AgentNative: Public Data, Government Datasets, Federal Statistics & Official Records
Was dieses MCP kann
Discovers and queries normalized official government datasets, provides samples, aggregations, provenance and Federal Register records, and can queue dataset materialization.
Tools
Eingabeschema
{'type': 'object', 'required': ['dataset_id', 'group_by'], 'properties': {'top': {'type': 'integer', 'maximum': 50, 'minimum': 1}, 'field': {'type': 'string'}, 'metric': {'enum': ['count', 'sum', 'avg', 'min', 'max']}, 'group_by': {'type': 'string'}, 'dataset_id': {'type': 'string'}}, 'additionalProperties': False}
Eingabeschema
{'type': 'object', 'properties': {}, 'additionalProperties': False}
Eingabeschema
{'type': 'object', 'required': ['materialization_id'], 'properties': {'materialization_id': {'type': 'string', 'pattern': '^job_[a-f0-9]{24}$'}}, 'additionalProperties': False}
Eingabeschema
{'type': 'object', 'properties': {}, 'additionalProperties': False}
Eingabeschema
{'type': 'object', 'properties': {}, 'additionalProperties': False}
Eingabeschema
{'type': 'object', 'required': ['dataset_id'], 'properties': {'top': {'type': 'integer', 'maximum': 100, 'minimum': 1}, 'skip': {'type': 'integer', 'maximum': 5000, 'minimum': 0}, 'dataset_id': {'type': 'string'}, 'filter_field': {'type': 'string'}, 'filter_value': {'type': 'string'}}, 'additionalProperties': False}
Eingabeschema
{'type': 'object', 'properties': {'top': {'type': 'integer', 'maximum': 100, 'minimum': 1}, 'type': {'enum': ['NOTICE', 'PRORULE', 'RULE', 'PRESDOCU'], 'type': 'string'}, 'end_date': {'type': 'string', 'pattern': '^\\d{4}-\\d{2}-\\d{2}$'}, 'start_date': {'type': 'string', 'pattern': '^\\d{4}-\\d{2}-\\d{2}$'}}, 'additionalProperties': False}
Eingabeschema
{'type': 'object', 'required': ['dataset', 'capability'], 'properties': {'dataset': {'type': 'string', 'maxLength': 100, 'minLength': 2}, 'capability': {'enum': ['dataset', 'filter', 'aggregation', 'insight', 'freshness', 'export'], 'type': 'string'}, 'source_url': {'type': 'string', 'format': 'uri'}, 'example_query': {'type': 'string', 'maxLength': 240}}, 'additionalProperties': False}
Eingabeschema
{'type': 'object', 'required': ['discovered_dataset_id'], 'properties': {'discovered_dataset_id': {'type': 'string', 'pattern': '^disc_[a-f0-9]{24}$', 'description': 'Exact catalog ID returned by search_discovered_datasets.'}}, 'additionalProperties': False}
Eingabeschema
{'type': 'object', 'properties': {'plan': {'enum': ['pass', 'subscription'], 'type': 'string', 'default': 'pass'}}, 'additionalProperties': False}
Eingabeschema
{'type': 'object', 'required': ['dataset_id'], 'properties': {'dataset_id': {'type': 'string', 'description': 'Exact query-ready dataset ID returned by list_imported_datasets.'}}, 'additionalProperties': False}
Eingabeschema
{'type': 'object', 'properties': {}, 'additionalProperties': False}
Eingabeschema
{'type': 'object', 'properties': {'limit': {'type': 'integer', 'maximum': 100, 'minimum': 1, 'description': 'Maximum matches to return; defaults to the service limit.'}, 'query': {'type': 'string', 'maxLength': 100, 'description': 'Optional title or description keywords.'}, 'source_id': {'type': 'string', 'maxLength': 100, 'description': 'Optional exact official source ID returned by list_official_sources.'}}, 'additionalProperties': False}
Eingabeschema
{'type': 'object', 'required': ['query'], 'properties': {'query': {'type': 'string', 'minLength': 1, 'description': 'Plain-language topic, agency, or dataset keywords, such as employment, schools, or air quality.'}}, 'additionalProperties': False}
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