# insight-blueprint

> insight-blueprint — etoyama-insight-blueprint. Use this tool when you need to manage complex data analysis workflows and collaborate on hypothesis-driven research. The insight-blueprint MCP server enables you to organize analysis designs, data catalogs, and review workflows, streamlining your research process. It integrates with git for version control, making it ideal for teams working on data-intensive projects.

Canonical page: https://skillsregistry.net/skills/etoyama-insight-blueprint  
JSON: https://api.skillsregistry.net/v1/skills/etoyama-insight-blueprint

## Description

MCP server for hypothesis-driven data analysis — manage analysis designs, data catalogs, and review workflows

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/etoyama/insight-blueprint)

## 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": "etoyama-insight-blueprint"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/etoyama-insight-blueprint` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/etoyama-insight-blueprint/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