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Connect AI clients to local MiroFish for document-based simulations and prediction reports.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mirofish-mcp-server" yet — see the docs or source repo.
Connect to the local MiroFish instance, read this product strategy document, run a multi-agent simulation based on it, and output key disagreements, risks, and a conclusion summary.
A document-grounded multi-agent simulation result with major viewpoints, risks, and a summary.
Use the local MiroFish instance to analyze this research material in a document-driven way and generate a prediction report summarizing likely outcomes and supporting rationale.
A prediction report describing likely outcomes and their document-based rationale.
Use mirofish-mcp-server to connect to the local MiroFish instance, read the provided documents, and return simulation analysis results for follow-up decision discussions.
The AI client receives document analysis and simulation results from the local MiroFish instance.
Researchers or analysts can pass source materials to an AI client, which uses this MCP tool to connect to a local MiroFish instance for document-based simulations and prediction reports. This helps turn document content into structured judgment outputs.
Product managers can run multi-agent simulations around a plan document to examine disagreements, risks, and likely conclusions from different role perspectives. It is useful for document-driven analysis before formal decisions are made.
It is an MCP server that connects AI clients to a local MiroFish instance. Its stated uses include document-driven multi-agent simulations and prediction report generation.
Based on the description, you need an accessible local MiroFish instance. Other installation, runtime, or key requirements are not specified in the provided material; see the source repository.
It does more than handle documents; it specifically connects AI clients to local MiroFish for multi-agent simulations and prediction report generation. In other words, it focuses on document-driven AI analysis rather than simple document editing.
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