Property Price Search 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 |
|---|---|
| search-property-pricesA | Search HM Land Registry price-paid data. Provide either |
| lookup-postcodesA | Look up UK postcodes (Code-Point Open) and find nearest neighbours using OSGB36 eastings/northings. Provide either |
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 2 tools
The two tools have clearly distinct purposes: one looks up postcode data and finds nearest neighbours, while the other searches property price data. There is no overlap in functionality, making it easy for an agent to choose the correct tool based on the task.
Both tools follow a consistent verb_noun pattern with hyphens: 'lookup-postcodes' and 'search-property-prices'. This naming convention is predictable and readable throughout the set.
With only 2 tools, the server feels under-scoped for a property price search domain. While the tools cover postcode lookup and price search, there are likely missing operations such as filtering by property features or retrieving detailed property records, making the surface thin and incomplete.
The server lacks comprehensive coverage for property price search. It includes basic lookup and search functions but misses essential operations like updating or deleting data, advanced analytics, or integration with other property databases, which could lead to agent failures in complex tasks.