Sequa.ai
@sequa-ai
关于 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.
基本信息
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"
]
}
}
}工具
未检测到工具
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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
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
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