Simulate hundreds of AI agents to predict how communities react to events and policies
Simulate hundreds of AI agents to predict how communities react to events and policies. Exposed over MCP by the deepmiro mcp server, that capability becomes something an assistant can invoke while it works, not something you go and do afterwards.
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.
Everything the assistant can do here goes through one of these:
Security — MCP ships with no auth by default — set MCP_API_KEY in .env before exposing it to the internet. The backend REST API is internal-only out of the boxBenchmarks — 15-agent quick simulation, enriched prompt, measured end-to-end:You will need 4 environment variables: DEEPMIRO_API_KEY, LLM_API_KEY, LLM_BASE_URL, MCP_API_KEY. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
Being a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.
Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Deepmiro's toolset — Security, Benchmarks — is a fair guide to whether it matches your workflow. It is maintained by kakarot-dev; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Deepmiro's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| Security | MCP ships with no auth by default — set MCP_API_KEY in .env before exposing it to the internet. The backend REST API is internal-only out of the box. |
| Benchmarks | 15-agent quick simulation, enriched prompt, measured end-to-end: |
For Railway or any public deployment:
```json
{
"mcpServers": {
"deepmiro": { "url": "https://your-app.up.railway.app/mcp" }
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| DEEPMIRO_API_KEY | Credential the server authenticates with. | Yes |
| LLM_API_KEY | Credential the server authenticates with. | Yes |
| LLM_BASE_URL | Endpoint or connection string the server talks to. | Yes |
| MCP_API_KEY | Credential the server authenticates with. | Yes |
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Microsoft's official browser automation server — drive a real browser through the accessibility tree, no screenshots needed.
GitHub's official server — repos, issues, pull requests, Actions and code security, straight from your assistant.
Issue tracking at the speed of conversation — Linear's official hosted server with OAuth and zero install.
Local repository surgery — status, diffs, commits, branches and history for any repo on disk.
Timezone sanity for AI — current time anywhere and correct conversions, without the model doing date math.