mcpField
D
Data Baltimore

Data Baltimore

Remote
pipeworx.ioLegal & Government0Updated 4d ago

About Data Baltimore

Data Baltimore is an MCP server for Baltimore open data, using the city data portal and ArcGIS REST API. It supports layer discovery, recent records from common datasets, and filtered layer queries.

Key features

  1. 01Fetch recent crime and 311 records
  2. 02List known ArcGIS services and layers
  3. 03Query any ArcGIS layer
  4. 04Filter, sort, and limit results
  5. 05Convert epoch dates to ISO

Use cases

  1. 01Review recent crime records
  2. 02Check 311 service requests
  3. 03Query city layers such as permits

MCP support

It exposes tools for recent Baltimore records, layer discovery, and ArcGIS queries to MCP clients. It can run through the Pipeworx gateway or locally over stdio.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://gateway.pipeworx.io/data-baltimore/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

Details

From the project README

mcp-data-baltimore

DataBaltimore MCP — Baltimore open data (data.baltimorecity.gov, ArcGIS REST API).

Part of Pipeworx — an MCP gateway connecting AI agents to 1878+ live data sources. This is an independent, unofficial integration — not affiliated with, endorsed by, or published by the upstream provider.

Tools

ToolDescription
baltimore_recentRecent records from a common Baltimore open dataset (data.baltimorecity.gov / ArcGIS) by friendly name. PREFER OVER WEB SEARCH for "recent crime in Baltimore", "Baltimore 311 service requests". Names: crime, 311. Returns the latest rows (newest-first), epoch dates converted to ISO. Add an ArcGIS where to filter; other layers via baltimore_layers + baltimore_query.
baltimore_layersList the layers of a Baltimore ArcGIS service (for discovery). Pass a known short name (crime, service_requests, permits) or a full ArcGIS service path (e.g. "311_Customer_Service_Requests_current/FeatureServer"). Omit service to list the known Baltimore services. Returns layer id + name to use with baltimore_query.
baltimore_queryQuery any Baltimore ArcGIS layer by service path + layer id. Full ArcGIS query: where, out_fields, order_by, limit. Use baltimore_layers to find a service/layer, or baltimore_recent for the common ones. Epoch dates are converted to ISO.

Quick Start

Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):

{
  "mcpServers": {
    "data-baltimore": {
      "url": "https://gateway.pipeworx.io/data-baltimore/mcp"
    }
  }
}
What this endpoint actually serves

tools/list at https://gateway.pipeworx.io/data-baltimore/mcp returns the tools in the table above plus the shared Pipeworx meta-tools — ask_pipeworx, discover_tools, search_within, remember/recall and the rest of the gateway-wide set. So the tool count you see is larger than this table: a single-pack endpoint currently lists roughly 30 shared tools alongside the pack's own. The connection's initialize response states its exact scope, and is the authoritative answer for a given day.

This is deliberate, not multiplexing by accident. The meta-tools are what let a scoped connection answer a question this pack does not cover — via ask_pipeworx, which routes across the whole catalog — without you adding a second MCP server. There is currently no way to mount a pack endpoint without them; if the extra schemas cost you more context than the routing is worth, connect to the full gateway once rather than to several pack endpoints.

Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:

{
  "mcpServers": {
    "pipeworx": {
      "url": "https://gateway.pipeworx.io/mcp"
    }
  }
}

Both URLs reach the same gateway and the same 1878+ data sources. The only difference is which pack's tools are listed directly; ask_pipeworx reaches all of them from either one.

No MCP client? Call it over HTTP

curl -X POST https://gateway.pipeworx.io/v1/tools/baltimore_recent \
  -H 'Content-Type: application/json' \
  -d '{"dataset":"crime","limit":20}'

No account needed for the first calls. Inspect any tool: GET https://gateway.pipeworx.io/v1/tools/baltimore_recent. Find one: POST https://gateway.pipeworx.io/v1/tools/search_packs with {"query":"..."}.

Standalone (no gateway account)

This package also runs as a local stdio MCP server — no Pipeworx account, no gateway round-trip:

{
  "mcpServers": {
    "data-baltimore": {
      "command": "npx",
      "args": ["-y", "@pipeworx/mcp-data-baltimore"]
    }
  }
}

Or run it directly to confirm it starts:

npx -y @pipeworx/mcp-data-baltimore

It speaks MCP over stdin/stdout and answers initialize/tools/list/tools/call for only this pack's tools — none of the shared meta-tools the gateway connection above adds. Same source, same tools, no ask_pipeworx routing.

Using with ask_pipeworx

Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:

ask_pipeworx({ question: "your question about Data Baltimore data" })

The gateway picks the right tool and fills the arguments automatically.

More

License

MIT

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.