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Tail, search, filter, and summarize logs from files and Docker containers.
This tool is described as a local log analysis MCP server for local files and Docker container logs, with no declared secrets or remote endpoints. No clear high-risk red flags are evident, but its local execution and log access capabilities, combined with weak community trust and unclear maintenance, warrant caution.
The materials explicitly state that no keys or environment variables are required, and no API tokens, account credentials, or other sensitive authentication data are requested; based on the provided facts, credential leakage and abuse risk appears low.
No remote endpoints are declared, and the stated functionality focuses on analyzing local files and Docker container logs; based on the available information, there is no factual indication of user data being sent to external services.
The system flags this tool as capable of code execution; as an MCP server, it typically runs locally and may invoke system capabilities related to log access, and if Docker logs are supported, it may also interact with the local Docker environment. This kind of local execution is a normal tool capability, but runtime isolation should be considered.
The stated features include tailing, searching, filtering, and summarizing local log files and Docker container logs, which implies access to local log data; logs often contain sensitive business information, paths, stack traces, or token fragments. The materials do not show obvious overbroad permissions, but access to log paths and containers should be scoped carefully.
The project has a public GitHub repository and is in principle auditable, which is a positive factor that lowers risk; however, it comes from a third-party registry, has 0 stars, no declared license, unknown maintenance status, and lacks README detail, so supply-chain confidence is limited and code/dependency review is advisable before integration.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "log-mcp-server" yet — see the docs or source repo.
Analyze logs from the Docker container api-service for the last 30 minutes. Filter ERROR and WARN entries, then summarize the main issues, counts, and most likely root causes in timeline order.
A timeline of recent issues, grouped error counts, and a root-cause summary for the container.
Search the local log file /var/log/app/server.log for the keywords timeout, connection reset, and retry failed. Extract relevant context and summarize which endpoints show these issues most often.
Matched log snippets with context, plus a summary of the endpoints most frequently affected.
Summarize today’s application logs related to the payment service. Keep only entries with 5xx status codes or containing failed or exception, and generate a brief ops daily report.
A filtered incident summary, issue trends, and concise conclusions suitable for a daily ops report.
Start, monitor, search, and diagnose project logs to find errors fast.
Give AI read-only logs to debug Linux servers safely without shell access.
Collect and analyze CLI and web server error logs using natural language.
Fetch remote logs by IP, port, and path for faster troubleshooting.
Securely collect and analyze Linux system logs over HTTP or HTTPS.
Query Re.Pack/Rspack dev logs to find build errors and monitor compilation.