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Sequa.ai MCP Server

@sequa-ai

基本信息

分类

其他

传输方式

stdio

作者

sequa-ai

提交者

Fabian Emilius

关于 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.

Sequa.ai MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Sequa.ai MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

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

常见问题

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

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