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"Exploring Gemini Services or Tools That Don’t Require an API Key" matching MCP servers:

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    FastAPI server with Google Gemini AI integration that provides auto-routing to multiple tools including weather, news, web search, dictionary, and quotes APIs through natural language prompts.
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    A Multi-Agent Conversation Protocol Server that provides a natural language interface to the U.S. Department of Health & Human Services (HHS) Media Services API, allowing users to access health-related data and media resources through conversational AI.
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    A comprehensive suite of HTTP and API testing tools that enables AI agents to perform requests, check endpoint health, and decode JWTs. It also provides utilities for URL parsing and detailed security analysis of HTTP response headers.
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    MIT
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    Multi-tool MCP server for AI agents with 29 tools across web scraping, SEO analysis, screenshot and PDF generation, domain intelligence, content extraction, multi-chain EVM blockchain queries, and security toolkit. Free tier available with no auth required.
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    A server that provides access to Google Gemini AI capabilities including text generation, image analysis, YouTube video analysis, and web search functionality through the MCP protocol.
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    MCP-ORTools integrates Google's OR-Tools constraint programming solver with Large Language Models through the MCP, enabling AI models to: Submit and validate constraint models Set model parameters Solve constraint satisfaction and optimization problems Retrieve and analyze solution
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    MIT
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    Free DEX aggregator API that returns executable swap calldata across 46 EVM chains. No API key required. Single GET request returns ready-to-sign transactions for any token pair.
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    MIT
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    An autonomous AI development agent that enables full-stack coding, automated verification, RAG-powered code search, and quality assurance through MCP tools. Supports Gemini CLI, Claude Code CLI, with features like parallel verification, security scanning, and spec-driven development.
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    Apache 2.0
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    A secure MCP server that wraps the Google Gemini CLI, allowing clients to query Gemini models using local OAuth sessions without requiring an API key. It provides tools for model interaction and diagnostics with built-in protection against command injection.
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    Unified MCP server for Gemini media generation --Nano Banana (images), Veo 3.1 (video), TTS, and Lyria 3 (music). Single Go binary, 12 tools, supports Gemini API key and Vertex AI.
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    Apache 2.0
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    An AI-powered Model Context Protocol server for Claude Code that provides code intelligence tools including codebase analysis, task management, component generation, and deployment configuration.
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    Enables integration with Gemini AI through Claude Code, providing tools to execute queries to Gemini including basic requests and unsafe operations with auto-confirmation.
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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.
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    MIT
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    An MCP server that integrates Google Gemini with corporate management APIs to handle employees, clients, and suppliers through natural language. It enables dynamic data retrieval, record creation, and secure document listing without including sensitive data in the initial prompt.
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    Provides access to Google's Gemini API for multi-turn conversations and image generation using Nano Banana, serving as a drop-in alternative to Codex MCP.
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    Enables Claude Code to use Google Gemini AI capabilities for analyzing PDFs and images, generating and translating text, and reviewing code. Supports both CLI and API backends with different quota limits.
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    A Model Context Protocol server that enables LLMs to perform web searches using Google's Gemini API and return synthesized responses with citations.
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    MIT
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    A server that allows interaction with Google's Gemini AI through the Gemini CLI tool using the Model Context Protocol, providing a standardized interface for querying Gemini with various options and configurations.
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    Enables comprehensive codebase analysis using Google's Gemini CLI and its massive context window. Supports file/directory analysis, security audits, architecture analysis, feature verification, and complete project overviews for large codebases that exceed other AI models' context limits.
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    Enables interaction with Google Gemini AI models through MCP protocol. Provides text generation capabilities with configurable model selection and temperature settings.
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    Integrates Google's Gemini AI with Claude Code to provide advanced development assistance including code analysis, implementation planning, technical explanations, debugging support, and strategic development guidance.
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    MIT
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    A TypeScript-based MCP server that provides tools to interact with local Codex and Gemini CLIs via stdio transport. It enables users to execute prompts through the ask_codex and ask_gemini tools, supporting custom models and timeout configurations.
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    A local Model Context Protocol (MCP) server that exposes custom tools to Claude Desktop, enabling direct interaction with your local environment. It provides a framework for building and integrating custom TypeScript tools into the Claude interface.
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    MIT
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    A dedicated server that wraps Google's Gemini AI models in a Model Context Protocol (MCP) interface, allowing other LLMs and MCP-compatible systems to access Gemini's capabilities like content generation, function calling, chat, and file handling through standardized tools.
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    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.
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