One AI API for LLMs, image & video generation — 300+ models
Atlas Cloud is a full-modal AI inference platform: a single API and one account for chat completions,
image generation, and video generation across 300+ curated models (DeepSeek, FLUX, Kling, Qwen…).
With the Anyquery plugin, you can call all of them directly from SQL.
Anyquery is a SQL query engine that allows you to run SQL queries on pretty much anything. It supports querying files, databases, and apps (e.g. Apple Notes, Notion, Chrome, Todoist, etc.). It's built on top of SQLite and uses plugins to extend its functionality.
It can also connect to LLMs (e.g. ChatGPT, Claude, Cursor, TypingMind, etc.) to allow them to access your data.
Finally, it can act as a MySQL server, allowing you to run SQL queries from your favorite MySQL-compatible client (e.g. TablePlus, Metabase, etc.).
Usage
Connecting LLM
LLMs can connect to Anyquery using the Model Context Protocol (MCP). This protocol provides context for LLMs that support it. You can start the MCP server with the following command:
# To be started by the LLM client anyquery mcp --stdio # To connect using an HTTP and SSE tunnel anyquery mcp --host 127.0.0.1 --port 8070
You can also connect to clients that supports function calling (e.g. ChatGPT, TypingMind). Refer to each connection guide in the documentation for more information.
# Copy the ID returned by the command, and paste it in the LLM client (e.g. ChatGPT, TypingMind)
anyquery gptRunning SQL queries
The documentation provides detailed instructions on how to run queries with Anyquery.
But let's see a quick example. Type anyquery in your terminal to open the shell mode. Then, run the following query:
You can also launch the MySQL server with anyquery server and connect to it with your favorite MySQL-compatible client.
anyquery server &
mysql -u root -h 127.0.0.1 -P 8070Installation
The documentation provides detailed instructions on how to install Anyquery on your system. You can install anyquery from Homebrew, APT, YUM/DNF, Scoop, Winget and Chocolatey. You can also download the binary from the releases page.
Quick install (macOS & Linux)
The fastest way to get started. This downloads the right binary for your platform, verifies its checksum, and adds it to your PATH — no sudo required:
curl -fsSL https://anyquery.dev/install.sh | shTo pin a version or install elsewhere, set ANYQUERY_VERSION (e.g. 0.4.5) or ANYQUERY_INSTALL_DIR. To update later, re-run the same command. On Windows, use Scoop, Winget, or Chocolatey (below).
Homebrew
ARCH LINUX (AUR)
# Install using an AUR helper like yay yay -S anyquery-git # paru paru -S anyquery-git
APT
echo "deb [trusted=yes] https://apt.julienc.me/ /" | sudo tee /etc/apt/sources.list.d/anyquery.list sudo apt update sudo apt install anyquery
YUM/DNF
echo "[anyquery] name=Anyquery baseurl=https://yum.julienc.me/ enabled=1 gpgcheck=0" | sudo tee /etc/yum.repos.d/anyquery.repo sudo dnf install anyquery
Scoop
scoop bucket add anyquery https://github.com/julien040/anyquery-scoop scoop install anyquery
Winget
winget install JulienCagniart.anyquery
Chocolatey
Go install
Requires Go 1.26+ (some dependencies don't support older versions).
CGO_ENABLED=1 go install -tags "vtable fts5 sqlite_json sqlite_math_functions" github.com/julien040/anyquery@mainAnyquery relies on cgo (through go-sqlite3), so you need a C compiler (gcc, clang, or a mingw toolchain on Windows) available in your PATH.
Plugins
Anyquery is plugin-based, and you can install plugins to extend its functionality. You can install plugins from the official registry or create your own. Anyquery can also load any SQLite extension.
Sponsors
Anyquery is an independent open-source project. These companies support its development:
License
Anyquery is licensed under the AGPLv3 license for the core engine. The RPC library is licensed under the MIT license so that anyone can reuse plugins in different projects.
The plugins are not subject to the AGPL license. Each plugins has its own license and the copyright is owned by the plugin author. See the LICENSE file for more information.
Contributing
If you want to contribute to Anyquery, please read the contributing guidelines. I currently only accept minor contributions, but I'm open to any suggestions or feedback.
You can have a brief overview of the project in the architecture documentation.




