Amazon Marketplace MCP Server by CData

@CDataSoftware

About Amazon Marketplace MCP Server by CData

This read-only MCP Server allows you to connect to Amazon Marketplace data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

#amazon #mcp #server #cdata

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "{classname_dash}": {
      "command": "PATH\\TO\\java.exe",
      "args": [
        "-jar",
        "PATH\\TO\\CDataMCP-jar-with-dependencies.jar",
        "PATH\\TO\\amazon-marketplace.prp"
      ]
    }
  }
}

Tools

No tools detected

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Overview

What is Amazon Marketplace MCP Server by CData?

The Amazon Marketplace MCP Server by CData is a local, read-only MCP server that uses the CData JDBC Driver for Amazon Marketplace to expose Amazon Marketplace data as relational SQL models. It allows LLMs like Claude Desktop to query live Amazon Marketplace data using natural language, no SQL required.

How to use Amazon Marketplace MCP Server by CData?

Clone the repository, build with Maven (mvn clean install), install and license the CData JDBC Driver for Amazon Marketplace, configure a .prp file with your JDBC connection string, and add the server to your MCP client (e.g., Claude Desktop) by editing claude_desktop_config.json. The server communicates via stdio and runs locally.

Key features of Amazon Marketplace MCP Server by CData

Read-only access to live Amazon Marketplace data
Natural language querying via LLM clients
Built on the CData JDBC Driver for Amazon Marketplace
Exposes tools: _get_tables, _get_columns, _run_query
Local execution (stdio transport)

Use cases of Amazon Marketplace MCP Server by CData

Ask Claude Desktop for live sales or inventory summaries from Amazon Marketplace
Explore table schemas and run SQL queries without manual SQL writing
Integrate Amazon Marketplace data into AI-driven analytics workflows

FAQ from Amazon Marketplace MCP Server by CData

What is the difference between this server and CData Connect AI?

This server is a local, read-only MCP server. CData Connect AI is a fully remote managed MCP platform that supports full read, write, update, delete, and action capabilities with a simplified setup.

What are the runtime requirements for Amazon Marketplace MCP Server by CData?

You need Java (to run the JAR), the CData JDBC Driver for Amazon Marketplace (downloaded and licensed), and a Maven build environment to compile the server.

Where does the data live?

Data stays in your local Amazon Marketplace database instance; the server fetches live data via the JDBC driver on each query.

How does authentication work?

Authentication (e.g., OAuth) is handled when building the JDBC connection string using the CData JDBC Driver’s Connection String utility; the server then uses that string.

What are the known limits?

The server is read-only, local-only (uses stdio transport), and requires manual build and configuration steps. For full CRUD or remote access, refer to the alternative CData products.

Frequently asked questions

What is the difference between this server and CData Connect AI?

This server is a local, read-only MCP server. CData Connect AI is a fully remote managed MCP platform that supports full read, write, update, delete, and action capabilities with a simplified setup.

What are the runtime requirements for Amazon Marketplace MCP Server by CData?

You need Java (to run the JAR), the CData JDBC Driver for Amazon Marketplace (downloaded and licensed), and a Maven build environment to compile the server.

Where does the data live?

Data stays in your local Amazon Marketplace database instance; the server fetches live data via the JDBC driver on each query.

How does authentication work?

Authentication (e.g., OAuth) is handled when building the JDBC connection string using the CData JDBC Driver’s Connection String utility; the server then uses that string.

What are the known limits?

The server is read-only, local-only (uses `stdio` transport), and requires manual build and configuration steps. For full CRUD or remote access, refer to the alternative CData products.

Comments

Basic information

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