pulsemcp scanned Safe content atomic mcp-remote

Log Analysis SQLite

This SQLite MCP server implementation enables AI assistants to analyze log files by creating and querying a structured database from compressed log data. It processes gzipped log files into an SQLite database with tables for logs, stack traces, and parsing errors, while providing tools to extract error data to Parquet format for further analysis. The server supports querying by log level, timestamp, and module, making it valuable for troubleshooting application issues, identifying error patterns, and generating insights from large volumes of log data.

Cognium trust score
63%
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

View full trust & usage report →

Metadata

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

MCP

Resolve Log Analysis SQLite 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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