# spindl

> spindl — cognisn-spindl. Use this tool when you need to build and manage MCP servers with efficient response handling and organized tool management. It solves problems related to server response spooling, tool prefixing, and skills guidance, providing a streamlined framework for development. With spindl, you can input custom tool configurations and output optimized server responses, ideal for use cases involving complex server architecture and hierarchical tool organization.

Canonical page: https://skillsregistry.net/skills/cognisn-spindl  
JSON: https://api.skillsregistry.net/v1/skills/cognisn-spindl

## Description

Python framework for building MCP servers with response spooling, hierarchical tool prefixing, and skills guide tools

## Trust

- **Trust score (0–1):** 0.35
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Cognisn/spindl)

## 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": "cognisn-spindl"
    }
  }
}
```

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