Sequa MCP: Overview

Connect Sequa to Your Favorite AI Tools

The Sequa Model Context Protocol (MCP) allows you to connect Sequa’s deep understanding of your codebase to any MCP-enabled AI application. Instead of relying on generic AI models that lack project-specific knowledge, you can provide your AI assistants with the same rich, up-to-date context that Sequa uses.

This means your AI tools can finally understand your project’s unique architecture, dependencies, and coding patterns, leading to more accurate, relevant, and powerful assistance.

The Power of Grounded AI

Generic AI models are powerful, but they lack the specific context of your software projects. They don’t know your coding standards, the intricate dependencies between your microservices, or the history behind a critical piece of legacy code. This leads to generic suggestions and a constant, frustrating loop of re-explaining context.

Sequa MCP solves this by acting as a universal context layer for your AI tools. It pre-processes and structures your project’s knowledge, making it instantly and securely available to any compatible AI assistant.

With Sequa MCP, you can:

Unify Your Product Context: Grant AI assistants a holistic view of your entire product—including all code repositories, documentation, and tickets—to eliminate repetitive manual explanations.
Bring Deep Knowledge Anywhere You Work: Seamlessly integrate Sequa with your IDE, CLI, and other tools, placing powerful, cross-repository context directly into your existing workflows.
Power Truly Autonomous Agents: Equip AI agents with the grounded, comprehensive product understanding required to perform complex development, analysis, and maintenance tasks independently.

How It Works: A Centralized Knowledge Hub

Sequa continuously indexes your connected codebases, documentation, and other sources, building a comprehensive and always up-to-date model of your software projects. The Sequa MCP service then exposes this knowledge securely through the open-source Model Context Protocol.

When an MCP-enabled tool (like an IDE extension or a custom script) connects to your Sequa Product, it gains immediate access to the same powerful context available within the Sequa application.

The MCP service acts as a secure gateway, authenticating requests and ensuring that only authorized users and tools can access your product’s context.

Next Steps

Ready to connect your AI tools to Sequa? Follow our MCP Setup Guide to see Sequa MCP Examples.

Connect Sequa to Your Favorite AI Tools

This means your AI tools can finally understand your project’s unique architecture, dependencies, and coding patterns, leading to more accurate, relevant, and powerful assistance.

The Power of Grounded AI

With Sequa MCP, you can:

Unify Your Product Context: Grant AI assistants a holistic view of your entire product—including all code repositories, documentation, and tickets—to eliminate repetitive manual explanations.

Bring Deep Knowledge Anywhere You Work: Seamlessly integrate Sequa with your IDE, CLI, and other tools, placing powerful, cross-repository context directly into your existing workflows.

Power Truly Autonomous Agents: Equip AI agents with the grounded, comprehensive product understanding required to perform complex development, analysis, and maintenance tasks independently.

How It Works: A Centralized Knowledge Hub

When an MCP-enabled tool (like an IDE extension or a custom script) connects to your Sequa Product, it gains immediate access to the same powerful context available within the Sequa application.

The MCP service acts as a secure gateway, authenticating requests and ensuring that only authorized users and tools can access your product’s context.