github-actions
25 servers · 466★ total
Agent orchestration & security template featuring MCP tool building, agent2agent workflows, mechanistic interpretability on sleeper agents, and agent integration via CLI wrappers
The deterministic merge gate for AI-generated agent capability changes — a local-first, static Tool-Use Readiness review for MCP, OpenAPI, and SDK tool surfaces. Open-source CLI + GitHub Action.
Make AI coding agents safe to scale autonomously: assign work, cap spend, enforce policy, verify output, roll back failures, learn from loops, and prove ROI across every repo.
The enforcement tool for Canonical-Driven Development (CDD). Audit, generate, and guard your project documentation. Zero dependencies.
The testing standard for MCP servers. Lint (14 rules), test, and fuzz over real stdio/SSE/HTTP transport. 18 assertion types in YAML. Found 4,794 schema issues across 55 servers. Any language, no mocks, single binary.
Review-only AI code review for GitHub pull requests. Cross-check PRs with model-agnostic reviewers that can comment inline but cannot approve, merge, or close.
🛡️ The security firewall for AI agent tools & MCP servers (Claude, GPT-5.6, Gemini 3.7, Antigravity, Cursor, Codex, Hermes). Catch command injection, secret theft & toxic flows in <50ms. 100% offline Rust SAST + 1-click auto-fix + SARIF.
Plugin-first AI terminal workspace for Codex and Claude Code with planning, CI/CD debugging, reusable agents, skills, TODOs, and MCP tool integrations.
GitHub security posture analysis for AI agents — 39 MCP tools, 45 checks across org, repos, Actions, secrets, supply chain, and access control
Free, open-source CLI for dependency intelligence, SBOMs, vulnerability auditing, and CI policy gates.
The ultimate AI Agent skillset. An official MCP Server packed with 16 world-class tools to autonomously convert standard markdown into animated, glassmorphic GitHub Profile masterpieces
TypeScript starter template for building Model Context Protocol (MCP) servers, designed to help developers create secure and robust AI-agent-compatible services.
Local-first repo maps for coding agents—ranked files, test routes, risks, CLI/MCP/GitHub Action, and public GitHub URLs.
A safety layer for AI coding agents. CLAUDE.md/AGENTS.md generator, MCP runtime guardrail, pre-commit hook, GitHub Action.
Find the AI tells in your prose. Deterministic, local, runs in CI. MCP server + CLI + Action.
Open-source MCP server giving AI assistants live, natural-language control of real quantum hardware across IBM Quantum, IonQ, and AWS Braket
Mark Siazon — product designer & full-stack developer. A GitHub profile built for humans and machines: JSON-LD structured data, LLM-readable context files, an MCP server, and automated stats & freshness pipelines.
MCP server for GitHub Actions — view runs, read logs, re-run jobs, trigger workflows
MCP server for running Ox Security MegaLinter via mega-linter-runner
Linter for MCP (Model Context Protocol) config files. Python, CLI + library. Supports Claude Desktop, Cursor, Cline, Windsurf, Zed.
Auto-updated index of MCP servers shipping on GitHub, refreshed every 15 minutes
Security linter for environment variables, Docker, CI, Kubernetes, and runtime configuration.
AI-assisted Jira automation that generates tests, runs them in Docker, opens PRs, and reports results back to Jira via MCP.
Local-first MCP server that gives sandboxed Codex a narrow, auditable Git workflow surface.