# PCL MCP Server

> Use this tool when you need to access and utilize persistent product context for AI coding tasks, eliminating redundant explanations and enhancing agent productivity. It solves problems of knowledge retention and contextual understanding, providing structured data on personas, journeys, specs, decisions, and domain rules. The PCL MCP Server takes in AI coding requests and outputs relevant, on-demand product context, ideal for use cases requiring consistent and accurate product knowledge.

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

## Description

Enables AI coding agents to access persistent, structured product context (personas, journeys, specs, decisions, domain rules) on demand, eliminating the need to re-explain product knowledge each session.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **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/n111u83abz)
- **Repository:** <https://github.com/MichaelGorski/pcl-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": "michaelgorski-pcl-mcp"
    }
  }
}
```

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