io.github.chrischall/gemini-mcp

Generate and edit images with Google Gemini (Nano Banana / Nano Banana Pro) image models.

What does this entry provide?

io.github.chrischall/gemini-mcp is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 78/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding io.github.chrischall/gemini-mcp to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.

Snapshot facts

Source: Official MCP Registry
Quality: 78/100
Install method: npm
Repo: chrischall/gemini-mcp
Repo updated: Oct 20, 2026

Install command

npx -y @chrischall/gemini-mcp@2.4.2

Install method: npm

Review the upstream source before running this command.

GitHub project

Quality

Repo stars

Repo updated

Oct 20, 2026

How is this score calculated?

Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.

MCP manifest

{
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "isLatest": true,
      "updatedAt": "2026-10-20T22:27:36.93796Z",
      "publishedAt": "2026-10-20T22:27:36.93796Z",
      "statusChangedAt": "2026-10-20T22:27:36.93796Z"
    }
  },
  "server": {
    "name": "io.github.chrischall/gemini-mcp",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "version": "2.4.2",
    "packages": [
      {
        "version": "2.4.2",
        "transport": {
          "type": "stdio"
        },
        "identifier": "@chrischall/gemini-mcp",
        "registryType": "npm",
        "environmentVariables": [
          {
            "name": "GEMINI_API_KEY",
            "format": "string",
            "isSecret": true,
            "description": "Your Google Gemini API key (aistudio.google.com/apikey)"
          },
          {
            "name": "GEMINI_IMAGE_MODEL",
            "format": "string",
            "description": "Override the default image model (default: gemini-nano-banana-2.1)"
          },
          {
            "name": "GEMINI_OUTPUT_DIR",
            "format": "string",
            "description": "Default directory for generated images (default: ~/Downloads/gemini-mcp). When set, a per-call output_dir must be inside it."
          },
          {
            "name": "GEMINI_INPUT_DIR",
            "format": "string",
            "description": "Directory to resolve bare input-image filenames against"
          },
          {
            "name": "GEMINI_UPLOAD_DIR",
            "format": "string",
            "description": "Restrict local-file uploads to the Gemini Files API to these directories (path.delimiter-separated; unset = unrestricted)"
          },
          {
            "name": "GEMINI_REFERENCE_DIR",
            "format": "string",
            "description": "Restrict local reference images (images / image paths sent to Gemini) to these directories (path.delimiter-separated), plus GEMINI_OUTPUT_DIR. Unset: GEMINI_UPLOAD_DIR applies; if that is unset too, unrestricted locally, and $MCP_DATA_DIR/uploads when MCP_DATA_DIR is set (hosted)"
          },
          {
            "name": "GEMINI_TIMEOUT_MS",
            "format": "string",
            "description": "Upstream request timeout in ms (default: 60000, or 120000 for image_size: \"4K\"); each generation tool also takes a per-call timeout_ms"
          },
          {
            "name": "GEMINI_HEARTBEAT_MS",
            "format": "string",
            "description": "Progress-notification cadence in ms while a generation runs (default: 10000; 0 disables) — keeps MCP hosts that reset their timeout on progress from timing out long generations"
          },
          {
            "name": "GEMINI_CHAIN_RETRY_MS",
            "format": "string",
            "description": "How long to wait out interactions-store lag when a chained call 404s (default: 120000; 0 disables retrying)"
          },
          {
            "name": "GEMINI_DEBUG",
            "format": "string",
            "description": "When set, emit heartbeat diagnostics to stderr. Off by default."
          },
          {
            "name": "GEMINI_RATE_CARD",
            "format": "string",
            "description": "Override/extend the shipped USD-per-1M-token rates used by gemini_token_usage's cost estimate, e.g. {\"gemini-3-pro-image\":{\"input\":2,\"text_output\":12,\"image_output\":120}}. Malformed JSON is ignored (a bad card must not fail generations)."
          }
        ]
      }
    ],
    "repository": {
      "url": "https://github.com/chrischall/gemini-mcp",
      "source": "github"
    },
    "description": "Generate and edit images with Google Gemini (Nano Banana / Nano Banana Pro) image models."
  }
}

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