HydraMCP

Connect agents to agents.

An MCP server that lets Claude Code query any LLM — compare, vote, and synthesize across GPT, Gemini, Claude, and local models from one terminal.

Quick Start

npx hydramcp setup

That's it. The wizard walks you through everything — API keys, subscriptions, local models. At the end it gives you the one-liner to add to Claude Code.

Or if you already have API keys:

claude mcp add hydramcp -e OPENAI_API_KEY=sk-... -- npx hydramcp

What It Looks Like

Four models, four ecosystems, one prompt. Real output from a live session:

> compare gpt-5-codex, gemini-3, claude-sonnet, and local qwen on this function review

## Model Comparison (4 models, 11637ms total)

| Model                      | Latency         | Tokens |
|----------------------------|-----------------|--------|
| gpt-5-codex                | 1630ms fastest  | 194    |
| gemini-3-pro-preview       | 11636ms         | 1235   |
| claude-sonnet-4-5-20250929 | 3010ms          | 202    |
| ollama/qwen2.5-coder:14b   | 8407ms          | 187    |

All four independently found the same async bug. Then each one caught something different the others missed.

And this is consensus with a local judge:

> get consensus from gpt-5, gemini-3, and claude-sonnet. use local qwen as judge.

## Consensus: REACHED

Strategy: majority (needed 2/3)
Agreement: 3/3 models (100%)
Judge: ollama/qwen2.5-coder:14b (686ms)

Three cloud models polled, local model judging them. 686ms to evaluate agreement.

Tools

Tool	What It Does
list_models	See what's available across all providers
ask_model	Query any model, optional response distillation
compare_models	Same prompt to 2-5 models in parallel
consensus	Poll 3-7 models, LLM-as-judge evaluates agreement
synthesize