gemini-mcp
Provides tools for interacting with Google Gemini's media generation API, enabling image generation/editing, video generation, music generation, and file management through the Gemini platform.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@gemini-mcpgenerate an image of a cat wearing a hat"
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.
gemini-mcp
MCP server for Google Gemini media generation. Exposes eleven tools to Claude over stdio: list available models, generate/edit/compose images, generate a consistent set of images from a master prompt, multi-turn image refinement (Interactions API), video generation (omni), music generation (Lyria), an async result poll for long generations, and Files API upload/list/delete for reusable image references. Output is written to disk by default (path returned) or returned inline as base64. Built on the Gemini v1beta API (generativelanguage.googleapis.com) using the Nano Banana / Nano Banana Pro (images), omni (video), and Lyria (music) model families.
Developed and maintained by AI (Claude Code).
Environment Variables
Variable | Required | Description |
| Yes | Your Google Gemini API key (aistudio.google.com/apikey) |
| No | Override the default image model (default: |
| No | Default directory for generated images (default: current working directory) |
| No | Directory to resolve bare input-image filenames against (so |
| No | Upstream request timeout in ms (default: |
| No | Progress-notification cadence in ms while a generation runs (default: |
| No | How long to wait out interactions-store lag when a chained call 404s (default: |
Long generations and client timeouts
4K / Pro-model generations can outrun an MCP host's own tools/call timeout (error -32001).
The server sends notifications/progress heartbeats so hosts that reset their timeout on
progress wait it out. If the host still gives up, the server-side generation usually completes
anyway: the image is written to the output dir, gemini_interact also writes an
<image>.json sidecar recording the interaction_id, and continue_last: true resumes the
interaction the lost response belonged to.
When a chained call 404s
A 404 on a request carrying previous_interaction_id is not proof the chain expired. The
only 404 body observed live is generic — "Requested entity was not found." — and never names
which entity. An unknown or renamed model id, and an expired Files API files/… uri
(~48h TTL), return exactly the same thing. So the server no longer asserts a cause it can't
establish: the upstream text is surfaced verbatim, and gemini_interact runs an experiment to
find out which it was.
Most often the id isn't missing at all — it just isn't visible yet. The interactions store is
eventually consistent, and a freshly created id can 404 while the same id resolves fine minutes
later; heavy turns (4K, Pro, thinking_level: high) are the likeliest to hit it, which is
exactly the turn you most want to chain from. So a chained 404 is retried with exponential
backoff for up to 120s (GEMINI_CHAIN_RETRY_MS) before anything is declared broken. The
404 generates nothing and isn't billed, so the wait costs only time.
After that budget is spent, the tool looks up that id's sidecar, re-attaches the image it produced, and re-issues the request without the chain:
The re-issue succeeds → the chain really was the problem, and you get your image anyway, reported as
chain_recovered: { expired_interaction_id, reanchored_on }. The 404'd attempt generates nothing, so this costs the one generation you'd have paid for re-anchoring manually.The re-issue 404s too → the interaction id was never the cause. You get told exactly that, with the upstream text, and pointed at the model id and any
files/…uri instead of being sent to chase an interaction that was fine all along.No sidecar matches the dead id → the original error, rather than a guess. Re-anchoring on the wrong picture would silently corrupt the edit.
Separately, continue_last no longer dies with the server process: with no in-memory id it
resumes from the newest <image>.json sidecar in the output dir and reports
continued_from_sidecar: true. That case was never an expired chain at all — the interaction
was alive upstream the whole time; only our memory of its id was gone.
For hosts whose timeout can't be tamed (e.g. Claude Desktop, a fixed ~30s cap that ignores progress), two guards make re-issuing safe and unnecessary:
async: truereturns ajob_idimmediately instead of the image, so the call can't time out at all; pollgemini_get_resultwith thejob_iduntil it'sdone.idempotency_keymakes a repeat call idempotent — a retry with the same key returns the recorded result (reused: true) instead of billing a second generation. (Even without a key, two identical in-flight calls are deduplicated automatically.)
Related MCP server: mmxomni
Tools
Tool | Description |
| List available Gemini image models and the current default |
| Generate image(s) from a text prompt |
| One-off edits or multi-image composition with a text instruction (for a series of edits, use |
| Generate a master image plus N consistent images referencing it |
| Preferred tool for iterative refinement: multi-turn generation/editing via the Interactions API — chain the returned |
| Generate a short video (text→video, image→video, or |
| Generate music from a text prompt via a Lyria model — |
| Fetch an async generation started with |
| Upload an image (or video/audio) to the Gemini Files API once — from a |
| List the files currently uploaded under this API key, with MIME types and expiry times |
| Delete an uploaded file before its ~48h expiry (confirm-gated) |
Sending reference images without burning context
Every tool that takes a reference image — gemini_image_generate, gemini_image_edit,
gemini_image_set, gemini_interact, plus gemini_video_generate (reference stills) and
gemini_music_generate — accepts them four ways. Only one of them costs model context:
Parameter | Where the bytes travel | Context cost |
| the server downloads the https URL | none |
| a | none |
| read off local disk (stdio builds only) | none |
| through the tool-call JSON | ~14k tokens per JPEG |
images_base64 is the fallback of last resort. It costs roughly 14k tokens per modest photo,
and it is silently corrupted whenever the file read that produced it was truncated — the
payload still looks like base64, so the failure surfaces as a bad generation rather than an
error. Prefer any of the other three.
images_url — the server fetches it
{ "prompt": "make it look like winter", "images_url": ["https://example.com/photo.jpg"] }Fetches are restricted to public https:// URLs — private, loopback and link-local hosts are
refused (IPv6 literals are parsed, so [::ffff:7f00:1] is caught as loopback), every redirect
hop is revalidated, and each hop is bounded by a timeout. The response must be
Content-Type: image/* and is capped at 15MB, enforced while streaming rather than trusted
from Content-Length. A failure names the offending URL. Anything over 6MB is uploaded to the
Files API and referenced by uri instead of inlined, since generateContent caps a whole
request near 20MB.
images_file_uris — upload once, reference many times
// 1. upload
{ "tool": "gemini_upload_file", "url": "https://example.com/photo.jpg" }
// → { "file_uri": "files/abc123", "mime_type": "image/jpeg", "expires": "..." }
// 2. reference it, as many times as you like
{ "prompt": "make it winter", "images_file_uris": ["files/abc123"] }
{ "prompt": "make it sunrise", "images_file_uris": ["files/abc123"] }Uploads are retained ~48h; after that the reference stops resolving (as a generic 404 —
see the chained-404 section above). gemini_image_set fetches or resolves such a reference
once and passes it to the master and every scene call.
On stdio builds, a local images path that gets referenced more than once in a session is
uploaded to the Files API automatically (keyed on path + mtime + size), so repeated edits of
the same photo stop re-sending the bytes. Editing the file invalidates the cached upload.
POST /upload — raw bytes, no base64 at all (hosted connector)
The hosted connector exposes an HTTP upload endpoint behind the same OAuth token as
/mcp. This is the intended path for an agent with a shell: disk file → curl → file_uri →
tool call, with the image never entering the conversation.
curl -X POST https://connector.gemini.nullnet.app/upload \
-H "Authorization: Bearer $ACCESS_TOKEN" \
-H "Content-Type: image/jpeg" \
--data-binary @photo.jpg
# → {"file_uri":"files/abc123","mime_type":"image/jpeg","expires":"...","...":"..."}Then pass "images_file_uris": ["files/abc123"] to any image tool. The body is streamed
straight to the Files API (nothing is buffered), so Content-Length is required — curl sets it
automatically with --data-binary @file. Accepted content types are image/*, video/* and
audio/*; an optional ?name= or X-Filename header sets the display name.
Quick Start
{
"mcpServers": {
"gemini": {
"command": "npx",
"args": ["-y", "@chrischall/gemini-mcp"],
"env": {
"GEMINI_API_KEY": "your-api-key-here"
}
}
}
}See SKILL.md for full usage documentation.
Maintenance
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