# tldraw MCP

> Use this tool when you need to manage and interact with local visual data, such as diagrams and notes, to solve problems related to information organization and retrieval. It provides a persistent visual scratchpad, enabling AI agents to read, write, and search local tldraw files with full CRUD operations on canvas shapes. Ideal for use cases requiring metadata management and local canvas file manipulation.

Canonical page: https://skillsregistry.net/skills/talhaorak-tldraw-mcp  
JSON: https://api.skillsregistry.net/v1/skills/talhaorak-tldraw-mcp

## Description

Enables AI agents to read, write, and search local tldraw (.tldr) files, providing a persistent visual scratchpad for diagramming and note organization. It supports full CRUD operations on canvas shapes and metadata management for local canvas files.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h2jvvtofiq)
- **Repository:** <https://github.com/talhaorak/tldraw-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": "talhaorak-tldraw-mcp"
    }
  }
}
```

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