# cks-mcp

> cks-mcp — punctumactus-cks-mcp. Use this tool when you need to bridge the gap between large language models (LLMs) and verifiable knowledge, enabling seamless interaction with MCP tools, autonomous agents, and CRDT replication. It provides a visual studio interface and integrates with git for version control. Ideal for applications requiring reliable and trustworthy data exchange between AI systems and knowledge sources.

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

## Description

The operational interface between LLMs and verifiable knowledge — MCP tools, autonomous agents, CRDT replication, and a visual studio.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/PunctumActus/cks-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": "punctumactus-cks-mcp"
    }
  }
}
```

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