Gemini API Docs — LabStore

Gemini API Docs MCP Server

Provides tools to search and retrieve Google Gemini API documentation.

MCP Info

Attribute	Details
Docker Image	mcp/gemini-api-docs-mcp
Author	kgprs
Repository	https://github.com/kgprs/gemini-api-docs-mcp

Image Building Info

Attribute	Details
Dockerfile	https://github.com/kgprs/gemini-api-docs-mcp/blob/8e8aa1543e1cb5f0bc0b1d5056da48f07a8e6332/Dockerfile
Commit	`8e8aa1543e1cb5f0bc0b1d5056da48f07a8e6332`
Docker Image built by	Docker Inc.
Docker Scout Health Score	Docker Scout Health Score
Verify Signature	`COSIGN_REPOSITORY=mcp/signatures cosign verify mcp/gemini-api-docs-mcp --key https://raw.githubusercontent.com/docker/keyring/refs/heads/main/public/mcp/latest.pub`
Licence	MIT License

Available Tools (3)

Tools provided by this Server	Short Description
`get_capability_page`	Retrieves the full content of a specific documentation page by its exact title.
`get_current_model`	Shortcut tool to explicitly retrieve the canonical 'Gemini Models' documentation page.
`search_documentation`	Performs a standard keyword search on Gemini API documentation.

Tools Details

Tool: `get_capability_page`

Retrieves the full content of a specific documentation page by its exact title. You can call can this tool WITHOUT arguments first to see a master list of all available page titles. Then, call it again with the exact title you need.

Parameters	Type	Description
`capability`	`string`	The EXACT title of the documentation page to retrieve (case-sensitive). If you do not know the exact title, OMIT this argument to receive a master list of all available titles.

Tool: `get_current_model`

Shortcut tool to explicitly retrieve the canonical 'Gemini Models' documentation page. Use this to fast-track finding details about available model variants (Pro, Flash, etc.), their capabilities, versioning, and context window sizes.

Tool: `search_documentation`

Performs a standard keyword search on Gemini API documentation. CRITICAL: This is a naive keyword search, NOT semantic. Long queries will FAIL. You MUST use VERY SHORT keyword based queries (max 1-3 keywords) focusing only on the most unique terms. Break complex questions into separate, simple queries. It will return the full documentation page for a capability or feature.

Parameters	Type	Description
`queries`	`array`	List of up to 3 SHORT keyword queries. Keep each query under 3 words.
BAD: 'google genai python generate image save bytes' (too specific, will fail).
GOOD: ['function calling', 'imagen parameters', 'save bytes'] (broad, likely to hit).

Use this MCP Server

{
  "mcpServers": {
    "gemini-api-docs": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "mcp/gemini-api-docs-mcp"
      ]
    }
  }
}

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