# RagLit MCP Server

> Use this tool when you need to enable AI agents to perform semantic search and generate embeddings from documents. It solves problems related to information retrieval and document analysis by providing a PostgREST API interface for ingesting documents and generating embeddings. Ideal for use cases where AI agents require efficient and accurate document search and analysis capabilities.

Canonical page: https://skillsregistry.net/skills/thebrownproject-raglit-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/thebrownproject-raglit-mcp-server

## Description

Enables AI agents to ingest documents, generate embeddings, and perform semantic search via PostgREST APIs.

## 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:** database
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/s4o20dnmza)
- **Repository:** <https://github.com/thebrownproject/raglit-mcp-server>

## 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": "thebrownproject-raglit-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/thebrownproject-raglit-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/thebrownproject-raglit-mcp-server/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