claude mcp add querywise-mcp -- npx -y querywise-mcp
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
2 ★ · kosminus/querywise-mcp · read from the repository page · (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list · type: MCP server
Harvest history
first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
Score
score 703 · 2 ★ · 7 sources · mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository kosminus/querywise-mcp;first catalogued 2026-10-09;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
An **MCP server** (and a CLI) that lets an LLM query your databases in natural language through a **business semantic layer** — glossary, metric definitions, data dictionary, knowledge base, and example queries — grounded against your real schema. It's a refactor of QueryWise (a full-stack text-to-SQL app) into a headless tool: no web UI, no Postgres requirement. The metadata store is an embedded **SQLite + sqlite-vec** database, so the server runs from a single file. Two ways to use it 1. **As an MCP server** — Claude (or any MCP client) calls the tools. The recommended loop is: get_semantic_context(connection, question) → the model writes a read-only SELECT → run_sql(connection, sql). The client's own model does the reasoning; the server provides grounded context + safe execution. 2. **As a CLI** — querywise ask " " runs the full server-side NL→SQL pipeline (compose → validate → execute → interpret). This path needs an LLM provider key (or local Ollama). The semantic layer, connectors, and execution are shared by both. Install Configuration is via environment variables / .env (see .env.example). Zero config works for keyword-only operation; add a key (or Ollama) to unlock embeddings and the ask pipeline. Quick start (zero external infra) Run as an MCP server Register with Claude First make sure the store the server will read is initialized (and optionally seeded): > **Use an absolute command path.** MCP clients launch the server with a minimal > PATH, so the bare querywise-mcp often won't resolve. Point at the entry > point inside your venv, e.g. /path/to/.venv/bin/querywise-mcp. > > **The server won't read your repo .env.** It runs from the client's working > directory, so pass everything it needs (DATABASE_URL, provider keys, model) > in the env block below. **Claude Desktop** — edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS), then fully quit and reopen Claude Desktop: **Claude Code** — one command: Note the **four slashes** in the SQLite URL — sqlite+aiosqlite:// (scheme) plus the absolute path /Users/me/.... **Why DEFAULT_LLM_PROVIDER?** It's a *server* setting, not your chat model. Claude is the client LLM — it calls the granular tools and writes the answer, so it needs no provider config. The server only uses a provider for two things: **embeddings** (semantic search over your metadata — optional; degrades to keyword-only without one) and the all-in-one **ask/generate_sql** tools (which run their own LLM). Set it to ollama for key-free local embeddings, or to anthropic/openai (with the matching *_API_KEY in env) if you want to call the server-side ask tool. Omit it entirely to run keyword-only. MCP surface **Tools** (25): list_connections, create_connection, test_connection, introspect_connection, delete_connection, list_tables, describe_table, get_semantic_context, run_sql, generate_sql, ask, query_history, glossary/metric/dictionary/sample-query/knowledge management (list_*/add_*/delete_*, plus add_knowledge_url). **Query paths** — the four tools people mix up: | Tool(s) | LLM key? | What it does | |---|---|---|