# MCPServer

> Use this tool when you need to integrate Claude AI with local Python code, enabling seamless model completion capabilities. The MCPServer setup guide solves problems related to running AI models locally, providing a step-by-step interface for setting up a Model Completion Protocol server in Windows Subsystem for Linux. It takes Linux setup inputs and outputs a functional MCP server, ideal for use cases requiring local AI model deployment and integration with Python applications.

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

## Description

A setup guide for running a Model Completion Protocol (MCP) server in Windows Subsystem for Linux, enabling Claude AI integration with local Python code.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ol8y2oq5bp)
- **Repository:** <https://github.com/ldilba/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": "ldilba-mcp"
    }
  }
}
```

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