Capture codebase decisions as structured priors for coding agents.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Metatron" yet — see the docs or source repo.
Connect Metatron to the current codebase and extract the core implementation conventions: preferred design patterns, explicitly avoided approaches, naming rules, error handling style, and testing habits. Output structured rules that a coding agent can follow directly.
A structured set of repository conventions that helps agents generate code aligned with the existing codebase.
Before adding a 'bulk member import' feature to the user system, use Metatron to retrieve existing implementation decisions related to controller structure, permission checks, async jobs, logging, and exception handling, then generate an implementation plan and code draft accordingly.
An implementation plan and code draft grounded in existing repository decisions, reducing conflicts with the current architecture.
Use Metatron to summarize the payment module's documented edge cases, historically rejected implementation approaches, and default internal handling rules, then format them as 'risk - reason - recommended approach'.
A risk checklist for development and review that helps the team avoid repeated mistakes and maintain implementation consistency.
Browse Metaculus questions and submit forecasts and rationale via API tokens.
Understand repositories, navigate code precisely, and return file-line grounded answers.
Aggregate MCP tools, generate TypeScript typings, and orchestrate cross-server workflows.
Give AI coding agents filesystem, Git, database, and compute tools via MCP.
Provides pre-change technical review, impact analysis, and strategic guidance for code agents.
Give AI coding assistants searchable long-term memory for decisions and discoveries.