Kapruka MCP
Python MCP server that wraps the Kapruka.com REST API and exposes it as tools for LLMs and third-party MCP clients.
What is Kapruka MCP?
Kapruka MCP is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to python mcp server that wraps the kapruka.com rest api and exposes it as tools for llms and third-party mcp clients.
Python MCP server that wraps the Kapruka.com REST API and exposes it as tools for LLMs and third-party MCP clients.
This server falls under the Analytics category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Python MCP server that wraps the Kapruka.com REST API and ex
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx kapruka-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Kapruka MCP
What is Kapruka MCP?
Kapruka MCP is a Model Context Protocol (MCP) server that python mcp server that wraps the kapruka.com rest api and exposes it as tools for llms and third-party mcp clients. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Kapruka MCP?
Follow the installation instructions on the Kapruka MCP GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Kapruka MCP?
Kapruka MCP works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Kapruka MCP free to use?
Yes, Kapruka MCP is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Browse More Analytics MCP Servers
Explore all analytics servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up Kapruka MCP in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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