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munimind-mcp

mcp-name: com.munimind/munimind-mcp

MCP server for MuniMind — query 2,500+ NYC civic datasets directly from Claude Desktop, Claude Code, or Cursor. More cities shipping soon on the same schema.

What you can do

Once installed, ask Claude natural-language questions that route through MuniMind's API:

  • "List all MuniMind datasets about housing violations."
  • "Show me the schema for NYC's HPD violations dataset."
  • "How many DOB violations were issued in Queens in 2024?" (runs SQL)
  • "What's the ownership history for BBL 1000010010?" (Answers API)
  • "Preview the first 20 rows of the NYC taxi zones dataset."
  • "/analyze_property 1000010010" (curated prompt — chains multiple tools)

Install

pip install munimind-mcp

Or via uv (recommended — MCP clients use uvx):

uvx munimind-mcp

Get an API key

  1. Go to https://munimind.com/developers
  2. Sign up — first 5,000 credits are free, no credit card.
  3. Create an API key in the developer dashboard
  4. Copy the key (starts with mm_live_)

Configure your MCP client

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "munimind": {
      "command": "uvx",
      "args": ["munimind-mcp"],
      "env": {
        "MUNIMIND_API_KEY": "mm_live_..."
      }
    }
  }
}

Restart Claude Desktop.

Claude Code

claude mcp add munimind uvx munimind-mcp -e MUNIMIND_API_KEY=mm_live_...

Cursor

Add to .cursor/mcp.json in your workspace or ~/.cursor/mcp.json globally:

{
  "mcpServers": {
    "munimind": {
      "command": "uvx",
      "args": ["munimind-mcp"],
      "env": { "MUNIMIND_API_KEY": "mm_live_..." }
    }
  }
}

Auto-discovery

Any client that supports the 2026 .well-known/mcp.json spec can auto-discover MuniMind via:

curl https://api.munimind.com/.well-known/mcp.json

What's included (v0.3)

7 tools

Tool Description Credit cost
list_datasets Browse the public catalog (optionally filter by city, keyword) 0
describe_dataset Full metadata + schema for one dataset 0
preview_dataset First 100 rows of a dataset 0
query_dataset Run SQL against DuckLake-backed datasets (supports time-travel + Parquet) dynamic (~1 credit / 10 MB scanned)
property_summary Per-property summary via the Answers API 1
property_intelligence Full property dossier — risk, flood, environmental, ownership 5
owner_portfolio Cross-property analysis for an owner / LLC 10

6 curated prompts

Claude Desktop surfaces these in its slash-menu. Each prompt is a multi-step workflow that chains tools end-to-end.

  • /analyze_property — full diligence on one property
  • /investigate_owner — map a portfolio, detect shell-LLC links
  • /area_development_scan — permits + BSA/LPC/CPC cases + lobbying in an area
  • /meeting_digest — summarize CPC/BSA/LPC/council activity
  • /precedent_search — find similar BSA/LPC/CPC decisions
  • /suggest_sql — turn a plain-English question into a DuckLake SQL query (NL2SQL via your client's LLM — zero server-side inference cost)

4 resources

MCP resources are context your client reads without spending a tool call.

  • munimind://catalog — full dataset catalog
  • munimind://schemas/index — every queryable schema
  • munimind://schemas/{slug} — column-level schema for a dataset
  • munimind://city/{city}/stats — per-city rollup

Environment variables

Name Required Default Notes
MUNIMIND_API_KEY yes — Your API key from the developer dashboard
MUNIMIND_API_BASE_URL no https://api.munimind.com Override for staging / self-hosted

License

MIT

Links

Metadata

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