data-ai MCP Server
Professional-grade AI coding toolkit: 94 skills, 44 agents, multi-platform (Claude, Cursor, Windsurf, Copilot, Gemini, Cline, Roo Code, Aider, Augment, Antigravity, Codex CLI, opencode).
Discovered via github-topic:mcp and last synced 3mo ago.
Install instructions not detected yet
Check the source repository for the latest setup steps.
Specialized agents across 10 categories
Count
Slash commands: `/commit`, `/build`, `/deploy`, `/test`, `/mcp-builder`, ...
`~/.codeium/.../global_rules.md` + `.windsurf/rules/*.md`
`AGENTS.md` + `.opencode/{agents,commands,plugins}/*` + `opencode.json`
Language-specific and custom rules injected into your configs
Domain knowledge auto-loaded by agents
Config Files
Purpose
Slash commands with agent knowledge base
`~/.augment/rules/*.md` + `.augment/rules/ai-toolkit-*.md`
Domain knowledge auto-loaded by agents (includes 13 `<lang>-rules` skills)
`~/.aider.conf.yml` + `.aider.conf.yml` + `CONVENTIONS.md`
### `/workflow` Types ``` feature-development backend-feature frontend-feature api-design database-evolution test-coverage security-audit codebase-onboarding spike debugging incident-response performance-optimization infrastructure-change application-deploy proactive-troubleshooting ``` ### Multi-Agent Skill Selection ``` Need multi-agent coordination? ├── Know your domains? → /orchestrate (ad-hoc, 3-6 agents) ├── Have a known pattern? → /workflow <type> (15 templates) ├── Need consensus/map-reduce? → /swarm <mode> ├── Want Agent Teams API? → /teams (experimental) └── Executing a plan? → /subagent-development ``` --- ## Getting Started 1. **Customize CLAUDE.md** — add your project's tech stack, commands, and conventions at the top (above toolkit markers). 2. **Start using skills:** ``` /onboard # guided setup interview /explore # understand your codebase /plan # plan a feature ``` 3. **Verify your install:** ```bash ai-toolkit validate ``` --- ## Documentation
Slash commands with agent knowledge base