UK ONS MCP Server
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
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| list_datasetsB | List available ONS datasets with metadata |
| get_datasetC | Get detailed information about a specific dataset |
| search_datasetsB | Search for datasets by name or description |
| get_observationC | Get specific data observations with dimension filters |
| get_latest_dataC | Get the latest available data for a dataset with optional filters |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| Popular ONS Datasets | List of commonly used ONS datasets |
| ONS API Information | Information about the ONS API endpoints and capabilities |
TDQS
Scored across 5 tools
Each tool has a clearly distinct purpose: list_datasets and search_datasets handle dataset discovery, get_dataset retrieves metadata, get_latest_data provides filtered current data, and get_observation targets specific data points. There is no overlap or ambiguity between these functions.
All tools follow a consistent verb_noun pattern with snake_case (get_dataset, get_latest_data, get_observation, list_datasets, search_datasets). The naming is predictable and follows a clear convention throughout.
With 5 tools, this server is well-scoped for accessing UK ONS data. The count is appropriate, covering dataset discovery, metadata retrieval, and data access without being too sparse or bloated.
The toolset provides strong coverage for data retrieval and discovery in the ONS domain, including listing, searching, and accessing datasets and observations. A minor gap is the lack of update or administrative tools, but this is reasonable for a read-only data access server.