# woollama

> Use this tool when you need to integrate multiple AI backends and tools into a single workflow, enabling seamless composition of models and recipes. It solves problems of compatibility and scalability by routing AI clients to various backends, such as Ollama and Anthropic. With woollama, you can input multiple AI models and tools, and output a unified and orchestrated workflow.

Canonical page: https://skillsregistry.net/skills/teaguesterling-woollama  
JSON: https://api.skillsregistry.net/v1/skills/teaguesterling-woollama

## Description

woollama is an MCP and OpenAI-compatible router that orchestrates AI clients with multiple backends (like Ollama, Anthropic) and MCP tools, enabling seamless composition of models, tools, and recipes.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-07-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/arn0fh7es8)
- **Repository:** <https://github.com/teaguesterling/woollama>

## 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": "teaguesterling-woollama"
    }
  }
}
```

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