mcp-french-associations
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| french_associations_get_sourcesB | List curated sources used by this MCP. |
| french_associations_fetch_source_excerptB | Fetch a short text excerpt from a curated source by index or title keyword. |
| french_associations_search_datasetsC | Search data.gouv.fr for association datasets: RNA, JOAFE, subsidies, local grants. |
| french_associations_get_datasetA | Inspect a data.gouv.fr association-related dataset by slug or id and list its usable resources. |
| french_associations_build_search_planC | Build a practical public-source search plan for a French association name or RNA id. |
| french_associations_search_subsidiesC | Search data.gouv.fr for public subsidy datasets related to associations. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 6 tools
Each tool has a clear primary purpose, though search_datasets and search_subsidies overlap in scope (both search data.gouv.fr for association-related datasets). The descriptions specify search_datasets covers RNA, JOAFE, subsidies, and grants, while search_subsidies is narrower, so they are distinguishable but could cause minor misselection.
All tool names follow a consistent pattern: the prefix 'french_associations_' combined with a verb_noun structure (get_sources, fetch_source_excerpt, search_datasets, get_dataset, build_search_plan, search_subsidies). This makes the tool set predictable and easy to navigate.
With only 6 tools, the server is highly focused and each tool contributes to its stated purpose of finding and inspecting French association data. The count is well-scoped, avoiding unnecessary bloat or overly sparse coverage.
The tools cover listing sources, fetching excerpts, searching for datasets, inspecting datasets, and building search plans. A notable gap is the absence of a tool to actually retrieve full dataset records or query resources directly, but the server appears designed to assist agents in planning searches rather than executing heavy data pulls, so this is a minor gap.