How to Use the Zoopla MCP in Claude Code

Q: How do I check sold prices with Zoopla and Claude Code?

Just run the averagesoldprices command. The output is clean data that pipes perfectly into your shell script for further processing or logging to a database.

Q: Can I get property listings in bulk with Zoopla and Claude Code?

Yes, use propertylistings. You can loop through multiple areas in your script, making the MCP Server fetch data for every location and funneling it into a single output stream.

Q: Is it possible to find street value extremes with Zoopla and Claude Code?

You can run propertyrichlist and capture the output. The resulting list—showing both high and low-cost streets—is ideal for a script that needs to generate comparative data points.

Q: How do I get local area stats with Zoopla and Claude Code?

Use localinfographs. This returns URLs, which your shell script can then process—perhaps downloading the graph images or logging the source URL for later use in a report.

Automate market analysis from the terminal with Claude Code. Run Zoopla data pulls in CI/CD pipelines.

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Claude Code: Get Area Valuation Metrics

Run `zed_index` via a simple command to pull the Zoopla Zed-Index for any area. The output is plain text, making it perfect for piping directly into other shell scripts or passing as an environment variable. This capability allows you to automate checks—for instance, running nightly cron jobs that compare today's index against yesterday's.

MCP Server: Pull Property Lists

Execute `property_listings` in a CI/CD pipeline. You get the full list of properties for sale or rent, which can then be filtered using standard Unix tools like `grep` or `awk` before saving to disk. This makes it simple to batch process thousands of records across multiple regions without needing an intermediary application layer.

Claude Code: Analyze Sold Prices

Use the `average_sold_prices` tool in a script. The output is clean, delimited data that you can easily redirect and append to a CSV file. No JSON parsing needed—just raw numbers for calculation. This is essential for backend services that track long-term market shifts over time.

Setup guide

Set up Zoopla MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see zoopla-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Zoopla transactions." It will automatically discover and invoke the available Zoopla tools.

Terminal

claude mcp add --transport http zoopla-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

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Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Zoopla MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "zoopla-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Zoopla. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Zoopla MCP in Claude Code

Just run the `average_sold_prices` command. The output is clean data that pipes perfectly into your shell script for further processing or logging to a database.

Yes, use `property_listings`. You can loop through multiple areas in your script, making the MCP Server fetch data for every location and funneling it into a single output stream.

This MCP Server touches property listing data, specifically records that include sale or rental status. When piping the results, ensure your script only logs non-personal identifying information (PII).

You can run `property_rich_list` and capture the output. The resulting list—showing both high and low-cost streets—is ideal for a script that needs to generate comparative data points.

Use `local_info_graphs`. This returns URLs, which your shell script can then process—perhaps downloading the graph images or logging the source URL for later use in a report.

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