Server Hika

Name: Server Hika
Author: atlas-comstock

@atlas-comstock

リポジトリ

Server Hika について

概要はまだありません

#mathgpt #math-solver #math-assistant

基本情報

カテゴリ

その他

トランスポート

stdio

公開者

atlas-comstock

投稿者

HioHio Jio

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

FAQ from Server Hika

How does Server Hika authenticate clients?

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

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.

How do I start the Server Hika server?

Run npm start after installing dependencies and setting environment variables.

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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