# gemini-file-search-rag-mcp

> Use this tool when you need to manage and query large file search stores with advanced retrieval capabilities. It solves problems related to document management, information retrieval, and knowledge discovery by providing a robust interface for uploading documents and querying with Retrieval-Augmented Generation (RAG) through 12 integrated tools. Ideal for use cases requiring efficient file search, document organization, and AI-powered query capabilities.

Canonical page: https://skillsregistry.net/skills/node2flow-th-gemini-files-search-rag-mcp-community  
JSON: https://api.skillsregistry.net/v1/skills/node2flow-th-gemini-files-search-rag-mcp-community

## Description

MCP server for Google's Gemini File Search (RAG). Manage file search stores, upload documents, and query with RAG through 12 tools.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/oa0o9ib001)
- **Repository:** <https://github.com/node2flow-th/gemini-files-search-rag-mcp-community>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "node2flow-th-gemini-files-search-rag-mcp-community"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/node2flow-th-gemini-files-search-rag-mcp-community` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/node2flow-th-gemini-files-search-rag-mcp-community/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt