"osu!" matching MCP servers:

Enables cross-repository architecture discovery and dependency routing across multi-service codebases, with automated scanning and batch AST indexing for AI agents to trace request lifecycles and navigate service boundaries.

Enables coding agents to search, inspect, and recommend open-source Odoo/OCA modules before writing custom code, with source-backed evidence and version/migration guidance.

Structural memory for coding agents — 60% fewer tokens, refactor-safe, runs entirely on your machine.

Enables scanning Java (Maven) projects for known vulnerabilities via natural language, returning severity-sorted reports with CVSS scores and fix versions.

Provides a memory server for coding agents over MCP, capturing and retrieving the meaning and rationale behind code decisions down to the function level. It enables agents to search product memory, get task context, and propose new memories to avoid re-deriving or re-breaking past decisions.

Enables AI agents to analyze LookML repositories for dead code, PDT costs, schema drift, and migration impact, using offline-first analysis of Looker and BigQuery metadata.

Exposes CodeScene's Code Health analysis as local AI-friendly tools, enabling AI assistants to provide insights on code quality, maintainability, and technical debt directly from the codebase.

Open source intelligence for AI agents — GitHub project-health scoring, package dependency-risk analysis, trending repositories, license checks, and side-by-side package comparison.