pulsemcp scanned Safe content atomic mcp-remote

Semantic Frame

Converts raw numerical data from NumPy, Pandas, and Polars arrays into natural language descriptions optimized for LLM consumption. Performs trend detection, volatility analysis, anomaly detection, seasonality assessment, and data quality checks. Achieves 95%+ token reduction by replacing thousands of data points with concise semantic summaries. Includes specialized trading module for financial applications.

Cognium trust score
62%
Tier
Scanned

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.

Scan details: Circle-IR · 2026-09-02 · Appeal

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Metadata

Version
1.0.0
Skill type
atomic
Execution layer
mcp-remote
Category
finance
Source
PulseMCP
Author type
human
Last scanned
2026-09-02
Updated
2026-09-02
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MCP

Resolve Semantic Frame from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
Swap --scope user for --scope project to commit it to .mcp.json.

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