# pilot-mcp

> pilot-mcp — anant-pw-pilot-mcp. Use this tool when you need to quickly learn and implement the Model Context Protocol (MCP) with a minimal server setup, solving problems of rapid prototyping and development with minimal dependencies. It provides a simple interface with standard input/output and supports local and production environments, including integration with Claude Desktop and Cline. Ideal for developers and researchers looking to test and deploy MCP-based models efficiently.

Canonical page: https://skillsregistry.net/skills/anant-pw-pilot-mcp  
JSON: https://api.skillsregistry.net/v1/skills/anant-pw-pilot-mcp

## Description

Minimal MCP server to learn Model Context Protocol in 10 minutes. 3 tools, one Python file, no paid APIs. Runs locally (stdio) and in production (SSE + Railway). Plug into Claude Desktop or Cline instantly.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** file-system
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/anant-pw/pilot-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": "anant-pw-pilot-mcp"
    }
  }
}
```

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