# Multi-Agent RAG MCP Server

> Use this tool when you need to automate document classification, extract deadlines from Spanish legal texts, and gain strategic business intelligence. It solves problems related to manual document review, deadline tracking, and information retrieval, providing outputs such as classified documents, extracted deadlines, and business insights through its integration with Claude via MCP and Supabase vector database. Ideal for legal-tech applications, it streamlines workflows and enhances search functionality.

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

## Description

A legal-tech focused system that coordinates specialized agents for document classification, deadline extraction from Spanish legal texts, and strategic business intelligence. It integrates with Claude via MCP to provide semantic document search and automated deadline tracking using a Supabase vector database.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pjqfehhvsi)
- **Repository:** <https://github.com/Tsarri/rag-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": "tsarri-rag-mcp-server"
    }
  }
}
```

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