mcp-google-agent-platform-docs
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| MCP_DOCS_CACHE_DIR | No | Cache directory | ~/.cache/mcp-google-agent-platform-docs |
| MCP_DOCS_CONTENT_TTL | No | Page cache TTL (hours) | 72 |
| MCP_DOCS_HTTP_TIMEOUT | No | HTTP timeout (seconds) | 30 |
| MCP_DOCS_STRUCTURE_TTL | No | Structure cache TTL (days) | 7 |
| MCP_DOCS_DEFAULT_SOURCE | No | Default documentation source | geap |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| search_docsA | Search Google AI platform documentation. Args: query: Search terms (e.g. "function calling", "Memory Bank setup", "Agent Development Kit", "Gemini 3.1 Pro") max_results: Number of results to return (default: 5, max: 20) source: Documentation source: - "geap" (default) — Gemini Enterprise Agent Platform (current) - "vertex-ai" — Vertex AI Generative AI (legacy) Returns: Matching documentation pages with titles, paths, and excerpts. Use get_doc(path) to read the full content of any result. |
| get_docA | Get full content of a specific documentation page. Args: path: Documentation page path, e.g.: GEAP paths: - "models/gemini/3-1-pro" - "build/runtime/quickstart" - "scale/memory-bank/setup" - "govern/policies/overview" - "optimize/evaluation/agent-evaluation" - "agent-studio/overview" Vertex AI paths: - "multimodal/function-calling" - "rag-engine/rag-overview" - "models/gemini/2-5-flash" source: "geap" (default) or "vertex-ai" Returns: Complete page content in Markdown format. If not cached, fetches live from the documentation site. |
| list_sectionsB | List all documentation sections and their page counts. Args: source: "geap" (default) or "vertex-ai" Returns: Structured overview of all available documentation sections with descriptions and page counts. |
| list_modelsA | List all available AI models on Google's platform. Returns a quick reference of all models organized by family: Google (Gemini, Imagen, Veo, Lyria), Partners (Claude, Grok, Mistral, Llama), and Open Models (DeepSeek, Qwen, Kimi, etc.). |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/OpenGerwin/mcp-google-agent-platform-docs'
If you have feedback or need assistance with the MCP directory API, please join our Discord server