# LPC MCP Server

> Use this tool when you need to integrate AI assistants with LPC codebases for enhanced understanding and querying capabilities. It solves problems related to code comprehension, debugging, and navigation by providing features like hover info, definitions, references, and diagnostics through a language server interface. This tool is ideal for use cases where natural language interaction with LPC code is required, enabling more efficient and intuitive code analysis and development.

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

## Description

Enables AI assistants to understand and query LPC codebases through natural language, using a language server for hover info, definitions, references, and diagnostics.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zpxrfez6nd)
- **Repository:** <https://github.com/gesslar/lpc-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": "gesslar-lpc-mcp"
    }
  }
}
```

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