# dd-arch

> Use this tool when you need to create, manage, and execute custom Python code tools through a web-based interface, solving problems related to dynamic tool integration and automation. It takes in Python code and outputs executable tools, exposing them as MCP tools via Streamable HTTP. Ideal for use cases requiring flexible and scalable tool management, such as data processing and workflow automation.

Canonical page: https://skillsregistry.net/skills/ollo-kitty-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ollo-kitty-mcp

## Description

A dynamic tool management platform that allows creating, editing, and executing Python code tools via a web UI, exposing them as MCP tools through Streamable HTTP.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ou5sfbf36c)
- **Repository:** <https://github.com/ollo-kitty/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": "ollo-kitty-mcp"
    }
  }
}
```

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