fusion-mcp
Enables MCP clients to call OpenRouter Fusion, which queries a panel of models in parallel and synthesizes a single answer using a judge model, useful for research and critical decisions.
README
fusion-mcp
A zero-dependency MCP server that exposes OpenRouter Fusion as a tool any agent can call.
Fusion sends your prompt to a panel of models in parallel (with web search), a judge model compares their answers, and you get back one synthesized answer — stronger than any single model. This wraps it so Claude Code (or any MCP client) can reach Fusion directly instead of going through the OpenRouter web UI.
Tool
fusion_ask
| arg | required | description |
|---|---|---|
prompt |
✅ | The question or task for the Fusion panel. |
analysis_models |
1–8 model slugs forming the panel. Omit for Fusion's default preset. | |
judge_model |
Model that synthesizes the panel's answers. Defaults to the first panel model. | |
preset |
Curated preset: general-high or general-budget. |
|
max_tool_calls |
Tool iterations per panel model (1–16, default 8). |
Fusion runs several completions per call (panel + judge), so it costs more than a single model call. Use it where being wrong is costly: research, critique, decisions.
Setup
Requires Node ≥ 18 and an OpenRouter API key.
export OPENROUTER_API_KEY=sk-or-...
Wire into Claude Code
claude mcp add fusion -e OPENROUTER_API_KEY=sk-or-... -- node /Users/yoshikondo/fusion-mcp/server.mjs
Or add to your MCP config manually:
{
"mcpServers": {
"fusion": {
"command": "node",
"args": ["/Users/yoshikondo/fusion-mcp/server.mjs"],
"env": { "OPENROUTER_API_KEY": "sk-or-..." }
}
}
}
Then in a session: "use fusion_ask to research X".
Test
npm test
The test suite spins up a real local HTTP server standing in for OpenRouter and drives a real child-process MCP server over real stdio — nothing internal is mocked.
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.