perplexity's AI API with LLMs, delivering advanced chat completion by utilizing specialized prompt templates for tasks like technical documentation, code review, and API documentation.
    1
    164 npm
    8
    MIT
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    An advanced MCP server that provides an agentic interface to Google's Gemini 3.1 models via Vertex AI, combining real-time Google Search, URL analysis, and Python code execution to solve complex multi-step research and data tasks.
    1
    MIT
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    Enables coding assistants to access Perplexity AI for quick fact-checking and in-depth research. Provides two tools: lookup for fast documentation queries and answer for comprehensive research with recommendations.
    2
    43 npm
    1
    MIT
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    A general-purpose MCP server providing web search, persistent memory storage, and secure code execution capabilities. It enables AI agents to search the web, store and retrieve data, and run Python/JavaScript code in sandboxed environments.
    8
    MIT
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    Wraps the TanStack CLI to provide programmatic access to documentation, library listings, and project scaffolding for the TanStack ecosystem. It enables AI assistants to search documentation and create new TanStack applications through the Model Context Protocol.
    7
    204 npm
    1
    MIT
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    A general-purpose MCP server that provides utility tools for echo, date/time, and file operations within Claude Code and Claude Desktop. It functions as an extensible framework designed to help developers easily build and register custom Python-based tools.
    11
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    A comprehensive Model Context Protocol server that provides advanced Node.js development tooling for automating project creation, component generation, package management, and documentation with AI-powered assistance.
    7
    9
    MIT
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    A production-ready FastMCP server template with modular architecture for building MCP servers with organized tools, resources, and prompts, featuring container support and AI agent documentation system.
    3
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    An MCP server that allows users to run and visualize systems models using the lethain:systems library, including capabilities to run model specifications and load systems documentation into the context window.
    2
    14
    MIT
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    Provides comprehensive documentation about AWS AgentCore framework to GenAI tools, enabling users to build production-ready AI agents with enterprise-grade security, observability, and scalability. Offers guidance on identity management, API integration, monitoring, code execution, memory storage, and tool integration for AI agents.
    7
    Apache 2.0
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    A Model Context Protocol server that provides specialized prompt suggestions for backend development, frontend development, and general tasks to help LLMs generate better content.
    6
    2 npm
    1
    MIT
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    A server based on Model Context Protocol that provides predefined prompt templates for tasks like code review and API documentation generation, enabling more efficient workflows in Cursor/Windsurf editors.
    10
    4 npm
    247
    MIT
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    Enables AI agents to interact with the Roark API by writing and executing TypeScript SDK code in an isolated sandbox, with built-in documentation search to guide those tasks.
    4,006 npm
    Apache 2.0
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    A Python-based MCP server that provides instant access to over 700 documentation sources and creates isolated Docker containers for safe code testing and experimentation.
    1
    AGPL 3.0
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    Provides AI assistants with comprehensive access to Motion.dev animation library documentation and code generation tools. Enables LLMs to generate Motion animations for React, JavaScript, and Vue with proper documentation backing and framework conversion capabilities.
    14
    MIT
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    A local-first MCP server for TouchDesigner that provides offline documentation retrieval and live control of TouchDesigner sessions, enabling AI-assisted network building and parameter management.
    2
    MIT
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    Server that enhances the capabilities of the Cline coding agent. It provides intelligent code suggestions, reduces hallucinations, and documents the knowledge base by leveraging your project's documentation and detecting the technologies used in your codebase.
    14
    MIT
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    Enables AI assistants to interact with Clojure REPLs for evaluating code, performing structural edits with bracket balancing, and looking up symbol documentation. Transforms AI coding assistants into interactive programming partners with access to runtime evaluation and real data structures.
    65
    MIT