DataGraph
What this MCP does
Provides locality datasets and schemas through a structured urban intelligence knowledge graph, queryable with natural language or Cypher.
Tools
Input schema
{'type': 'object', 'required': ['locality'], 'properties': {'locality': {'type': 'string', 'description': "Locality code (REQUIRED). Use the 'locality' field from list_datasets. Example: 'nova-scotia', 'kc', 'unlonely-nyc'."}}}
Input schema
{'type': 'object', 'properties': {}}
Input schema
{'type': 'object', 'properties': {}}
Input schema
{'type': 'object', 'properties': {'locality': {'type': 'string', 'description': 'Filter by locality code (optional)'}}}
Input schema
{'type': 'object', 'required': ['query'], 'properties': {'limit': {'type': 'number', 'default': 10, 'description': 'Max results for NL queries (default: 10, max: 100)'}, 'query': {'type': 'string', 'description': 'User question or description.'}, 'locality': {'type': 'string', 'description': "Locality code (REQUIRED). Use the 'locality' field from list_datasets."}, 'cypher_query': {'type': 'string', 'description': "RECOMMENDED: Cypher query generated from schema. MUST include WHERE n.dataset = '<dataset_id>' filter. Must be read-only with LIMIT clause (max 1000)."}, 'cypher_params': {'type': 'object', 'description': 'Parameters for Cypher query ($param syntax).'}}}
Recent tool changes
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