Praesago MCP Server

UK property area intelligence inside Claude, ChatGPT, Cursor or any MCP client.

Ask your AI assistant "is Walthamstow up and coming?" or "find areas in the North West under £250k with strong fundamentals" and get live, validated answers from Praesago's data — 2,292 England & Wales postcode districts scored monthly from 30+ government data sources (Land Registry, ONS, police.uk, EPC, planning registers and more).

This is a hosted (remote) MCP server — no install, no local process.

https://www.praesago.com/api/mcp

Transport: Streamable HTTP (JSON-RPC 2.0, protocol 2025-03-26).

Connect

Claude (web / desktop): Settings → Connectors → Add custom connector → paste the URL above.

Claude Code:

claude mcp add --transport http praesago https://www.praesago.com/api/mcp

Cursor / other clients: add a remote server with transport http and the URL above.

Local stdio (any MCP client, or air-gapped configs): this repo ships a zero-dependency stdio proxy to the hosted endpoint:

python server.py                       # Python 3.9+, no pip install needed
# or
docker build -t praesago-mcp . && docker run -i praesago-mcp

Set PRAESAGO_API_KEY in the environment to unlock full area context.

Related MCP server: PropertyScoop MCP Server

Tools

Tool	Access	What it does
`get_area_score`	Free	Trajectory Score (0–100), national percentile, gentrification early-warning stage and measured historical calibration for any postcode district or full postcode
`search_areas`	Free	Screen all 2,292 districts by minimum score, region and maximum median price
`compare_areas`	Free	Two districts side by side
`get_area_context`	API key	Full area payload: demographics, income, tenure, deprivation (IMD), health, education, broadband, flood risk, council tax, politics, 12-month prices
`search` / `fetch`	Free / key	Aliases for ChatGPT deep-research connector compatibility

Free tier: 30 calls/day, no key needed. Full access: add a Praesago API key as Authorization: Bearer or X-API-Key.

Honesty notes

The Trajectory Score measures the strength of signals that have historically preceded property price growth. It is a screening aid, not a prediction — and the server's instructions tell your assistant exactly that. Praesago publishes its full validation record, including the windows where the model failed: praesago.com/validation.

Calibration (measured across ~36,700 backtested district-windows): districts scoring 60+ beat their county's median price growth in 63% of three-year windows; districts under 40 managed 37%.

Example prompts

"Is Walthamstow up and coming?"
"Find postcode districts in Greater Manchester under £250k with strong fundamentals"
"Compare E17 and N15 for a buy-to-let"