Open Census MCP Server
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- AlicenseNot gradedqualityCmaintenanceProvides access to official U.S. Census Bureau data, including decennial census, American Community Survey, economic census, population estimates, and housing characteristics, across geographic levels from nation to block group. Enables natural-language queries and direct tool calls for demographic and housing analysis.5 npmMIT
- FlicenseNot gradedqualityDmaintenanceEnables access to U.S. Census Bureau data including demographics, population, income, and housing statistics. Users can query specific variables, search datasets, and retrieve geographic FIPS codes across various surveys like the American Community Survey and Decennial Census.1-
- FlicenseNot gradedqualityDmaintenanceProvides access to the US Census Bureau API, allowing AI agents to retrieve demographic data and population statistics across thousands of datasets. It enables users to search for datasets, discover variable codes, and query specific geographic data like states and counties.-
- FlicenseNot gradedqualityDmaintenanceEnables access to USDA NASS agricultural statistics data through natural language queries, supporting full dataset retrieval, record counts, and parameter discovery.4-
- AlicenseAqualityBmaintenanceEnables querying Malaysian official statistics through natural language, with correct series resolution, statistical transformations, and provenance-attached data.11MIT

Thesma MCP Serverofficial
AlicenseAqualityDmaintenanceGives AI assistants access to SEC filings, BLS employment, Census demographics, and SBA lending data via natural language queries.60MIT
TDQS
Scored across 3 tools
Each tool has a clearly distinct purpose with no overlap: explore_variables for variable discovery, get_methodology_guidance for statistical methodology orientation, and get_census_data for data retrieval. The descriptions explicitly guide when to use each tool, eliminating any ambiguity.
All three tools follow a consistent verb_noun pattern with underscores: explore_variables, get_methodology_guidance, and get_census_data. The naming is uniform and predictable across the set.
With only 3 tools, the set feels thin for a Census data domain that typically involves complex workflows like filtering, aggregation, or visualization. While the tools cover core functions, the low count may limit agent capabilities for comprehensive analysis.
The tools cover key aspects: methodology guidance, variable discovery, and data retrieval, forming a logical workflow. However, there are minor gaps such as no tools for data transformation, geographic mapping, or advanced filtering, which agents might need to work around.