Sequa MCP
This repository is the entry point for using Sequa via the Model Context Protocol (MCP). If you arrived here looking to "add Sequa as an MCP server" to Cursor, Claude, Windsurf, VSCode, Cline, Highlight, Augment, or any other MCP‑capable client — you are in the right place.
It gives you a single drop‑in command that bridges STDIO/command MCP transports used by many IDEs today with Sequa’s native streamable HTTP MCP endpoint.
🧱 Prerequisites (Read First!)
Before you configure any AI agent:
Create / sign in to your Sequa account at https://app.sequa.ai/login.
Setup a Project inside the Sequa app.
Inside that project, locate the MCP Setup URLs and select the transport your AI agent supports.
Copy the URL or configuration and install it in your client.
❗ If you skip project creation the MCP server will refuse connections — the proxy can launch but you will receive auth / project errors.
🤔 What is Sequa?
Sequa is a Contextual Knowledge Engine that unifies code, documentation and more across multiple repositories and continuously streams that context to any LLM‑powered agent. By injecting deep, current project knowledge, Sequa enables assistants to:
Execute architecture aware & cross‑repo tasks
Understand project goals and state
Generate more accurate production ready code
Centralize AI coding rules and best practices
🚀 Quick Start (Proxy Launch)
NPX (most common)
Replace the URL if you use an endpoint from the specific project
🔌 IDE / Tool Configuration
Cursor (~/.cursor/mcp.json)
Claude Desktop (Settings → Developer → Edit Config)
Windsurf (~/.codeium/windsurf/mcp_config.json)
VS Code (.vscode/mcp.json)
Cline / Claude Dev Tools (cline_mcp_settings.json)
Highlight AI (GUI → Plugins → Custom Plugin → Add using a command)
Augment Code
Or augment_config.json:
This server cannot be installed
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
Enables AI assistants to access contextual knowledge from multiple repositories through Sequa's Contextual Knowledge Engine. Provides architecture-aware code understanding and cross-repository context for more accurate, production-ready code generation.