# Model Control Plane (MCP) Server

> Use this tool when you need to unify and manage access to AI services, Git repositories, and local filesystems through a single interface. The Model Control Plane (MCP) Server solves integration and management problems by providing a unified REST API for various operations, accepting inputs such as API requests and repository URLs, and outputting data and analysis results. It is ideal for use cases that require streamlined interactions with OpenAI services, Git repositories, and local filesystems.

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

## Description

A server implementation that provides a unified interface for OpenAI services, Git repository analysis, and local filesystem operations through REST API endpoints.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/omow6idbzl)
- **Repository:** <https://github.com/dvladimirov/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": "dvladimirov-mcp"
    }
  }
}
```

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