"osu!" matching MCP servers:

Enables AI agents to submit npm, PyPI, Go, or Maven packages and manifests to the free OSV.dev database and receive per-package and per-advisory results with CVE mappings, CVSS scores, severities, and the versions that fix each issue. It also supports filtering by minimum severity, de-duplicating alias advisories, and machine-readable error/warning rows for CI gates and upgrade recommendations.

Read-only MCP server that exposes the agentic-os governance, SDLC, and Quality Engineering methodology to any MCP host. It never writes to your repository and never executes code — it serves the methodology, plans an install, and verifies it, handing any commands back to the host to run.

Visual CVE audit dashboard for npm, Python, Go, and Rust projects. Scans your project manifests (package-lock.json, requirements.txt, go.sum, Cargo.lock) against OSV.dev live data, opens a browser dashboard for human review, then applies fixes only after explicit confirmation. Supports multi-service monorepos in one command.

The server can be utilized for secure development by listing all packages' CVEs, their affected versions and their fix versions.

Integrates Factifai testing capabilities with MCP-compatible AI tools, enabling asynchronous creation and retrieval of automated tests using AI models from OpenAI or AWS Bedrock.

Enables AI agents to start, control, and verify local open.mp/SA-MP game servers via MCP stdio, using a headless RakClient to send allowed slash commands and assert round-trip responses.

Enables browser automation through Playwright using accessibility tree snapshots instead of screenshots. Supports web scraping, form interactions, testing, and connecting to existing browser sessions with logged-in accounts.

Enables LLMs to automate web browsers using Playwright through structured accessibility snapshots, allowing interaction with web pages without needing vision models.

Enables Claude and other MCP clients to manage Pankow organizations, projects, test cases, and CI/runs, configure AI targets, and run LLM evaluations directly from an agent.

Enables evaluating AI applications, inspecting reliability evidence, and gating releases from development and CI workflows.