YouTube Analytics MCP Server by CData

@CDataSoftware

About YouTube Analytics MCP Server by CData

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for YouTube Analytics (beta): https://www.cdata.com/download/download.aspx?sku=BYZK-V&type=beta

#youtube-analytics #mcp-server #data-access

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\\youtube-analytics.prp"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is YouTube Analytics MCP Server by CData?

YouTube Analytics MCP Server by CData is a read-only Model Context Protocol (MCP) server that wraps the CData JDBC Driver for YouTube Analytics, exposing YouTube Analytics data as relational SQL models. It allows LLMs like Claude Desktop to query live YouTube Analytics data using natural language questions without writing SQL.

How to use YouTube Analytics MCP Server by CData?

To use YouTube Analytics MCP Server by CData, clone the repository, build with Maven (mvn clean install), download and license the CData JDBC Driver for YouTube Analytics, configure a .prp file with JDBC connection details, and add the server to your Claude Desktop configuration file (e.g., claude_desktop_config.json) with the path to the JAR and .prp file. The server runs via stdio and must be on the same machine as the client.

Key features of YouTube Analytics MCP Server by CData

Read-only access to YouTube Analytics data.
Wraps CData JDBC Driver for YouTube Analytics.
Exposes data as relational SQL tables.
Provides tools: get_tables, get_columns, run_query.
Supports natural language queries through LLMs.
Built using MCP protocol for AI integration.

Use cases of YouTube Analytics MCP Server by CData

Querying live YouTube Analytics metrics via Claude Desktop.
Correlating YouTube Analytics data with other business data.
Generating reports from YouTube Analytics without manual SQL.
Integrating YouTube Analytics into AI-driven analytics workflows.

FAQ from YouTube Analytics MCP Server by CData

What data can I access with this server?

It provides read-only access to YouTube Analytics data exposed by the CData JDBC Driver, which treats YouTube Analytics data as relational tables.

What are the dependencies for running the server?

You need Java, Maven, and the CData JDBC Driver for YouTube Analytics (licensed or trial). The driver JAR must be installed and referenced in the .prp file.

How does the server connect to YouTube Analytics?

The server uses a JDBC connection string configured in a .prp file, which is built using the CData JDBC Driver’s connection string utility. OAuth authentication is handled during setup.

What transports or protocols does the server use?

The server communicates via stdio transport and uses the MCP protocol with JSON-RPC 2.0 for tool calls.

What are the known limitations of this server?

This is a read-only server. For full CRUD and action capabilities, CData offers a separate beta MCP server. The server can only be used with clients running on the same machine.

Frequently asked questions

What data can I access with this server?

It provides read-only access to YouTube Analytics data exposed by the CData JDBC Driver, which treats YouTube Analytics data as relational tables.

What are the dependencies for running the server?

You need Java, Maven, and the CData JDBC Driver for YouTube Analytics (licensed or trial). The driver JAR must be installed and referenced in the `.prp` file.

How does the server connect to YouTube Analytics?

The server uses a JDBC connection string configured in a `.prp` file, which is built using the CData JDBC Driver’s connection string utility. OAuth authentication is handled during setup.

What transports or protocols does the server use?

The server communicates via `stdio` transport and uses the MCP protocol with JSON-RPC 2.0 for tool calls.

What are the known limitations of this server?

This is a read-only server. For full CRUD and action capabilities, CData offers a separate beta MCP server. The server can only be used with clients running on the same machine.

Comments

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