Deepmiro
Run multi-agent community simulations to stress-test messaging, policy changes, or launch narratives before you commit build scope.
Overview
io.github.kakarot-dev/deepmiro is a MCP server for the Validate phase that runs large-scale AI agent simulations to predict community reactions to events and policies.
What is this MCP server?
- Simulates hundreds of AI agents to model community reactions to events and policies
- stdio npm package deepmiro-mcp (v0.1.2) with DEEPMIRO_API_KEY
- Optional MIROFISH_URL override for self-hosted engine (default https://api.deepmiro.org)
- Free API key available at deepmiro.org for early experiments
- Server version 0.1.2
- npm package: deepmiro-mcp
- Default API host: https://api.deepmiro.org
Community signal: 7 GitHub stars.
What problem does it solve?
You cannot afford wide user tests yet but need a read on how people might react to a launch story, rule change, or positioning pivot.
Who is it for?
Indie founders and policy-adjacent builders exploring controversial or community-sensitive launches who want agent-driven what-if runs.
Skip if: Builders who need deterministic analytics on real users, or teams without appetite for simulated (non-production) data.
What do I get? / Deliverables
You get simulation-backed reaction scenarios that sharpen scope, messaging, and risk mitigation before you build or distribute.
- Simulated community reaction summaries for competing narratives
- Scope and messaging adjustments before build
- Documented scenarios for stakeholder or cofounder review
Recommended MCP Servers
Journey fit
Reaction forecasting informs whether an idea is worth building and how to frame it—canonical placement is Validate before full implementation. Hundreds of simulated agents help you narrow positioning and risk, which is scope and viability work—not shipping code.
How it compares
Multi-agent simulation MCP for narrative testing, not a production analytics or A/B testing integration.
Common Questions / FAQ
Who is io.github.kakarot-dev/deepmiro for?
Solo builders and product thinkers who use MCP agents to simulate community response before locking scope or go-to-market copy.
When should I use io.github.kakarot-dev/deepmiro?
Use it during Validate when comparing positioning, policy drafts, or launch scenarios—and lightly in Idea when exploring market narratives.
How do I add io.github.kakarot-dev/deepmiro to my agent?
Install deepmiro-mcp from npm, configure stdio MCP with DEEPMIRO_API_KEY (from deepmiro.org), optionally set MIROFISH_URL, then register in Claude Code, Cursor, or Codex.