# AgentCanvas

> AgentCanvas — jackspooner-agentcanvas. Use this tool when you need to create and manage visual workspaces and canvases collaboratively with humans and AI agents. AgentCanvas solves problems of data persistence and synchronization, providing a polished editor and extensions for efficient workflow management. It accepts various inputs and outputs through its interface, making it ideal for use cases requiring local-first, flexible, and extensible visual collaboration and data management.

Canonical page: https://skillsregistry.net/skills/jackspooner-agentcanvas  
JSON: https://api.skillsregistry.net/v1/skills/jackspooner-agentcanvas

## Description

Local-first visual workspace and MCP server for canvases built by people and agents, with a polished editor, extensions, and SQLite persistence.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/b8cgcm3w6e)
- **Repository:** <https://github.com/jackspooner/agentcanvas>

## 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": "jackspooner-agentcanvas"
    }
  }
}
```

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