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Glama

Server Details

Access to Koumoul platform datasets - diverse French open data

Status
Unhealthy
Last Tested
Transport
Streamable HTTP
URL

Glama MCP Gateway

Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.

MCP client
Glama
MCP server

Full call logging

Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.

Tool access control

Enable or disable individual tools per connector, so you decide what your agents can and cannot do.

Managed credentials

Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.

Usage analytics

See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.

100% free. Your data is private.
Tool DescriptionsA

Average 4.2/5 across 7 of 7 tools scored. Lowest: 3.4/5.

Server CoherenceA
Disambiguation5/5

Each tool has a clearly distinct purpose with no overlap: aggregate_data and calculate_metric are explicitly differentiated for grouped vs. single metrics, search_data retrieves rows while search_datasets finds datasets, and geocode_address, describe_dataset, and get_field_values serve unique functions. The descriptions provide clear guidance on when to use each tool, preventing misselection.

Naming Consistency5/5

All tool names follow a consistent snake_case pattern with clear verb_noun combinations (e.g., aggregate_data, calculate_metric, describe_dataset). The naming is predictable and readable throughout, with no deviations in style or convention, making it easy for agents to understand the tool set.

Tool Count5/5

With 7 tools, the server is well-scoped for its opendata domain, covering key operations like data search, aggregation, geocoding, and metadata retrieval. Each tool earns its place without redundancy, and the count is neither too sparse nor overwhelming for the intended functionality.

Completeness4/5

The tool surface is nearly complete for an opendata server, covering data discovery (search_datasets), metadata (describe_dataset), data retrieval (search_data), analysis (aggregate_data, calculate_metric), and utilities (geocode_address, get_field_values). A minor gap exists in data manipulation operations like filtering or sorting beyond basic search, but core workflows are well-supported.

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