Other · Local MCP server
Deepmiro
Simulate hundreds of AI agents to predict how communities react to events and policies.
What the MCP Registry states
The entry as published to the official MCP Registry (read 2026-10-04), latest version.
- Registry name
io.github.kakarot-dev/deepmiro- Version
- 0.1.2
- Status
- Active
- Category
- other
- Transport
- stdio (local process)
- Package
- npm
- Published
- 2026-04-09
- Updated
- 2026-04-09
- Publisher
- kakarot-dev (GitHub)
- Repository
- github.com/kakarot-dev/deepmiro (folder mcp-server)
- Source
- Registry API entry
Packages
| Registry | Package | Version | Transport |
|---|---|---|---|
| npm | deepmiro-mcp | 0.1.2 | stdio |
How to connect Deepmiro
Deepmiro runs locally from a Node.js package published to the npm registry: deepmiro-mcp version 0.1.2. It speaks MCP over stdio, so the client starts it as a program and talks to it through standard input and output. It needs Node.js; clients usually start it with npx — the usual command is npx -y deepmiro-mcp@0.1.2. It reads these environment variables: DEEPMIRO_API_KEY (secret) and MIROFISH_URL; set them in the client's configuration for this server.
In the mcpServers JSON format that many desktop and editor MCP clients read, the entry looks like this (placeholders in angle brackets):
{
"mcpServers": {
"deepmiro": {
"command": "npx",
"args": [
"-y",
"deepmiro-mcp@0.1.2"
],
"env": {
"DEEPMIRO_API_KEY": "<secret>",
"MIROFISH_URL": "<value>"
}
}
}
}Derived from the registry entry, not tested here. What the server does, and on what terms, is set by its publisher; check its repository or website before giving it access to your accounts or files. How to add an MCP server to an assistant · Before you connect
More other servers
| Server | Runs |
|---|---|
| DeepinfraRun DeepInfra inference, list models and read account rate limits. | Remote · HTTP |
| DeepLedger — AI staff accountant for QuickBooksAI staff accountant for QuickBooks: transactions, reports, receivables, payables, month-end close. | Remote · HTTP |
| DeepMap AI -- Earth GroundingVerifiable Earth ground truth for AI agents: water, hazard, ground stability, resource, with proof. | Remote & Local · HTTP, stdio |
| DeepMemMem0-compatible persistent memory for AI agents: write facts once, recall them semantically. | Remote · HTTP |
| DeepnatalNatal charts cross-verified three ways. Refuses to answer rather than guess. | Local · stdio |
| DeepPane Focus SpaceCreate focus spaces and read user-authorized focus history summaries. | Local · stdio |
| DeepPVMapperOpen registry of 1.14M+ rooftop-solar detections across France, queryable by natural language. | Remote · HTTP |
| DeerdawnAI session memory: the brief your AI reads before every session so no session starts cold. | Remote & Local · HTTP, stdio |