Which integrations are available for this server?

Provides tools for text generation, image generation and editing, video generation, text-to-speech, embeddings, and deep research using Google's Gemini API.

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Sibyl Write a haiku about the moon" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

Sibyl

by hello-emrah

Overview Schema Related Servers Score Discussions

JavaScript

Remote

Sibyl

The oracle for Google's Gemini.

Where Pythia speaks for OpenAI, Sibyl speaks for Gemini. One MCP across the whole generative surface: text, image, video, speech, embeddings, and deep research. Built for personal use, shared openly, not productised.

Sibyl is a local Model Context Protocol server wrapping Google's Gemini generative API. It folds the old nano-banana (image) and gemini-deep-research servers into one coherent Gemini surface, and adds text, video, speech and embeddings, so an assistant reaches everything Gemini generates through a single tool set.

Tools

Tool	What it does
`generate`	Text, code, chat and reasoning with Gemini
`generate_image` / `edit_image`	Generate or edit images (Nano Banana). Edit takes one or more inputs for compositing and iterative refinement
`generate_video` / `video_status`	Generate video with Veo. Async: fire, then poll
`speak`	Text to speech with Gemini TTS
`embed`	Embedding vectors for one or more texts
`deep_research` / `research_get` / `research_followup`	Fire an autonomous multi-step research task, poll it, and save a cited Markdown report; ask follow-ups without re-running

Related MCP server: gemini-webapi-mcp

Requirements

Node 18 or newer.
A Gemini API key from Google AI Studio.

Install

git clone https://github.com/hello-emrah/sibyl-mcp.git
cd sibyl-mcp
npm install

Wire into Claude

{
  "mcpServers": {
    "sibyl": {
      "command": "node",
      "args": ["/absolute/path/to/sibyl-mcp/index.js"],
      "env": { "GEMINI_API_KEY": "your-key" }
    }
  }
}

Config

Variable	Purpose
`GEMINI_API_KEY`	Required. Your Gemini API key.
`GEMINI_DEEP_RESEARCH_API_KEY`	Optional. A separate key for the research agent; falls back to `GEMINI_API_KEY`.
`GEMINI_TEXT_MODEL` / `GEMINI_IMAGE_MODEL` / `GEMINI_VIDEO_MODEL` / `GEMINI_TTS_MODEL` / `GEMINI_EMBED_MODEL`	Optional model overrides; sensible current defaults otherwise.
`SIBYL_OUTPUT_DIR`	Where research reports and embedding files land by default.

License

MIT.

This server cannot be installed

license - permissive license

quality - not tested

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

–Release cycle

–Releases (12mo)

Commit activity

Resources

GitHub Repository

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