Gemini MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| GEMINI_API_KEY | Yes | Your Google Gemini API key |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| gemini_chatB | Send a prompt to Gemini and get a text response. Optionally enable search grounding or URL context. |
| gemini_analyze_imageB | Analyze an image file with Gemini Vision |
| gemini_analyze_audioC | Analyze an audio file with Gemini (transcribe, summarize, describe) |
| gemini_analyze_videoB | Analyze a video file with Gemini (describe, summarize, extract info) |
| gemini_analyze_pdfA | Analyze a PDF document with Gemini (summarize, extract, answer questions) |
| gemini_chat_multiB | Multi-turn conversation with Gemini using message history |
| gemini_search_groundedB | Send a prompt to Gemini with Google Search grounding and URL context for up-to-date information |
| gemini_structured_outputB | Get structured JSON output from Gemini using a provided JSON schema |
| gemini_url_contextC | Analyze one or more URLs using Gemini URL context tool. Gemini fetches and reads the URLs directly. |
| gemini_chat_with_toolsA | Flexible Gemini chat with mode switching: "search" (Google Search + URL context), "code" (code execution), or "all" (everything) |
| gemini_deep_researchA | Start a deep research task using Gemini Deep Research. Returns an interaction ID. Then call gemini_check_research with wait=true in the background to get notified when complete. |
| gemini_check_researchA | Check or wait for deep research results. Use wait=true to block until completion (ideal for background execution — the tool returns when research finishes, triggering a task notification in your AI client). |
| gemini_upload_fileA | Upload a file to Gemini Files API for use with analysis tools. Files are retained for 48 hours. Max 2GB per file, 20GB total. |
| gemini_list_filesB | List files uploaded to the Gemini Files API |
| gemini_delete_fileB | Delete a file from the Gemini Files API |
| gemini_analyze_youtubeA | Analyze a public YouTube video with Gemini (summarize, transcribe, answer questions). Supports up to 10 videos with Gemini 2.5+ models. |
| gemini_analyze_urlC | Analyze a file from a public URL (HTTP/HTTPS) or Google Cloud Storage URI (gs://). Supports images, audio, video, PDFs, and documents up to 100MB. |
| gemini_list_modelsB | List available Gemini models with their capabilities and token limits |
| gemini_count_tokensB | Count the number of tokens in the provided text using a Gemini model |
| gemini_embedB | Generate text embeddings using a Gemini embedding model |
| gemini_code_executeB | Generate and execute code using Gemini's built-in code execution capability |
| gemini_summarizeA | Summarize long text using Gemini with configurable summary style |
| gemini_translateC | Translate text to a target language using Gemini |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 23 tools
Most tools have distinct purposes, but there is some overlap among chat variants (e.g., gemini_chat, gemini_chat_multi, gemini_chat_with_tools) and analysis tools (e.g., analyze_pdf vs. summarize). Descriptions help, but an agent might occasionally select the wrong tool.
All tools follow the consistent pattern 'gemini_verb_noun' (e.g., gemini_analyze_audio, gemini_list_files). The naming is uniform and predictable, making it easy for an agent to infer tool purposes.
23 tools cover a broad range of capabilities. While the count is slightly high, each tool serves a distinct function within the Gemini ecosystem. A few similarities exist, but overall the scope is justified.
The tool set covers all major Gemini features: multimodal analysis, chat variants, file management, embeddings, code execution, search, structured output, and more. There are no obvious gaps for typical use cases.