Frequently Asked Questions (FAQ) about the BatchData MCP Server

Q: What is an MCP Server? A: 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.

Q: What is BatchData.io? A: 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.

Q: What are the key features of the BatchData MCP Server? A: Key features include:

• Address verification and standardization
• Address auto-completion
• Geocoding (converting addresses to coordinates)
• Reverse geocoding (converting coordinates to addresses)
• Detailed property information lookup
• Advanced property search with filters
• Geographic boundary-based property searches
• Property count queries

Q: How does the BatchData MCP Server integrate with Claude? A: 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).

Q: What is the UBOS platform, and how does the MCP Server fit in? A: 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.

Q: What type of real estate data can I access through this MCP server? A: 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).

Q: What are the API rate limits for BatchData.io? A: The rate limits vary per endpoint:

• Address Verification: 5,000 max (1,000 recommended per batch)
• Address Geocoding: 90 max (75 recommended per batch)
• Property Search: 1,000 max requests
• Property Lookup: Standard API limits

Q: What environment variables are required to run the server? A: The only required environment variable is BATCHDATA_API_KEY, which is your BatchData.io API key.

Q: What kind of error handling does the server have? A: The server includes comprehensive error handling for invalid API keys, network request failures, malformed requests, API rate limit exceeded, and invalid parameter combinations.

Q: How do I install and configure the BatchData MCP Server? A: 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.

Q: Can I use this MCP server with other AI models besides Claude? A: 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.

Q: What is the license for the BatchData MCP Server? A: The server is released under the MIT License.

Q: Where can I find support and documentation? A: You can find documentation at:

• BatchData API: https://developer.batchdata.com/
• MCP Protocol: https://modelcontextprotocol.io/
• UBOS Platform: https://ubos.tech

For issues, use the GitHub Issues page.