ANSES Ciqual MCP Server
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- AlicenseAqualityDmaintenanceProvides SQL access to the ANSES Ciqual French food composition database, enabling query of nutritional data for over 3,000 foods with full-text search support.1MIT
- FlicenseNot gradedqualityDmaintenanceProvides intelligent access to the USDA nutrition database through AI assistants, enabling users to search foods, compare nutritional content, find foods high in specific nutrients, and query authoritative nutrition data across 7,146+ food items through natural language.1-
- AlicenseBqualityBmaintenanceEnables querying a global food nutrition database of generic and branded products, including search by name, lookup by barcode, and retrieval of resolved nutrient values pinned to a dated snapshot. Coverage spans USDA FoodData Central and Open Food Facts sources, with freshness health checks available.9AGPL 3.0
- AlicenseAqualityDmaintenanceEnables natural language access to USDA's FoodData Central database with 1M+ foods, supporting search, nutrition facts, food comparison, and daily value calculations.814 PyPIMIT
- AlicenseNot gradedqualityCmaintenanceProvides access to a comprehensive food database with 300,000+ items, enabling nutritional data lookups, food searches, and barcode scanning with all processing happening locally for privacy and speed.208MIT
- AlicenseNot gradedqualityBmaintenanceEnables looking up French grocery products by barcode, name or keywords across multiple store sources, cross-checking each nutrition label found and returning the best-supported one with source agreement, confidence, health flags, per-store prices and raw labels. It also supports batch label retrieval for lists of products and price comparison of the same item across stores.2MIT
TDQS
Scored across 1 tool
With only one tool named 'query', there is no possibility of ambiguity or overlap between tools. The tool's purpose is clearly defined as executing SQL queries on the ANSES Ciqual database, making it straightforward for an agent to select.
Since there is only one tool, naming consistency is inherently perfect. The tool name 'query' follows a simple, clear verb pattern that aligns with its function, and there are no other tools to cause inconsistency.
The server has only one tool, which is too few for its apparent scope of providing access to a complex food composition database with multiple tables and query types. A single SQL query tool places excessive burden on the agent to construct correct queries, lacking specialized tools for common operations like searching foods or retrieving nutrients.
The tool surface is severely incomplete for the domain. While the 'query' tool allows access to all data, it lacks dedicated tools for key operations such as food search, nutrient lookup, or retrieving specific food compositions, which are essential for a food database. This forces agents to handle complex SQL, increasing the risk of errors and inefficiencies.