# mcp-rag-bridge

> mcp-rag-bridge — zyay-mcp-rag-bridge. Use this tool when you need to efficiently search and manage a large document knowledge base, and require accurate answers with reliable citations. It solves problems of information retrieval and knowledge management by providing a powerful search functionality with RAG-powered results. The tool accepts queries as input and returns relevant answers with citations as output, ideal for use cases where verified information is crucial.

Canonical page: https://skillsregistry.net/skills/zyay-mcp-rag-bridge  
JSON: https://api.skillsregistry.net/v1/skills/zyay-mcp-rag-bridge

## Description

Enables AI agents to query and manage a document knowledge base via MCP, with RAG-powered search and grounded answers with citations.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nqt3zeudcv)
- **Repository:** <https://github.com/zyay/mcp-rag-bridge>

## 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": "zyay-mcp-rag-bridge"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zyay-mcp-rag-bridge` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zyay-mcp-rag-bridge/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