# loom-mcp

> Use this tool when you need to manage and interact with Loom videos, transcripts, and related data. It provides a comprehensive interface to list, search, and manage various Loom assets, including comments and tasks, through a GraphQL API. Ideal for automating tasks, integrating with internal systems, or building custom applications that leverage Loom's functionality.

Canonical page: https://skillsregistry.net/skills/karbassi-mcp-loom  
JSON: https://api.skillsregistry.net/v1/skills/karbassi-mcp-loom

## Description

MCP server that exposes 59 tools for Loom's internal GraphQL API, enabling listing, searching, and managing Loom videos, transcripts, comments, tasks, and more.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wkdtc57jih)
- **Repository:** <https://github.com/karbassi/mcp-loom>

## 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": "karbassi-mcp-loom"
    }
  }
}
```

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