# Minima (Local RAG)

> Use this tool when you need to enhance AI assistant capabilities with local file access, enabling retrieval-augmented generation for personalized responses. It solves problems involving confidential documents, personal notes, or frequently updated local resources by granting access to private or offline information sources. The Minima server takes local file directories as input and outputs relevant context for AI assistant queries, making it ideal for use cases requiring secure and private data access.

Canonical page: https://skillsregistry.net/skills/dmayboroda-minima  
JSON: https://api.skillsregistry.net/v1/skills/dmayboroda-minima

## Description

This MCP server, developed by dmayboroda, enables AI assistants like Claude to perform RAG (Retrieval-Augmented Generation) on local files. Built in Python and leveraging the uv package manager, it integrates seamlessly with MCP clients through a simple configuration file. The server allows the client to search and retrieve context from the user's local documents, enhancing its ability to provide relevant and personalized responses. By granting access to private or offline information sources, this implementation extends the client's knowledge base beyond its training data, making it particularly useful for tasks involving confidential documents, personal notes, or frequently updated local resources.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-26

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/dmayboroda-minima)
- **Repository:** <https://github.com/dmayboroda/minima/tree/HEAD/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": "dmayboroda-minima"
    }
  }
}
```

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

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