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.
@sequa-ai
基本信息
Stop stitching context for Copilot and Cursor. With Sequa MCP, your AI tools know your entire codebase and docs out of the box.
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。
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.
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.
If you skip project creation, the MCP server will refuse connections — the proxy can launch but you will receive authentication or project errors.
Sequa.ai bridges
Painless E2E Automation for Mobile and Web
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
PickFu MCP is a Model Context Protocol (MCP) server that connects AI assistants, developers, marketers, product managers, and AI agents to PickFu's consumer research platform. It enables users to create surveys, conduct

DeepMark helps teachers deliver rapid, consistent marking with meaningful feedback for every student — in a fraction of the time. What once took a week, now takes one free period.

Handl speaks the Model Context Protocol. Your whole billing operation — projects, invoices, clients, reports, approvals — as tools any AI assistant can call, inside your autonomy rules.
评论