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Access real estate data and services for listing lookup, analysis, and automation.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Real Estate Mcp" MCP server from askskill: Run: claude mcp add --transport http 'io-github-varvararatta-real-estate-mcp' 'https://real_estate_mcp.mcpize.run/mcp'
Use Real Estate Mcp to find two-bedroom homes for sale in Pudong, Shanghai, priced between 3 and 5 million RMB. Return community name, size, total price, and price per square meter.
A filtered list of matching properties with key fields for quick comparison.
Use Real Estate Mcp to retrieve residential listing data from the past 3 months in Chaoyang, Beijing, then summarize average total price, average unit price, and listing count by business district.
A district-level pricing summary suitable for market analysis or reporting.
Design an automated workflow using Real Estate Mcp to check newly listed apartments in Tianhe, Guangzhou every day with rent below 6,000 RMB, and organize them into a table.
An actionable automation plan or script outline for ongoing new-listing monitoring.
Query DNS records via Google DNS-over-HTTPS for inspection and troubleshooting.
Connect to e-commerce systems to query products, orders, and store data.
Convert speech into text for note-taking, organization, and analysis.
Query country data for research, analysis, and application integration.
Access travel and transportation services for routes, options, and transit data.
Run marketing analysis, campaign planning, and promotion automation tasks.
Connect to a research MCP server for finding, organizing, and analyzing information.
Aggregate real estate data for market insights, valuation, and investment analysis.
Generate PDF real estate reports with location analysis, market insights, and summaries.
Connect home automation systems for AI-driven device status checks and control.
Manage leads, pipeline stages, client interactions, and reports for freelance sales workflows.
Securely inspect and query SQL Server databases for analysis and troubleshooting.