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FeaturesHow It WorksPlansBlog
Documentation
Overview
Concepts & architecture
Getting Started
Workspace, project, context, and tokens
API Reference
Backend routes, auth, and models
MCP Integration
MCP clients, agents, and workspace tools
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FAQ
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StellaryStellary

The multi-agent command center for teams that ship.

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Overview
Guide
  • User Guide
  • Board & Cards
  • Knowledge Base
  • Cockpit & Command Center
  • AI Project Wizard
  • AI Agents & MCP
  • Automations
  • Team & Collaboration
Developers
  • Getting Started
  • API Reference
  • MCP Integration
Documentation

Stellary Documentation

Stellary documentation covers AI project management, delivery workspaces, shared project context, pilotage, REST routes, and the built-in MCP server used by external AI clients. It is organized around the real product model instead of a generic SaaS template.

Start with the user guides if you want to run projects, documents, and cockpit workflows in the app. Jump to the developer docs if you need API tokens, REST integration, or the MCP layer for Cursor, Claude Code, and other AI coding clients.

User Guide

These guides focus on operating Stellary inside the product: structuring delivery, adding context, steering work, and collaborating across the workspace.

User Guide

Operate Stellary day to day: delivery workspaces, project boards, documents, pilotage, and collaboration.

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Board & Cards

Work with projects, scopes, cards, comments, attachments, custom fields, and the main delivery views.

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Documents & Context

Create workspace, project, and scope documents, then link them back to delivery work as shared context.

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Pilotage

Follow priorities, missions, decisions, proposed actions, and dashboard signals for workspace steering.

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Agents & MCP

Configure workspace agents, review proposals, run missions, and connect external AI clients through MCP.

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Team & Governance

Understand invitations, roles, permissions, and the operating model across organizations and workspaces.

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Developers

Use these pages when you need to integrate with Stellary from code, external AI clients, or internal automation. The fastest path is usually Getting Started, then the MCP guide or API Reference depending on whether the caller is an AI client or a traditional service.

Getting Started

Create a workspace, launch a first project, add context, and prepare agents or integrations.

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API Reference

REST route reference aligned with the backend: auth, workspaces, delivery, documents, agents, pilotage, billing, and MCP.

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MCP Integration

Connect Cursor, Claude, or another MCP client to the same workspace data used by the product.

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Core Concepts

Organization -> Workspace -> Project

Signing up creates a personal organization and a personal workspace. From there, most product routes descend through workspace resources into projects, scopes, cards, and documents.

Delivery Model

Projects are the main delivery container. Inside them, scopes, cards, comments, attachments, labels, and custom fields keep execution structured without leaving the workspace.

Documents As Context

Documents can live at organization, workspace, project, or scope level. Supported types include document, spreadsheet, spec, brief, ADR, note, reference, and template.

Agents & Runtime

Workspace agents can run direct objectives, launch card missions, use MCP, and submit proposals before sensitive changes are applied.

Pilotage

Pilotage centralizes dashboard signals, priorities, missions, decisions, proposed actions, and portfolio views for workspace-level steering.

Platform Extension

Plugins, skills, pipelines, project automations, and AI-assisted project drafts extend the platform around the core delivery model.

Layered Access

Access is layered by surface: organization, workspace, project, and pilotage each have their own roles, while workspace permissions cover projects, scopes, tasks, documents, AI, plugins, skills, and pipelines.

Access Model

Stellary separates structural roles from feature permissions so teams can share a workspace without everyone having the same operational reach.

SurfaceRolesWhat it usually controls
Organizationowner, admin, memberTenancy, high-level membership, and billing entry points
Workspaceowner, admin, memberProjects, documents, agents, pipelines, automations, settings, and permissions
Projectowner, member, agentDelivery objects inside a project, including cards, comments, and execution flows
Pilotageviewer, reviewer, ownerAccess to cockpit review and steering surfaces

At workspace level, permission categories also cover workspace settings, projects, scopes, tasks, documents, comments and attachments, AI features, plugins, skills, and pipelines.

Recommended Reading

These are the best next stops if you want a clearer picture of how AI project management, shared context, and Model Context Protocol workflows fit together in Stellary.

Getting Started

Set up a first workspace, project, document tree, pilotage flow, agent, and token in the right order.

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MCP Integration

Understand the built-in MCP server, client setup, identity model, queued missions, and approvals.

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API Reference

Browse the real REST surface for auth, delivery, documents, agents, pilotage, billing, and MCP.

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What Is AI Project Management?

A broader guide for teams evaluating how AI changes prioritization, delivery, and project steering.

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Why Context Matters for AI

See why documents, cards, decisions, and shared project memory matter for reliable AI execution.

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What MCP Changes for AI Coding Tools

A timely look at how MCP changes context access, tool execution, and real AI workflows in 2026.

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Need Help?

Check the FAQ for common questions, browse the blog for broader guides, or contact the team at support@stellary.co.