Last updated
March 16, 2026
MCP profile
Github Anarkitty1 Semantic Frame
Token-efficient semantic compression for numerical data. 95%+ token reduction.
Developer ToolsPackagePythonOpen SourceExternal
Visibility
Public
ByRegistry
About This MCP Server
Semantic Frame converts raw numerical data (NumPy, Pandas, Polars) into natural language descriptions optimized for LLM consumption. Instead of sending thousands of data points to an AI agent, send a 50-word semantic summary.
Capabilities
NumPy: np.ndarrayPandas: pd.Series, pd.DataFramePolars: pl.Series, pl.DataFramePython: list
Specifications
Status
live
Industry
Developer Tools
Category
General
Server type
Package
Language
Python
License
Open Source
Verified
Yes
Requirements
- pip install semantic-frame[mcp]
Hosting
Hosting Options
- Package
API
Integrate this server into your application. Choose a connection method below.
1
Install
Install command
Python
pip install semantic-framePerformance
Usage
Quick Reference
- Name
- Github Anarkitty1 Semantic Frame
- Function
- Token-efficient semantic compression for numerical data. 95%+ token reduction.
- Transport
- Package
- Language
- Python
- Install
- pip install semantic-frame
- Source
- External (Registry)
- License
- Open Source
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