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Search, list, and read date-organized markdown logs with natural-language queries.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mdlog-mcp" yet — see the docs or source repo.
Search the markdown logs from the past three months for notes related to "database connection timeout" and list the dates and summaries.
A list of matching log entries with dates and short summaries for quick review.
List the log files for each day last week and read the parts mentioning "release" or "retrospective."
A list of last week's logs plus extracted passages that mention the requested topics.
Find content about "user feedback" in past note digests and organize it chronologically.
Chronologically ordered matching digests that help track how the topic evolved.
Developers or researchers can query past markdown logs in natural language to quickly recover records of issues, ideas, or events. It is useful when notes are numerous and organized by date.
When users know the approximate time range but not the exact filename, they can list logs for that period and then read relevant entries. This makes browsing date-organized notes more efficient.
Writers or knowledge workers can search historical digests for a topic and organize the related clues over time. This is useful for retrospectives, research reviews, or source gathering.
It is an MCP server that provides read-only tools to search, list, and read date-organized markdown logs. It supports natural-language queries over past notes and digests.
Based on the description, it provides read-only tools, so it is meant for searching, listing, and reading rather than editing files. For exact behavior, see the source repository.
The provided material does not include installation steps, runtime requirements, or key information. See the source repository for prerequisites.
Save immutable, versioned Markdown reports from AI coding agents into md-log.
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Tail, search, filter, and summarize logs from files and Docker containers.
Start, monitor, search, and diagnose project logs to find errors fast.
Turn Markdown files into local MCP servers to define and run tools.