Sibyl Mcp — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Sibyl Mcp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
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<img src="assets/logo.png" alt="Gemini MCP" width="160" />
Formerly Sibyl.
An MCP server for Google's Gemini.
One MCP across the whole generative surface: text, image, video, speech, embeddings, and deep research. Built for personal use, shared openly, not productised.
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<a href="https://www.buymeacoffee.com/hello_emrah"><img src="https://img.buymeacoffee.com/button-api/?text=Buy%20me%20a%20coffee&emoji=%E2%98%95&slug=hello_emrah&button_colour=2E7D74&font_colour=ffffff&coffee_colour=ffffff&outline_colour=ffffff&font_family=Inter" alt="Buy me a coffee" height="44" /></a>
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Gemini MCP 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.
| 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 |
git clone https://github.com/hello-emrah/gemini-mcp.git
cd gemini-mcp
npm install{
"mcpServers": {
"gemini": {
"command": "node",
"args": ["/absolute/path/to/gemini-mcp/index.js"],
"env": { "GEMINI_API_KEY": "your-key" }
}
}
}| 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. |
GEMINI_OUTPUT_DIR | Where research reports and embedding files land by default. |
The visual mark and the tool itself were built deliberately against the visual language of capitalist software design. No gradients, no neon, no glass, no drop shadows, no isometric stock illustration. Single-shade flat seals in warm, considered colours, ancient-glyph silhouettes, generous whitespace. The mark could be pressed into wax or carved into stone.
This tool is built for personal use and shared openly. It is not productised, monetised, or instrumented. Use it for your own work or fork it for yours.
MIT.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.