Logpush MCP
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- FlicenseAqualityDmaintenanceEnables searching and analyzing AWS CloudWatch logs with support for configurable log groups, time-based searches, and service-specific log stream filtering.5-
- AlicenseAqualityCmaintenanceEnables AI assistants to automatically inspect and analyze application runtime log files for debugging and troubleshooting. Supports monitoring multiple log directories simultaneously with tools for listing, reading, searching, and paginating through log files.8MIT
- FlicenseAqualityDmaintenanceEnables querying OpenTelemetry logs stored in OpenSearch across development and production environments. Provides tools for searching logs by various criteria including free-text Lucene queries, trace IDs, service names, error levels, and specific fields.8-
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- FlicenseNot gradedqualityDmaintenanceProvides AI assistants with read-only access to AWS CloudWatch Logs for production debugging and log analysis, enabling error searching and bug report generation.-
TDQS
Scored across 7 tools
Each tool has a clearly distinct purpose with no ambiguity: get_errors retrieves error logs, get_latest fetches recent entries, get_log_stats provides aggregated data, list_log_dates lists available dates, list_log_files enumerates files for a date, read_log_file reads a specific file, and search_logs performs filtered searches. The descriptions reinforce these distinct roles, making tool selection straightforward.
All tool names follow a consistent verb_noun pattern using snake_case, such as get_errors, list_log_dates, and search_logs. This uniformity enhances readability and predictability across the toolset, with no deviations in naming conventions.
With 7 tools, this server is well-scoped for log management, covering essential operations like retrieval, listing, statistics, and search. Each tool serves a specific function without redundancy, making the count appropriate for the domain's needs.
The toolset provides comprehensive coverage for log management, including listing dates and files, reading specific files, retrieving errors and latest entries, gathering statistics, and performing searches with filters. There are no obvious gaps, enabling agents to handle typical log analysis workflows effectively.