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Sequa.ai MCP Server

@sequa-ai

Repository

Basic information

Category

Other

Transports

stdio

Author

sequa-ai

Submitted by

Fabian Emilius

About Sequa.ai MCP Server

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

Sequa.ai MCP Server 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"
      ]
    }
  }
}

Sequa.ai MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

Fetch the live tool list by running this server in a temporary sandbox using the button above.

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

Frequently asked questions

1

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.

2

What transport does Sequa.ai use?

Sequa.ai bridges

Comments

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