# RepoAI-MCP

> RepoAI-MCP — dheeraj2309-repoai-mcp. Use this tool when you need to provide context for large databases in Python projects through semantic and precise vector embeddings. It solves problems related to data understanding and retrieval by generating meaningful vector embeddings, enabling efficient data analysis and querying. Ideal for use cases involving massive datasets, RepoAI-MCP takes in large database inputs and outputs semantic vector embeddings via a git interface.

Canonical page: https://skillsregistry.net/skills/dheeraj2309-repoai-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dheeraj2309-repoai-mcp

## Description

MCP server for the Python Projects to provide context for large databases via semantic precise meaningful vector embeddings

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/dheeraj2309/RepoAI-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": "dheeraj2309-repoai-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dheeraj2309-repoai-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dheeraj2309-repoai-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