From tea-rags-setup
Automated install wizard for TeaRAGs MCP server. Detects environment, installs Node.js, tea-rags, Ollama/ONNX, Qdrant, tunes performance, configures MCP server. Resumable via progress file.
How this skill is triggered — by the user, by Claude, or both
Slash command
/tea-rags-setup:installThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Automated install + config of TeaRAGs MCP server.
Automated install + config of TeaRAGs MCP server.
steps/reference.md for lookup tables (recommendations, version managers, env
vars, defaults)All scripts in ${CLAUDE_PLUGIN_ROOT}/scripts/setup/.
First: determine OS to select script set.
Run uname -s (or via Bash tool)
unix/ scripts (.sh)unix/ scripts (Git Bash)windows/ scripts (.ps1)Store chosen prefix (e.g. SCRIPTS="${CLAUDE_PLUGIN_ROOT}/scripts/setup/unix"),
use for all subsequent script calls.
| Step | File | What it does |
|---|---|---|
| 0 | steps/step-0-progress.md | Check/init progress file |
| 1 | steps/step-1-detect.md | Detect environment, save to progress |
| 2 | steps/step-2-node.md | Install Node.js 24+ |
| 3 | steps/step-3-tea-rags.md | Install tea-rags package |
| 4 | steps/step-4-embedding.md | Choose & install embedding provider |
| 5 | steps/step-5-qdrant.md | Choose & setup Qdrant |
| 6 | steps/step-6-tune.md | Tune performance parameters |
| 7 | steps/step-7-git.md | Configure git analytics |
| 8 | steps/step-8-configure.md | Configure MCP server |
| 9 | steps/step-9-register.md | Register project alias (before index) |
| 10 | steps/step-10-verify.md | Verify setup |
Reference: reference.md — recommendation tables, version manager options,
env vars, tune defaults.
If a script fails (exit code 1):
/tea-rags-setup:install — resumes from failed stepCommon issues to check:
export HTTP_PROXY=http://proxy:port HTTPS_PROXY=http://proxy:port"source ~/.bashrc / source ~/.zshrc)/tea-rags:index after restart. (Step 9 registers
alias only — records path mapping, does NOT index.)npx claudepluginhub artk0de/tearags-mcp --plugin tea-rags-setupBenchmarks hardware and tunes performance parameters for TeaRAGs (embedding throughput, Qdrant storage, pipeline concurrency, git trajectory). Useful when indexing is slow or to find optimal batch sizes.
Plans and executes a minimal OpenRAG installation: drafts requirements, tracks tasks, configures docling-serve, and verifies local services at localhost:3000 and localhost:5001/docs.
Guides building MCP servers that enable LLMs to call external services. Covers agent-centric design, protocol research, and implementation in Python or Node/TypeScript.