# ragmap

> Use this tool when you need to quickly discover and route to the most suitable retrieval server for a task, considering constraints such as citations, freshness, and latency. MapRag indexes and enriches RAG-capable servers with structured metadata, enabling efficient selection of the best server for retrieval tasks. It simplifies the process of finding the right retrieval server, saving time and improving overall performance.

Canonical page: https://skillsregistry.net/skills/khalidsaidi-ragmap  
JSON: https://api.skillsregistry.net/v1/skills/khalidsaidi-ragmap

## Description

MapRag is a discovery + routing layer for retrieval. It indexes RAG-capable MCP servers, enriches them with structured metadata, and helps agents (and humans) quickly find the right retrieval server for a task under constraints like citations, freshness, privacy, domain, and latency.

MapRag does not do RAG itself. It helps you choose the best RAG tool/server to do the retrieval.

## Trust

- **Trust score (0–1):** 0.81
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mq9ehyfqen)
- **Repository:** <https://github.com/khalidsaidi/ragmap>

## 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": "khalidsaidi-ragmap"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/khalidsaidi-ragmap` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/khalidsaidi-ragmap/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