ContextsBase

$5/moStarting price

0Popularity

About ContextsBase

ContextsBase provides an agent-native project workspace designed to replace informal markdown notes with a structured backlog engineered for AI coding agents. It allows users to define features, data models, business rules, and test cases in a single place, which agents can then pull via MCP at the start of each session. This eliminates repetitive specification pasting and reduces guesswork in schema and logic interpretation. The tool supports autonomous iteration by grouping features into iterations that agents claim, build, and test in sequence. It includes a workspace for managing features, user data models, business rules, test cases, design tokens, and page edits. ContextsBase connects to any MCP-compatible agent such as Claude Code, Cursor, Copilot, or Windsurf through a simple configuration block. The platform aims to standardize how projects are handed off to AI agents, ensuring consistency and reducing manual intervention during development cycles.

Key features

Feature and spec management
User data modeling with entities and fields
Business rule definition and assertion
Test case creation with given-when-then format
Design token management for colors, typography, and spacing
Page editing with agent execution
MCP server integration for agent communication
Iteration grouping and autonomous task execution

Use cases

Structuring AI coding projects for autonomous execution
Maintaining consistent specifications across agent sessions
Managing feature development with defined data models and rules

Pros

Structures backlogs specifically for AI agent execution
Supports autonomous iteration with ordered feature building and testing
Integrates with any MCP-compatible agent via a single configuration
Includes features, data models, business rules, and test cases in one workspace
Free tier available for one project

Cons

Free tier limited to one project
Premium pricing details not fully disclosed on homepage
Requires MCP-compatible agent for full functionality

Frequently asked questions about ContextsBase

What is ContextsBase and what does it do?

ContextsBase is an agent-native project workspace designed to replace informal markdown notes with a structured backlog engineered for AI coding agents. It allows users to define features, data models, business rules, and test cases in a single place, which agents can pull via MCP at the start of each session to reduce guesswork and repetitive specification pasting.

Who is ContextsBase for?

ContextsBase is for developers and teams who use AI coding agents like Claude Code, Cursor, Copilot, or Windsurf. It is particularly useful for those looking to standardize project hand-offs to AI agents, ensuring consistency and reducing manual intervention during development cycles.

How does ContextsBase work with AI agents?

ContextsBase connects to any MCP-compatible agent through a simple configuration block. Agents claim, build, and test features in sequence by pulling structured specifications, data models, business rules, and test cases directly from the workspace via MCP.

What are the key components of the ContextsBase workspace?

The workspace includes features and specs, business rules, user data models, test cases, design tokens, and page edits. These components provide everything an agent needs to build autonomously without guessing schemas or missing business logic.

Does ContextsBase support autonomous iteration?

Yes, ContextsBase supports autonomous iterations by allowing users to group features into an iteration. Agents can then claim, build, and test these features in order, streamlining the development process.

What is the pricing model for ContextsBase?

ContextsBase offers a free tier for one project, which includes 100 features and 3 members. A premium plan is coming soon with unlimited projects, features, and members.