Sequa.ai

Name: Sequa.ai
Author: sequa-ai

@sequa-ai

About 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.

#development #context-engineering #documentation

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "sequa": {
      "command": "npx",
      "args": [
        "-y",
        "@sequa-ai/sequa-mcp@latest",
        "https://mcp.sequa.ai/v1/setup-code-assistant"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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

Comments

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