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QueryView

A local SQL workbench for ClickHouse, Postgres and DuckDB — and a place to let an AI agent do the querying for you.

Everything happens at one prompt: type connect prod to open a database, query to run SQL, explorer to click through tables, dashboard to open a saved dashboard. Saved queries and dashboards live in workspaces that can back themselves up to a git remote. A built-in MCP server lets an agent run read-only queries, push a query or a whole dashboard into your open browser tab, and snapshot your work to git.

QueryView is a single-user tool that runs on your own machine. It has no login and assumes it is reachable only from localhost — don't expose its port.

Quick start

Run the released package — API + bundled SPA on http://localhost:8000:

uvx queryview

--port (or the PORT env var) picks the listen port, default 8000: uvx queryview --port 9000.

Or run the container image — every release publishes ghcr.io/kolodkin/queryview to GHCR for linux/amd64 and linux/arm64, tagged vX.Y.Z and (for non-pre-releases) latest:

docker run -p 8000:8000 ghcr.io/kolodkin/queryview:latest

To serve on a different host port, remap it (the container keeps listening on 8000, which its healthcheck probes): docker run -p 9000:8000 .... QueryView expects to be reached from localhost only, so prefer binding the published port to loopback: docker run -p 127.0.0.1:8000:8000 ....

The command above keeps its state inside the container, so connections and workspaces are lost when the container is removed. See Run with Docker for a persistent setup.

What you can do

Open http://localhost:8000 and type into the prompt:

Command What happens
new clickhouse / new postgres / new duckdb Create a connection — host, port and credentials, or a file path for DuckDB. Passwords are encrypted at rest.
connect <name> Open a saved connection and pick a database — that opens the explorer. The last one reconnects automatically next time.
query Run SQL: paginated results, column picker, save/load reusable queries, download the page as CSV.
explorer Browse tables without typing SQL — a sidebar of tables with row/size estimates, click to page through rows.
dashboard [name] Open a saved dashboard: an HTML layout that re-runs its queries against live data every time you open it.

Beyond the prompt:

  • Workspaces group your saved queries and dashboards, and each can sync to its own git remote for backup, history and restore — workspace.md, gitsync.md.
  • YAML export/import moves a single query, a dashboard, or a whole workspace between instances with no git involved — export-import.md.
  • MCP lets an agent query your databases and author dashboards — see below.

Run with Docker

The image runs as the non-root user queryview (UID 1000) and sets DATA_DIR=/var/lib/queryview, so every piece of state lives directly under that one directory:

Path Contents
/var/lib/queryview/db.sqlite SQLite store: connections, workspaces, queries, dashboards
/var/lib/queryview/encryption.key Key that encrypts stored connection passwords
/var/lib/queryview/gitsync/ Local clones used by workspace git sync

Mount a volume at /var/lib/queryview and all three persist across container restarts, removals and upgrades.

Persisting it

mkdir -p ~/.queryview
docker run -d --name queryview \
  -p 127.0.0.1:8000:8000 \
  -v ~/.queryview:/var/lib/queryview \
  ghcr.io/kolodkin/queryview:latest

Create the directory first so Docker doesn't create it owned by root. The container runs as UID 1000, the first user on most Linux distributions; if id -u prints something else, add --user "$(id -u):$(id -g)" so the container writes the files as you.

~/.queryview is also where a local uvx queryview keeps its state, so the container and a local run share one database, key and set of clones with no extra setup. Don't run both at once: each would serve the same SQLite file.

To let Docker own the location instead, swap the path for a named volume, -v queryview-data:/var/lib/queryview. Docker seeds it from the image, so ownership is already right and there is nothing to create up front, but the state no longer lines up with a local run.

Git sync

The image ships git, so workspace git sync works in the container, and its clones live under /var/lib/queryview/gitsync/, which the mount above already covers. Give the workspace an HTTPS remote carrying a scoped, expiring token — docs/gitsync.md has the URL form and what becomes of the credential.

SSH also works, but nothing in the container can answer a prompt: the key must be passphrase-free and known_hosts must already list the host. Mount one dedicated deploy key, not your whole .ssh, readable by UID 1000:

docker run -d --name queryview \
  -p 127.0.0.1:8000:8000 \
  -v ~/.queryview:/var/lib/queryview \
  -v ~/.ssh/queryview_deploy:/home/queryview/.ssh/id_ed25519:ro \
  -v ~/.ssh/known_hosts:/home/queryview/.ssh/known_hosts:ro \
  ghcr.io/kolodkin/queryview:latest

MCP server

The backend mounts a FastMCP server (Streamable HTTP) at http://localhost:8000/mcp/. There is nothing extra to start — it runs inside the server process (uvx queryview, npm run dev, ...). Registering the client is a separate, one-time step on the machine running the agent: an HTTP MCP server can't install itself into someone else's client.

claude mcp add --transport http queryview http://localhost:8000/mcp/

Three things to get right:

  • Prefer the trailing slash. The mount serves /mcp/. The slashless /mcp also works — it 307-redirects — but registering the canonical path skips a round trip on every call.
  • Match the port. The URL must point at the port QueryView actually listens on — --port 9000 means http://localhost:9000/mcp/, and docker run -p 9000:8000 means the host port, 9000, not the container's 8000.
  • Start QueryView first. The client dials this URL when it starts; if nothing is listening it reports a connection error and stays failed until you reconnect it.

QueryView is a local, single-user tool: it assumes it is reachable only from localhost. /mcp/ is unauthenticated, and its tools can query every configured connection and rewrite workspace git state, so don't publish the port. Bind the container to loopback — docker run -p 127.0.0.1:8000:8000 ... — since a plain -p 8000:8000 listens on all interfaces.

Tools: run_query (read-only SQL, rows returned to the agent), push_query and push_dashboard (fill a live browser session), list_queries / list_dashboards, and git_store / git_history / git_restore (workspace git backups). The push tools target an armed browser session: enable "Allow remote control" from the agent icon next to the connection pill and use the session id it shows. See docs/remote.md for the full protocol.

Where your data lives

All state lives in one data directory, ~/.queryview on every OS, relocated with DATA_DIR. Inside are the SQLite store db.sqlite, the local password-encryption key encryption.key, and the workspace git-sync clones under gitsync/. Back that directory up — or give each workspace a git remote and let git sync do it.

Documentation

Contributing

Development setup, tests and the release process are in CONTRIBUTING.md.

License

MIT.

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