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Deepmiro MCP server

by kakarot-dev·io.github.kakarot-dev/deepmiro·v0.1.2·7 stars
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Simulate hundreds of AI agents to predict how communities react to events and policies

B72/100grade B
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Safety scan
B72/100

full report

Adoption
New

7 stars

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Nobody has reviewed Deepmiro yet.

If you have run it, two minutes of your experience saves the next person an afternoon.

Deepmiro tools (9, 2 write)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • create_simulationwrite action

    Run a full swarm prediction. Builds a knowledge graph, generates agent personas,

  • get_report

    Generate and retrieve the prediction report for a completed simulation.

  • interview_agent

    Chat with a specific simulated agent to understand their perspective,

  • list_simulations

    List past simulation runs with their status and metadata.

  • quick_predict

    Fast, lightweight prediction without running a full simulation.

  • search_simulations

    Search past simulations by topic, project name, or simulation ID.

  • simulation_data

    Access simulation data: agent profiles, configuration, action logs,

  • simulation_status

    Check the progress of a running or completed simulation.

  • upload_documentwrite action

    Upload a document for use in simulations.

Public scan report

scanner v0.1.9 · 2026-09-27 · same rubric, same numbers if you re-run it

no findings
  • Code scan35 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitystatic API keys via environment variables6/15
  • Maintenancelast push 129 days ago8/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 72/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Deepmiro compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
72/100
higher than 38% of 48,255 servers
Tools
9
the typical server has 7
Tools that change things
22%
typical: 0%. Fewer write tools means less an agent can break
GitHub stars
7
more than 86% of 28,688 servers

What its tools let an agent do: 7 read · 2 create

Install Deepmiro in Claude Code, Cursor or VS Code

Runs npx -y deepmiro-mcp on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add deepmiro -- npx -y deepmiro-mcp
Add to Cursor

What the publisher says

From the Deepmiro repository's README, as published. We do not edit it. Read it on GitHub

A swarm intelligence engine that rehearses the future.

Feed it a document. Describe a scenario. Watch hundreds of AI agents with distinct personalities, memories, and social instincts interact — and return with a prediction.

One-click self-host — four services, one API key, ~60 seconds. Full walkthrough ↓

Contents

  • What It Does
  • How It Works
  • Quick Start — get an API key, install in 2 min
  • Self-Host (Docker / Railway)
  • MCP Server — tools available
  • What's Different — vs the original MiroFish
  • Persona Fidelity — the drift problem and how we fix it
  • Monorepo Structure
  • Use Cases
  • Acknowledgments
  • License

What It Does

DeepMiro extracts entities and relationships from any document — a policy draft, a market report, a chapter of a novel — and constructs a parallel digital world. Inside it, hundreds of autonomous agents form opinions, argue on simulated social platforms, shift allegiances, and produce emergent behavior that no single prompt could predict.

You get back a structured prediction report and a living world you can interrogate, agent by agent.

Input: A PDF and a question in plain language.

Output: A detailed prediction report + an interactive simulation you can explore.

How It Works

Document ──► Entity Extraction ──► Agent Generation ──► Dual-Platform Simulation ──► Prediction Report
              (NER + GraphRAG)    (personas, memory,     (Twitter-like + Reddit-like     (ReportAgent with
                                   social networks)       parallel interaction)            deep analysis tools)

Quick Start

1. Get an API key

Sign up at deepmiro.org → Dashboard → API Keys. Your key looks like dm_xxxxxxxxx.

2. Install

Pick the install path for your client. Don't install the .mcpb desktop extension if you're using Claude Code or Claude Cowork — those need the plugin to get the /predict skill, background polling, and live narration.

Claude Desktop → use .mcpb

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Deepmiro: common questions

Is Deepmiro MCP server safe?
Mostly: it is graded B (72/100). Read the Deepmiro safety report
How do I install Deepmiro?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Deepmiro need an API key?
Yes. The registry entry asks for DEEPMIRO_API_KEY.
Is Deepmiro maintained?
The last commit was 167 days ago (2026-05-21). The latest release is v0.1.2.
What can I use instead of Deepmiro?
Servers from other publishers that do the same job: UniFi Access MCP server.
How does Deepmiro compare with other MCP servers?
safety score 72/100 (higher than 38% of 48,255 servers); tools 9 (the typical server has 7); tools that change things 22% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to Deepmiro

Same job from other publishers: the closest match first, then the best rated.

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