Playbook: Central Context for Your Agents

AI agents and copilots are transforming software development, but they have a critical limitation: they lack a deep understanding of your specific codebase. An agent might be a brilliant coder in general, but without knowing your system’s architecture, history, and conventions, it’s like a world-class architect trying to renovate a house without the blueprints. They’re powerful, but they’re working blind.

This playbook explains how Sequa provides the “blueprints” for your AI agents, enabling them to perform complex tasks with precision and safety.

The Problem: Agents Without Context

When an AI agent operates on your code, it typically relies on a limited context window or a simple search (Retrieval-Augmented Generation - RAG). This is not enough for complex systems. This approach is prone to errors because the agent doesn’t see the full picture.

They Miss Connections: An agent might add a field to a database model but fail to update the corresponding API endpoint, validation logic, and frontend components because it doesn’t see the full dependency chain.
They Violate Patterns: They may write perfectly functional code that violates your team’s established architectural patterns or coding standards, creating technical debt.
They Can’t Perform Complex Tasks: Anything requiring system-wide changes—like refactoring a core service or migrating a payment provider—is too risky and complex for an agent without deep, reliable context.

The Solution: Sequa MCP

Sequa acts as the central nervous system for your software ecosystem, building a comprehensive knowledge graph of your code. The Sequa Model Context Protocol (MCP) exposes this graph, allowing any AI agent to tap into this deep understanding before it acts.

Instead of just searching, an agent can query the system’s structure to build a complete plan.

Benefits of a Central Context Layer

Unlock Complex Tasks: Enable agents to perform ambitious tasks like refactoring legacy code, migrating libraries, or implementing new, system-wide features.
Increase Accuracy and Safety: Drastically reduce the risk of agents introducing bugs or technical debt by ensuring they operate with full awareness of dependencies and patterns.
Use Any Agent: The Sequa MCP is an open protocol. This means you can connect it to any tool—from off-the-shelf solutions like Cursor to your own custom-built agents and scripts.

Get Started

To begin powering your agents with Sequa’s universal context:

Explore the Sequa MCP Overview to understand how it works.
Learn more about the available MCP tools her: Sequa MCP Tools.
Follow the Sequa MCP Tools guide to connect your tools.

Playbook: Central Context for Your Agents

This playbook explains how Sequa provides the “blueprints” for your AI agents, enabling them to perform complex tasks with precision and safety.

The Problem: Agents Without Context

They Miss Connections: An agent might add a field to a database model but fail to update the corresponding API endpoint, validation logic, and frontend components because it doesn’t see the full dependency chain.

They Violate Patterns: They may write perfectly functional code that violates your team’s established architectural patterns or coding standards, creating technical debt.

They Can’t Perform Complex Tasks: Anything requiring system-wide changes—like refactoring a core service or migrating a payment provider—is too risky and complex for an agent without deep, reliable context.

The Solution: Sequa MCP

Instead of just searching, an agent can query the system’s structure to build a complete plan.

Benefits of a Central Context Layer

Unlock Complex Tasks: Enable agents to perform ambitious tasks like refactoring legacy code, migrating libraries, or implementing new, system-wide features.

Increase Accuracy and Safety: Drastically reduce the risk of agents introducing bugs or technical debt by ensuring they operate with full awareness of dependencies and patterns.

Use Any Agent: The Sequa MCP is an open protocol. This means you can connect it to any tool—from off-the-shelf solutions like Cursor to your own custom-built agents and scripts.