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.
Returns 7 tools: search_skills, get_skill, list_leaderboard, get_trust_breakdown, resolve_composition, plus the ChatGPT-connector search and fetch. Every tool is annotated read-only.
Resolve this skill directly via MCP tools/call get_skill.