6 tools from the Opendata Ademe MCP Server, categorised by risk level.
View the Opendata Ademe policy →aggregate_data Aggregate dataset rows by 1-3 columns with optional metrics (sum, avg, min, max, count). Defaults to counting unique values. calculate_metric Calculate a single metric (avg, sum, min, max, stats, value_count, cardinality, percentiles) on a dataset column. Supports filters to restrict the ... describe_dataset Get detailed metadata for a dataset: column schema, sample rows, license, spatial/temporal coverage. get_field_values List distinct values of a specific column. Useful to discover what values exist before filtering, or to populate a filter list. 2/5 search_data Search for data rows in a dataset using full-text search (query) or precise column filters. Returns matching rows and a filtered view URL. 2/5 search_datasets Full-text search for datasets by French keywords. Returns matching datasets with ID, title, summary, and page link. 2/5 The Opendata Ademe MCP server exposes 6 tools across 1 categories: Read.
Use Intercept, the open-source MCP proxy. Write YAML rules for each tool — rate limits, argument validation, or deny rules — then run Intercept in front of the Opendata Ademe server.
Opendata Ademe tools are categorised as Read (6). Each category has a recommended default policy.
Open source. One binary. Zero dependencies.
npx -y @policylayer/intercept