WSPR Analytics
WSPR beacon analytics MCP server. Band openings, path analysis, solar correlation.
What is WSPR Analytics?
WSPR Analytics is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to wspr beacon analytics mcp server. band openings, path analysis, solar correlation.
WSPR beacon analytics MCP server. Band openings, path analysis, solar correlation.
This server falls under the Analytics category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- WSPR beacon analytics MCP server. Band openings, path analys
Use Cases
Maintainer
Works with
Installation
PIP
pip install wspr-mcpManual Installation
pip install wspr-mcpConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about WSPR Analytics
What is WSPR Analytics?
WSPR Analytics is a Model Context Protocol (MCP) server that wspr beacon analytics mcp server. band openings, path analysis, solar correlation. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install WSPR Analytics?
Install via pip with: pip install wspr-mcp. Then configure your AI client to connect to this MCP server.
Which AI clients work with WSPR Analytics?
WSPR Analytics works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is WSPR Analytics free to use?
Yes, WSPR Analytics 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 WSPR Analytics 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
Ready to use WSPR Analytics?
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