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 minimal OpenRAG installation: assesses existing setup, drafts requirements.md/todo.md, configures Docker/uvx, verifies localhost:3000/:5001/docs.
Guides building high-quality MCP servers in Python (FastMCP) or Node/TypeScript (MCP SDK) for LLMs to interact with external APIs via agent-optimized tools.