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  • A
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    Live sports betting player props MCP server covering NBA, MLB, NFL, NHL, NCAA, and soccer. Unified from real sportsbooks into one REST API and a real MCP server (Streamable HTTP). Free tier, no card required.
    5
    MIT
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    Enables AI coding agents to make fast, zero-output-token decisions by evaluating context, diffs, logs, or options through the OpenRouter Decisions API using TypeSafe Jev, returning calibrated probabilities for binary, categorical, or scoring questions.
    1
    23 npm
    3
    MIT
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    Enables AI-powered web searches using Google's Gemini 2.5 models with Google Search Grounding. Supports multiple Gemini models (Flash, Flash-Lite, Pro) with configurable thinking budget and web search capabilities.
    1
    10 npm
    2
    MIT
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    A Model Context Protocol server that enables Claude Desktop to interact with Google's Gemini 2.5 Pro Experimental AI model, with features like Google Search integration and token usage reporting.
    2
    22 npm
    4
    Apache 2.0
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    A TypeScript implementation of a Model Context Protocol server that integrates with Google's Gemini 2.0 Flash model, enabling Claude Desktop users to interact with Gemini through natural language conversations.
    1
    101 npm
    3
    MIT
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    A lightweight MCP server that exposes Google Gemini as tools for Claude Code, enabling question answering, code analysis, multi-turn chat, and model listing.
    59 npm
    MIT
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    maintenance
    Minimal MCP server that provides access to Google's Gemini API with Google Search grounding for up-to-date information through a single ask_gemini tool.
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    maintenance
    An MCP server that adds real-time web research to Claude Desktop using Gemini 2.5 Flash with native Google Search grounding.
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    Enables users to search and fetch Google's Gemini API documentation directly within an MCP-compliant environment. It provides structured access to guides and references for features like function calling, embeddings, and text generation.
    2
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    Enables interaction with Google's Gemini AI models including file uploads, conversation management, and batch API processing for large-scale tasks at reduced costs. Supports multiple Gemini models with advanced features like embeddings generation and automated workflow processing.
    21
    31 npm
    1
    MIT