Log Analyzer
This MCP server provides powerful log analysis capabilities for Python development workflows, offering both a command-line interface and MCP server integration for AI assistants. Built with a flexible core analysis engine that supports time-based filtering (last N minutes/hours/days), positional filtering (first/last N records), and configurable content pattern matching across multiple log levels, it enables developers to quickly parse pytest test outputs, search runtime error logs, and generate code coverage reports. The implementation features environment-based configuration through .env files with support for named logging scopes, context line extraction around matches, and integration with hatch for test execution and coverage generation, making it valuable for debugging complex applications, monitoring test runs, and maintaining code quality in Python projects.
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
- monitoring
- Source
- PulseMCP
- Repository
- github.com/djm81/log_analyzer_mcp
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve Log Analyzer 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--scope user for --scope project to commit it to .mcp.json.