Gemini MCP Server

Gemini MCP Server

Provides 23 tools for Google's Gemini API, enabling chat, multimodal analysis, deep research, file management, and YouTube analysis via natural language.

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README

Gemini MCP Server

A Model Context Protocol (MCP) server providing 23 tools for Google's Gemini API -- chat, multimodal analysis, deep research, file management, YouTube analysis, and more.

Built with @google/genai SDK (v1.0.0+).

Features

  • Chat with Gemini models (single-turn, multi-turn, with tool modes)
  • Analyze images, audio, video, PDFs, YouTube videos, and URLs
  • Files API with auto-switching: inline for small files (<20MB), upload for large (up to 2GB)
  • Deep research agent with background polling and push notifications (Termux)
  • Structured JSON output, embeddings, code execution, translation, summarization
  • Google Search grounding and URL context
  • Thinking mode enabled by default (budget: 65535 tokens)
  • High media resolution by default

Prerequisites

Quick Install

git clone https://github.com/salviz/gemini-mcp-server.git
cd gemini-mcp-server
npm install

Register with Claude Code

CLI:

claude mcp add gemini -- node /path/to/gemini-mcp-server/index.js

Or add to your MCP config (~/.claude/claude_desktop_config.json or .mcp.json):

{
  "mcpServers": {
    "gemini": {
      "type": "stdio",
      "command": "node",
      "args": ["/path/to/gemini-mcp-server/index.js"],
      "env": {
        "GEMINI_API_KEY": "your-api-key"
      }
    }
  }
}

Environment Variables

Variable Required Description
GEMINI_API_KEY Yes Your Google Gemini API key

Tools (23)

Chat & Generation (6)

Tool Description
gemini_chat Send a prompt with optional search grounding and URL context
gemini_chat_multi Multi-turn conversation with message history
gemini_chat_with_tools Chat with mode switching: search, code, or all
gemini_search_grounded Search-grounded generation with source citations
gemini_structured_output Generate JSON output matching a provided schema
gemini_url_context Analyze one or more URLs using Gemini's URL context tool

Multimodal Analysis (6)

Tool Description
gemini_analyze_image Analyze an image file with Gemini Vision (JPG, PNG, GIF, WebP, BMP, SVG)
gemini_analyze_audio Transcribe, summarize, or describe audio (MP3, WAV, OGG, FLAC, AAC, M4A, Opus)
gemini_analyze_video Analyze a video file; auto-uploads large files via Files API (MP4, AVI, MOV, MKV, WebM)
gemini_analyze_pdf Analyze a PDF document (up to 2GB via Files API)
gemini_analyze_youtube Analyze a public YouTube video by URL (no download needed)
gemini_analyze_url Analyze content from an HTTP/HTTPS URL or GCS URI (gs://)

Deep Research (2)

Tool Description
gemini_deep_research Start a deep research task; sends push notification on completion
gemini_check_research Check status of a running deep research task by interaction ID

Files API (3)

Tool Description
gemini_upload_file Upload a file to Gemini (up to 2GB, retained 48 hours)
gemini_list_files List all uploaded files with metadata
gemini_delete_file Delete an uploaded file by name

Utilities (6)

Tool Description
gemini_list_models List available Gemini models with capabilities and token limits
gemini_count_tokens Count tokens in text using a model's tokenizer
gemini_embed Generate text embeddings (default: gemini-embedding-001, 3072 dimensions)
gemini_code_execute Execute Python code via Gemini's built-in sandbox
gemini_summarize Summarize text with configurable style (brief, detailed, bullet-points)
gemini_translate Translate text to any language with optional model override

Model Selection

Default model: gemini-3.1-pro-preview. Every tool accepts an optional model parameter.

Model Best For
gemini-3.1-pro-preview Default. Best quality for most tasks
gemini-2.5-flash Faster responses, lower cost
gemini-embedding-001 Text embeddings (used by gemini_embed)
deep-research-pro-preview-12-2025 Deep research agent (used internally)

Files API & Large File Handling

The server automatically handles file size:

  • <= 20MB: Sent inline as base64 (fast, no upload step)
  • > 20MB up to 2GB: Uploaded via Gemini Files API, then referenced by URI
  • YouTube URLs: Passed directly via fileData.fileUri (no download)
  • HTTP/HTTPS URLs: Passed via createPartFromUri (up to 100MB)
  • GCS URIs (gs://): Passed via fileData.fileUri

Uploaded files are retained for 48 hours. Use gemini_list_files and gemini_delete_file to manage them.

Deep Research

The gemini_deep_research tool uses Gemini's Interactions API with the deep-research-pro-preview-12-2025 agent:

  1. Starts research in background mode
  2. Polls for 50 seconds in case it finishes quickly
  3. If still running, starts background polling (every 30s, up to 30 minutes)
  4. Sends a push notification via termux-notification when complete
  5. Saves full results to ~/.cache/deep_research_*.txt

Use gemini_check_research to manually poll at any time.

Project Structure

gemini-mcp-server/
  index.js              # Server entry point
  tools/
    shared.js           # Shared config, AI client, extractText helper
    chat.js             # 17 tools: chat, analysis, research, files, YouTube
    utility.js          # 6 tools: models, tokens, embed, code, summarize, translate
  package.json

Security

  • API key from environment only -- never hardcoded in source
  • File paths validated -- absolute paths required, existence checked before reading
  • Stdio transport -- no network server exposed
  • No data logged or stored -- prompts and responses are not persisted

Dependencies

Package Version Purpose
@modelcontextprotocol/sdk ^1.0.0 MCP server framework
@google/genai ^1.0.0 Google Gemini AI SDK
zod ^3.24.0 Input schema validation

License

MIT

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