# klypix-mcp

> Use this tool when you need to manage spatial memory across sessions, enabling AI agents to read, write, search, and store data in .klypix canvas files. It solves problems related to persistent memory and data retention, allowing for seamless continuation of tasks between sessions. The klypix-mcp tool accepts .klypix files as input and outputs modified or searched data, making it ideal for applications requiring long-term spatial memory management.

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

## Description

Enables AI agents to read, write, search, and manage .klypix canvas files for persistent spatial memory across sessions.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/poiwa1li55)
- **Repository:** <https://github.com/dahshanlabs/klypix-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": "dahshanlabs-klypix-mcp"
    }
  }
}
```

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