# mcp-loom

> mcp-loom — buttonmonkey-mcp-loom. Use this tool when you need to efficiently analyze large tabular data from multiple servers, as it intercepts and ingests results into a database, providing compact query capabilities. It solves problems of data overload and cross-server analysis by offering a scalable and queryable solution. Ideal for use cases involving big data analysis, it takes in large tool results and outputs a compact envelope with schema and query capabilities.

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

## Description

An MCP proxy server that intercepts large tabular tool results, ingests them into an embedded DuckDB, and provides a compact envelope with schema and query capabilities, enabling efficient cross-server data analysis.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h8vavxkuxj)
- **Repository:** <https://github.com/buttonmonkey/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": "buttonmonkey-mcp-loom"
    }
  }
}
```

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