Question 1

What is an MCP Server?

Accepted Answer

MCP (Model Context Protocol) stands for Model Context Protocol. It's an open protocol that standardizes how applications provide context to Large Language Models (LLMs). An MCP server acts as a bridge, allowing AI models like Claude to access and interact with external data sources, such as BatchData.io's property APIs.

Question 2

What is BatchData.io?

Accepted Answer

BatchData.io is a provider of comprehensive property and address APIs. It offers data on property details, address verification, skip tracing, geocoding, and advanced property search capabilities.

Question 3

What are the key features of the BatchData MCP Server?

Accepted Answer

Key features include:nn*   Address verification and standardizationn*   Address auto-completionn*   Geocoding (converting addresses to coordinates)n*   Reverse geocoding (converting coordinates to addresses)n*   Detailed property information lookupn*   Advanced property search with filtersn*   Geographic boundary-based property searchesn*   Property count queries

Question 4

How does the BatchData MCP Server integrate with Claude?

Accepted Answer

The BatchData MCP Server is configured within Claude Desktop by adding a configuration entry that specifies the command to run the server, its arguments, and the required environment variables (specifically, the BatchData API key).

Question 5

What is the UBOS platform, and how does the MCP Server fit in?

Accepted Answer

UBOS is a full-stack AI Agent Development Platform focused on bringing AI Agents to every business department. It helps orchestrate AI Agents, connect them with enterprise data, build custom AI Agents with your LLM model, and create Multi-Agent Systems. The MCP Server acts as a component that enables AI Agents to access and use real estate data.

Question 6

What type of real estate data can I access through this MCP server?

Accepted Answer

You can access a wide range of real estate data, including property characteristics, sales history, tax assessments, ownership information, and location data (latitude/longitude coordinates).

Question 7

What are the API rate limits for BatchData.io?

Accepted Answer

The rate limits vary per endpoint:nn*   Address Verification: 5,000 max (1,000 recommended per batch)n*   Address Geocoding: 90 max (75 recommended per batch)n*   Property Search: 1,000 max requestsn*   Property Lookup: Standard API limits

Question 8

What environment variables are required to run the server?

Accepted Answer

The only required environment variable is `BATCHDATA_API_KEY`, which is your BatchData.io API key.

Question 9

What kind of error handling does the server have?

Accepted Answer

The server includes comprehensive error handling for invalid API keys, network request failures, malformed requests, API rate limit exceeded, and invalid parameter combinations.

Question 10

How do I install and configure the BatchData MCP Server?

Accepted Answer

You can install it by cloning the repository, installing dependencies with `npm install`, configuring your API key in a `.env` file, building the TypeScript project with `npm run build`, and then running the server with `npm start`. Quick setup scripts are also provided for Linux/macOS and Windows.

Question 11

Can I use this MCP server with other AI models besides Claude?

Accepted Answer

While specifically configured for Claude in the provided documentation, the MCP server, adhering to the Model Context Protocol, *could* be adapted for use with other LLMs that support MCP, provided they are configured to communicate with the server correctly. However, UBOS primarily supports integration with Claude.

Question 12

What is the license for the BatchData MCP Server?

Accepted Answer

The server is released under the MIT License.

Question 13

Where can I find support and documentation?

Accepted Answer

You can find documentation at:nn*   BatchData API: [https://developer.batchdata.com/](https://developer.batchdata.com/)n*   MCP Protocol: [https://modelcontextprotocol.io/](https://modelcontextprotocol.io)n*   UBOS Platform: [https://ubos.tech](https://ubos.tech)nnFor issues, use the [GitHub Issues](https://github.com/zellerhaus/batchdata-mcp-real-estate/issues) page.

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