"author:johannschiffer" matching MCP servers:

Enables AI coding agents to discover installed host compilers, execute builds in isolated child environments with timeout enforcement, and convert noisy ANSI-laden compiler logs from Python, Rust, C/C++, Node, and Go toolchains into clean structured JSON diagnostics. It also reports toolchain readiness so agents can avoid blind invocations of missing compilers.

Gives AI agents safe, bounded, non-blocking access to Linux sysadmin inspection tasks, including CPU, RAM and disk healthchecks, memory-safe log tailing with regex filtering, and user-level systemd service and timer auditing. All operations run without sudo or unrestricted root shells, avoiding interactive pager hangs and context window flooding.

Enables Python developers to define MCP tools via decorators, auto-generate schemas and tests, and package compliant MCP servers with CLI scaffolding and JSON-RPC 2.0 stdio transport.

Enables multiple AI agents to coordinate in parallel by atomically claiming tasks and transitioning their state, preventing collisions, zombie locks, and duplicated work without external dependencies.

Enables AI agents to safely manage GitHub issues, inspect discussions, create pull requests, and audit GitHub Actions CI status through strict branch-protection guards.

Enables AI coding agents to run sub-millisecond, fully offline CVE lookups and audit dependency manifests such as requirements.txt and package.json against known vulnerable version ranges. It returns CVSS severity details and calculates the minimal safe upgrade version needed to eliminate matching vulnerabilities, without rate limits or API keys.

Enables autonomous AI coding agents to claim exclusive per-domain execution seats, record session handover notes, and validate terminal commands against domain whitelists to prevent concurrency collisions, context loss, and out-of-domain actions.