BatchData MCP Server

Created By
zellerhausa year ago
Model Context Protocol (MCP) server for BatchData.io property and address APIs - Real estate data integration for Claude and other AI assistants
Overview

What is BatchData MCP Server?

BatchData MCP Server is a Model Context Protocol (MCP) server that integrates with BatchData.io's property and address APIs, providing real estate data integration for AI assistants like Claude.

How to use BatchData MCP Server?

To use the BatchData MCP Server, clone the repository, install dependencies, configure your API key, and run the server. You can also use automated setup scripts for quick installation.

Key features of BatchData MCP Server?

  • Address verification and standardization using USPS
  • Intelligent address autocomplete suggestions
  • Geocoding and reverse geocoding capabilities
  • Detailed property lookup and advanced property search
  • Geographic boundary searches and property count queries

Use cases of BatchData MCP Server?

  1. Real estate professionals can verify and standardize addresses for listings.
  2. Developers can integrate property data into applications for enhanced user experience.
  3. Users can perform natural language queries to find properties or verify addresses.

FAQ from BatchData MCP Server?

  • What is the purpose of the BatchData MCP Server?

It provides access to comprehensive property data and address verification services for AI applications.

  • Is there a limit on API requests?

Yes, there are rate limits per endpoint, such as 5,000 for address verification and 1,000 for property searches.

  • How do I get an API key?

You can obtain an API key from the BatchData settings page after registering.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
zellerhaus
Star
0
Language
TypeScript
License
MIT license

Recommend Servers

View All
Mnemom

14 hours ago
//beforeyouship — LLM Cost Modeling From Your Editor
@Indiegoing

Query realistic LLM cost models without leaving your editor. beforeyouship models the **true monthly cost** of an LLM app architecture — retries, prompt caching, batch discounts, infra overhead, and 3×/10× growth — across GPT-5.x, Claude, Gemini, DeepSeek, and more. Not a token calculator: a planning tool for the design phase, before you commit to a stack. **No API key needed to try it** — demo mode covers the six free-tier models. A Pro key from [beforeyouship.dev](https://beforeyouship.dev) unlocks the full 18-model catalog. ## What you can ask - "How much will a RAG chatbot cost at 10,000 requests/day?" - "Compare Claude Haiku vs Gemini Flash pricing for my workload" - "What's the cheapest model for a multi-step agent at scale?" - "Show me current per-token prices for Anthropic models" ## Tools ### `estimate_cost` Full cost model for an architecture at a given usage level. Returns Naive / Realistic / Worst Case monthly cost per model, 3×/10× growth scenarios, and an opinionated recommendation with reasoning. ### `get_model_prices` Current per-1M-token pricing — input, output, cached input, batch — with context windows and staleness metadata. ### `list_archetypes` Seven preset architecture patterns (simple chatbot, chatbot with history, RAG pipeline, multi-model router, coding assistant, document processor, multi-step agent) used as starting points for estimates. ## Setup **Claude Code:** ​```bash claude mcp add --transport http beforeyouship https://beforeyouship.dev/api/mcp ​``` **Cursor / other clients** — add a remote server: ​```json { "mcpServers": { "beforeyouship": { "type": "streamable-http", "url": "https://beforeyouship.dev/api/mcp" } } } ​``` Add an `Authorization: Bearer bys_...` header with a Pro key for the full catalog. ## Try it > Estimate the monthly cost of a RAG pipeline at 10,000 requests/day

13 hours ago
Docwand

13 hours ago