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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 and DataNodes
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 persistence
mainsequence.client: API client models for projects, jobs, data node storages, sharing, and platform resources
mainsequence.cli: the mainsequence command-line interface

Repository areas:

docs/: knowledge guides, CLI docs, and generated reference docs
tests/: automated tests

Documentation map

The documentation is organized into three reading modes:

Knowledge: deeper conceptual guides
CLI: command-focused operational documentation
Reference: generated API reference

Recommended entry points:

Beginner tutorial:
- MainSequence SDK tutorial Project
Knowledge:
CLI:
- CLI Overview

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 DataNode as 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 separate canonical tutorial Project linked above

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 the mainsequence --help command 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.

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