Semantic Frame
Token-efficient semantic compression for numerical data. 95%+ token reduction.
What is Semantic Frame?
Semantic Frame is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to token-efficient semantic compression for numerical data. 95%+ token reduction.
Token-efficient semantic compression for numerical data. 95%+ token reduction.
This server falls under the Developer Tools and Data Science & ML categories on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Token-efficient semantic compression for numerical data. 95%
Use Cases
Maintainer
Works with
Installation
PIP
pip install semantic-frameManual Installation
pip install semantic-frameConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Semantic Frame
What is Semantic Frame?
Semantic Frame is a Model Context Protocol (MCP) server that token-efficient semantic compression for numerical data. 95%+ token reduction. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Semantic Frame?
Install via pip with: pip install semantic-frame. Then configure your AI client to connect to this MCP server.
Which AI clients work with Semantic Frame?
Semantic Frame works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Semantic Frame free to use?
Yes, Semantic Frame 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 Developer Tools MCP Servers
Explore all developer tools servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up Semantic Frame 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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