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Server Hika MCP Server

@atlas-comstock

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

atlas-comstock

提交者

HioHio Jio

关于 Server Hika MCP Server

暂无概览

#mathgpt#math-solver#math-assistant

Server Hika 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": {
    "server-hika": {
      "command": "#",
      "url": "https://hika.fyi/api/mcp/sse",
      "env": {
        "HIKA_AUTH": "Bearer please find the auth header in hika.fyi"
      }
    }
  }
}

Server Hika MCP Server 工具

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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,直接连接服务器端点实时获取工具列表。

概览

What is Server Hika?

Server Hika is a Server-Sent Events (SSE) implementation for the Hika AI knowledge search tool. It streams real-time AI-generated cognitive perspectives and knowledge extensions to enhance search queries.

How to use Server Hika?

Clone the repository, run npm install, configure environment variables (PORT, HIKA_API_URL, JWT_SECRET), then start with npm start. Client applications connect via EventSource to https://hika.fyi/api/mcp/sse with a JWT Bearer token in the Authorization header.

Key features of Server Hika

  • Real-time AI content streaming via SSE protocol
  • Multiple cognitive perspectives for knowledge exploration
  • Authentication via JWT Bearer tokens
  • Easy integration with the Hika AI ecosystem

Use cases of Server Hika

  • Quickly extend knowledge into related domains
  • Explore different viewpoints on the same question
  • Dive deeper into specific aspects of complex topics

常见问题

1

How does Server Hika authenticate clients?

Authentication uses JWT Bearer tokens. The token must be sent in the `Authorization` header as `Bearer <token>`.

2

What are the prerequisites to run Server Hika?

Node.js v14.0.0 or higher, understanding of Server-Sent Events, and valid Hika AI authentication credentials are required.

3

How do I start the Server Hika server?

Run `npm start` after installing dependencies and setting environment variables.

4

What types of events does Server Hika emit?

The server emits four event types: `perspective`, `knowledge_extension`, `deep_dive`, and `completion` (end of stream).

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