semantic-frame MCP
Semantic Frame converts raw numerical data from NumPy, Pandas, or Polars into natural language descriptions optimized for LLM consumption. It provides deterministic analysis to reduce token usage by over 95% and eliminate hallucination risks associated with raw data input. The server exposes tools like describe_data, describe_batch, and describe_json for analyzing single series, multiple series, or getting structured JSON output.
Package and access
Local package with source-attributed installation metadata. Koskamo does not execute packages during review.
What you can do with it
- Analyze a single data series for trends and anomalies
- Analyze multiple data series at once
- Get structured JSON output for API integration
Source and maintenance
- Maintenance checked
Packages and installation
Source-provided package data. Koskamo has not executed or live-probed this package.
semantic-frame 0.2.1
{
"version": "0.2.1",
"transport": "stdio",
"identifier": "semantic-frame",
"registryType": "pypi"
}Tools
Reported by the attributed source; not independently observed by Koskamo.
Connect from your client
Each snippet configures the same source-provided package; replace placeholders before use.
Cursor
{
"mcpServers": {
"semantic-frame-mcp": {
"command": "uvx",
"args": [
"semantic-frame==0.2.1"
]
}
}
}Cline
{
"mcpServers": {
"semantic-frame-mcp": {
"command": "uvx",
"args": [
"semantic-frame==0.2.1"
]
}
}
}VS Code
{
"servers": {
"semantic-frame-mcp": {
"type": "stdio",
"command": "uvx",
"args": [
"semantic-frame==0.2.1"
]
}
}
}Claude Desktop
{
"mcpServers": {
"semantic-frame-mcp": {
"command": "uvx",
"args": [
"semantic-frame==0.2.1"
]
}
}
}Let your agent find its tools
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