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A local-first MCP server for tracking and reviewing errors systematically.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Errorbook MCP" yet — see the docs or source repo.
Please record this failed API call in Errorbook, including the symptom, root cause, and fix steps, and make sure repeated submissions do not create duplicate entries.
A structured error entry is created or updated without duplicate writes.
Using the issues stored in Errorbook, generate an FSRS-based review schedule and prioritize entries that need review soon.
A review list or plan ordered by spaced-repetition scheduling is produced.
Convert this set of problem notes with mathematical formulas into a printable PDF for offline review and sharing.
A printable PDF of math problems or notes is generated.
Developers debugging MCP agents or related workflows can store errors, causes, and fixes in a local error notebook to build a reusable issue library.
When individuals or teams need to retain common mistakes, they can use FSRS scheduling to review them and reduce repeated errors.
Problem notes involving mathematical expressions can be turned into printable PDFs for offline study, review, or archiving.
It is a local-first error notebook server for MCP agents. It manages problem records and supports FSRS review scheduling, idempotent operations, and printable math PDF generation.
Based on the description, it does more than simple note-taking by focusing on error management workflows, including review scheduling, idempotent writes, and PDF output for math content.
The provided information does not include installation steps, runtime requirements, or key requirements. Please check the source repository for prerequisites.
Collect browser and terminal errors and generate AI summaries for debugging.
Classify MCP errors and provide recovery guidance with actionable retry and state details.
Run dev checks and get compact error summaries for faster debugging.
Track structured reasoning with confidence, branches, and revisions for complex problem solving.
Let AI create, edit, search Markdown notes, and detect conflicts via MCP.
Monitor dev logs and surface runtime errors for instant AI code verification.