mcpbeat

DataGraph MCP Server

io.github.team-earth/datagraph
answering

DataGraph is answering right now. Last checked 2 min ago. 44 installs a week from npm. It exposes 5 tools.

Urban intelligence knowledge graph. Structured locality data for civic problem-solving.

Installs per day peak 140 · avg 14 · -42% w/w
a month agotoday
Uptime history 42 hours of history
42 hours agonow
100.0%
Uptime 24h
92 of 92 checks
5
Tools
read from the server
320 ms
Response time
average over 24h
44
Installs / week
npm and PyPI

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 2 min ago.

run in your terminal
claude mcp add datagraph --transport http https://api.datagraph.city/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "datagraph": {
      "url": "https://api.datagraph.city/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.datagraph]
url = "https://api.datagraph.city/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "datagraph": {
      "url": "https://api.datagraph.city/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "datagraph": {
      "url": "https://api.datagraph.city/mcp"
    }
  }
}

Available tools 5

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

locality
get_locality_schema
Get the graph schema for a locality (node types, relationships, sample queries). Call list_datasets first to get locality codes.
query_locality_data
Query data using natural language or Cypher. Requires auth.
datasets
list_datasets
List available datasets. Optionally filter by locality code.
server
get_server_info
Get DataGraph MCP server metadata and GOSR framework info.
usage
get_usage_stats
Check your API usage and quota. Requires auth.

Endpoints

URLTransportStateLatencyChecked
https://api.datagraph.city/mcp streamable-http answering 330 ms 2 min ago

DataGraph — questions

Answers built from our own checks of this server.

What can DataGraph do?
It exposes 5 tools, read directly from the server on our last check. Among them: get_locality_schema, get_server_info, get_usage_stats, list_datasets, query_locality_data. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is DataGraph working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 320 ms. The bar chart above shows every period we have measured.
How do I connect DataGraph?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does DataGraph need an API key?
No. DataGraph completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 5 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is DataGraph?
It answers our handshake in 320 ms on average, which is faster than 44% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
How many people use DataGraph?
The npm package datagraph-city-mcp-server was installed 44 times in the last week. Week over week that is -42%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.