# groq-compound-mcp-server

> Use this tool when you need to interact with Groq models, including compound models, to ask questions and execute code in real-time. It solves problems related to model querying and code execution, providing real-time information and insights. The tool accepts questions and code as inputs and returns relevant outputs, making it ideal for use cases that require dynamic model interaction and rapid prototyping.

Canonical page: https://skillsregistry.net/skills/groq-compound-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/groq-compound-mcp-server

## Description

Enables interaction with Groq models, including compound models, through tools for asking questions with real-time information and code execution.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bro6geaci7)
- **Repository:** <https://github.com/groq/compound-mcp-server>

## 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": "groq-compound-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/groq-compound-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/groq-compound-mcp-server/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