Main Sequence Python SDK
The Main Sequence Python SDK is the client and development toolkit for the Main Sequence platform.
The Main Sequence platform allows you to:
- rapidly build and deploy data products and data workflows as a unified API with normalized table contracts through
MetaTables andDataNodes - rapidly deploy RBAC-enabled dashboards on the platform
- rapidly deploy agents using the Google Agent SDK
The key idea is that you can focus on development and deployment, while the platform handles the DevOps layer.
Project Status
- Status: actively maintained
- Last commit:
2026-03-27-6aa5dea-docs logo fix v.3.17.6 - Open issues: GitHub Issues
- Documentation: Documentation Site
- Security policy: SECURITY.md
- Release history: CHANGELOG.md
What this repository contains
This repository contains the SDK and the documentation used to build and operate Main Sequence projects.
Main package areas:
mainsequence.meta_tables:MetaTables,DataNodes, update workflows, and persistencemainsequence.client: API client models for projects, jobs, data node storages, sharing, and platform resourcesmainsequence.cli: themainsequencecommand-line interface
Repository areas:
docs/: tutorials, knowledge guides, CLI docs, and generated reference docsexamples/: worked examples and usage patternstests/: automated tests
Documentation map
The documentation is organized into four reading modes:
- Tutorial: the guided learning path
- Knowledge: deeper conceptual guides
- CLI: command-focused operational documentation
- Reference: generated API reference
Recommended entry points:
- Tutorial:
- Knowledge:
- CLI:
Quick start
Install the package:
pip install mainsequence
Authenticate:
mainsequence login
An already MCP-authenticated coding agent can establish the same persisted CLI
session with mainsequence login --mcp, then call the printed
auth.cli_authorize tool while the command waits. The backend supplies the
callback URI; tokens return directly to the CLI and are never exposed through
MCP.
Check that you can see your projects:
mainsequence project list
Create a new project:
mainsequence project create my-first-project
Set it up locally:
mainsequence project set-up-locally <PROJECT_ID>
cd my-first-project
mainsequence project build_local_venv --path .
From there, the normal learning path is:
- model your first canonical table with a backend-managed
MetaTable - create your first
DataNodeas an opinionated MetaTable-backed update workflow - understand sharing and RBAC for published tables
- add an API or another application surface
- schedule jobs
- build dashboards or downstream consumers
- package the project as an agent-facing surface when the repository is ready
Installation for development
This repository uses pyproject.toml and a development dependency group.
With uv:
uv sync --group dev
Or with pip, install the package and the docs/test tools you need separately.
Common development commands
Run the CLI:
mainsequence --help
Run tests:
pytest
Serve the docs locally:
mkdocs serve
Build the docs:
mkdocs build
Lint the code:
ruff check .
Format the code:
black .
How to read this repository
If you are evaluating the platform:
- start with the tutorial in
docs/tutorial/
If you are building a feature and already know the area:
- go straight to the relevant guide in
docs/knowledge/
If you are operating projects day to day:
- use
docs/cli/and themainsequence --helpcommand tree
If you need the exact SDK surface:
- use
docs/reference/
Package metadata
- Package name:
mainsequence - Python:
>=3.13 - CLI entry point:
mainsequence
Project metadata is defined in pyproject.toml.
License
This repository is distributed under the terms described in LICENSE.
1 maintainer
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