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Glama
Hug0x0

mcp-french-associations

by Hug0x0

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

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

CapabilityDetails
tools
{
  "listChanged": true
}

Tools

Functions exposed to the LLM to take actions

NameDescription
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

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

B3.2/5.0

Scored across 6 tools

Disambiguation4/5

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.

Naming Consistency5/5

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.

Tool Count5/5

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.

Completeness4/5

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.

Maintenance

ActivityMaintained
ResponsivenessNo issues