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URL: https://glama.ai/mcp/servers/integrations/google-gemini

⇱ Google Gemini | Glama

  • Why this server?

    Allows analyzing images using Google Gemini's vision models (via OpenAI-compatible endpoint) to extract information, describe contents, perform OCR, and interpret visual data.

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    Enables image analysis using any OpenAI-compatible vision API, supporting URLs, local files, or base64 input with custom prompts.
    Last updated
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    MIT

  • Why this server?

    Serves as the default LLM provider for generating interview questions, scoring practice answers, and analyzing weak areas.

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    An open-source Python MCP server for AI-assisted interview preparation.
    Last updated
    17
    MIT

  • Why this server?

    Provides skills for using the Google Gemini API, including multimodal, function calling, structured output, and current models/SDKs.

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    A self-hostable, open-source, semantically-searchable Agent Skills registry delivered over MCP, with a three-tier progressive disclosure architecture.
    Last updated
    7
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    Apache 2.0

  • Why this server?

    Allows using Google Gemini models as the backend for the MCP server tools by setting the DEEPSEEK_BASE_URL to the Gemini API endpoint.

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    Enables using DeepSeek models as a small, cheap supervised worker from any MCP-compatible client, providing fast flash and deep reasoning tools for bounded tasks.
    Last updated
    2
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    MIT

  • Why this server?

    Provides persistent memory for Google Gemini CLI, enabling continuity across sessions with context compression and retrieval.

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    Portable, auditable, local-first MCP memory for MCP-compatible AI agents and coding workflows. It keeps durable project memory outside the model runtime, compresses continuity into smaller working packs, and carries forward operational state so agents can resume with less repetition.
    Last updated
    28
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    Apache 2.0

  • Why this server?

    Provides integration with Google's Gemini models for LLM-powered web crawling and form interaction.

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    Autonomous LLM-powered web crawler with 17 browser tools and goal-driven agent. Single Rust binary with stealth browsing, provider-agnostic LLM support, and built-in MCP server.
    Last updated
    26
    5
    MIT

  • Why this server?

    Allows consulting the Google Gemini CLI for parallel responses, specialized analysis, and web-enhanced lookups.

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    MCP server orchestrating local CLI agents (Claude Code, OpenAI Codex, Google Gemini) for cross-validation, second opinions, and persona-driven prompting.
    Last updated
    18
    MIT

  • Why this server?

    Allows Gemini agents to discover, evaluate, and install skills from the AI Skill Store marketplace via MCP tools for searching, inspecting schemas, and downloading packages.

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    Agent-first skill marketplace MCP server. AI agents discover, install, and share skills across 7 platforms via MCP protocol. 15 tools including skill search, download, upload, and agent discovery.
    Last updated
    18
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  • Why this server?

    Syncs project context to GEMINI.md format.

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    Persistent project context MCP server that syncs a single .faf file to all AI tool formats (Cursor, Windsurf, Cline, etc.), enabling eternal bi-sync and optimized context for AI assistants.
    Last updated
    31
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    MIT