log-analyzer-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| search_logsA | Search log files by keywords or regex patterns. Returns matching log entries with timestamps. |
| count_by_levelB | Count log entries by severity level (ERROR, WARN, INFO, DEBUG) |
| query_by_timerangeC | Query logs within a specific time range |
| get_system_metricsB | Get CPU, memory, and disk metrics from the system |
| explain_errorC | AI-assisted error analysis. Formats error content for AI analysis. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 5 tools
Each tool has a clearly distinct purpose: counting by level, error explanation, system metrics, time-range queries, and keyword search. No overlap in functionality.
Names follow a verb-oriented pattern (count, explain, get, query, search) but mix styles: some use 'by_' (count_by_level, query_by_timerange) while others are plain verb_noun (explain_error, get_system_metrics, search_logs). Mostly consistent but with minor deviations.
5 tools is well-scoped for a log analysis server, covering essential operations without being too few or excessive.
Core log analysis tasks are covered: search, count by level, time-range queries, error explanation, and system metrics. Minor gaps exist, such as lacking a tool to list log sources or aggregate statistics beyond level counting.