Sequa.ai
@sequa-ai
Stop stitching context for Copilot and Cursor. With Sequa MCP, your AI tools know your entire codebase and docs out of the box.
概要
What is Sequa.ai?
Sequa.ai is a Contextual Knowledge Engine that unifies code, documentation, and other artifacts across multiple repositories and continuously streams that context to any LLM‑powered agent. It provides a single drop‑in command that bridges the STDIO/command MCP transports used by many IDEs with Sequa’s native streamable HTTP MCP endpoint.
How to use Sequa.ai?
Create or sign in to a Sequa account, set up a project, and copy the MCP Setup URL from the project. Then launch the proxy with npx -y @sequa-ai/sequa-mcp@latest <URL> or configure your IDE using the provided JSON snippets for Cursor, Claude Desktop, Windsurf, VS Code, Cline, Highlight, and Augment.
Key features of Sequa.ai
- Unifies code and documentation across multiple repositories
- Continuously streams current context to any LLM‑powered agent
- Enables architecture‑aware and cross‑repository tasks
- Centralizes AI coding rules and best practices
- Bridges STDIO MCP transports with streamable HTTP
Use cases of Sequa.ai
- Execute architecture‑aware code changes that span multiple repos
- Understand project goals and state for more accurate assistant responses
- Generate production‑ready code with deeper project context
- Maintain and enforce consistent AI coding rules across teams
- Reduce context switching for developers using AI coding assistants
FAQ from Sequa.ai
Why does Sequa.ai refuse connections?
If you skip project creation, the MCP server will refuse connections — the proxy can launch but you will receive authentication or project errors.
What transport does Sequa.ai use?
Sequa.ai bridges
