# rag-mcp

> rag-mcp — nextlevelmanagementadvisors-rag-mcp. Use this tool when you need to efficiently search and retrieve relevant information from large text documents to provide grounded answers. It solves problems of information overload and inaccurate search results by utilizing PostgreSQL, pgvector, and OpenAI-compatible embeddings for semantic search. The tool takes in text documents as input and outputs relevant chunks of information, making it ideal for use cases where accurate and context-specific answers are required.

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

## Description

Enables ingestion and semantic search over text documents using PostgreSQL + pgvector and OpenAI-compatible embeddings, allowing any LLM agent to retrieve relevant chunks for grounded answers.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/j233ebds7d)
- **Repository:** <https://github.com/NextLevelManagementAdvisors/rag-mcp>

## 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": "nextlevelmanagementadvisors-rag-mcp"
    }
  }
}
```

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