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    Enables GitHub Copilot and other LLMs to execute read-only SQL queries against Oracle databases with secure connection pooling and schema introspection capabilities.
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    AGPL 3.0
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    Enables semantic search and knowledge graph exploration of Obsidian vaults using Smart Connections embeddings. Provides intelligent note discovery, similarity search, and connection mapping through natural language queries.
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    MIT
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    AutoMem MCP provides persistent memory for AI assistants, enabling them to recall information across conversations and platforms with graph-vector retrieval.
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    MIT
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    A stdio MCP server that provides a single tool to query Gemini with Google Search grounding for current web information, returning synthesized answers with source links.
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    MIT
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    A FastMCP server that enables AI assistants to extract structured information from unstructured text using Google's langextract library through a secure, optimized Model Context Protocol interface.
    4
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    MIT
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    An MCP server that connects AI assistants to 10,000+ SaaS integrations through Platoona Connect, enabling search, connection, and execution of integration actions via natural language.
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    MIT
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    Integrates Jina.ai's Grounding API with LLMs for real-time, fact-based web content grounding and analysis, enhancing LLM responses with precise, verified information.
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    MIT
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    Enables access to the Hugging Face Hub API to search and retrieve information about machine learning models, datasets, and their metadata. Provides comprehensive tools for exploring the Hugging Face ecosystem including model details, dataset information, and parquet file access.
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    MCP Ollama server integrates Ollama models with MCP clients, allowing users to list models, get detailed information, and interact with them through questions.
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    MIT
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    Connects AI assistants to external data sources (Google, Bing, etc.) via SearchAPI.site, implementing the Model Context Protocol (MCP) for secure and contextual access to web information.
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    MIT
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    Enables web search capabilities through the Tavily API. Allows users to search the web for information using natural language queries via the MCP protocol.
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    A Model-Context-Protocol server that provides SQL query execution and database management capabilities for Vertica databases, featuring connection pooling, schema management, and security controls.
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    MIT
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    An MCP server that retrieves and provides AI model information from OpenAI, Anthropic, and Google through a unified interface.
    3
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    MIT
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    A Model Context Protocol implementation that enables large language models to call external tools (like weather forecasts and GitHub information) through a structured protocol, with visualization of the model's reasoning process.
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    MIT
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    Enables web search capabilities through the Tavily API, allowing users to search the internet for information using natural language queries. Demonstrates MCP server implementation with external API integration.
    3