# MCP Server

> Use this tool when you need to quickly generate OpenAI responses or manage records via MCP-style endpoints. It solves problems related to data retrieval and AI-powered response generation, providing a simple interface for listing, fetching, and generating records. Ideal for use cases requiring fast and lightweight data management and AI integration, with inputs including record queries and outputs including generated OpenAI responses.

Canonical page: https://skillsregistry.net/skills/mehran-shabani-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/mehran-shabani-mcp-server

## Description

A minimal Django project exposing MCP-style endpoints for listing and fetching records, and generating OpenAI responses via the Responses API using an in-memory store.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/au98u7jtub)
- **Repository:** <https://github.com/mehran-shabani/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": "mehran-shabani-mcp-server"
    }
  }
}
```

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