Question 1

What is the Hika MCP Server?

Accepted Answer

The Hika MCP Server is a Server-Sent Events (SSE) implementation designed to enhance the Hika AI knowledge search tool. It streams AI-generated perspectives and knowledge extensions in real-time to improve the search experience.

Question 2

What is Hika AI?

Accepted Answer

Hika AI is a knowledge search tool that uses artificial intelligence to provide multiple cognitive perspectives (MCP) on search queries, helping users broaden their understanding and explore related knowledge domains.

Question 3

What are Server-Sent Events (SSE)?

Accepted Answer

Server-Sent Events (SSE) is a web standard that allows a server to push data to a client over a single HTTP connection. This enables real-time updates without the need for the client to continuously poll the server.

Question 4

What are the key features of the Hika MCP Server?

Accepted Answer

Key features include real-time streaming of AI-generated content via SSE, multiple cognitive perspectives, authentication via JWT Bearer tokens, and easy integration with the Hika AI ecosystem.

Question 5

What are the prerequisites for installing the Hika MCP Server?

Accepted Answer

The prerequisites include Node.js (v14.0.0 or higher), an understanding of Server-Sent Events (SSE), and valid Hika AI authentication credentials.

Question 6

How do I install the Hika MCP Server?

Accepted Answer

To install the Hika MCP Server, clone the repository, install dependencies using `npm install`, and configure the environment variables.

Question 7

What environment variables do I need to configure?

Accepted Answer

You need to configure `PORT`, `HIKA_API_URL`, and `JWT_SECRET` in your environment variables.

Question 8

How do I start the Hika MCP Server?

Accepted Answer

You can start the server by running the command `npm start` in the server's directory.

Question 9

How do I connect to the server as a client?

Accepted Answer

You can connect to the server using an EventSource object in JavaScript, providing the server URL and including the Authorization header with your JWT token.

Question 10

What kind of events does the server emit?

Accepted Answer

The server emits events of type `perspective`, `knowledge_extension`, `deep_dive`, and `completion`.

Question 11

What is the format of the event data?

Accepted Answer

The event data is in JSON format, containing the event type and content, such as title, description, and relevance score.

Question 12

How does the server handle authentication?

Accepted Answer

The server uses JWT Bearer tokens for authentication. Tokens should be included in the `Authorization` header of the request.

Question 13

What error codes does the server return?

Accepted Answer

The server may return error codes such as `401` (Unauthorized), `429` (Too Many Requests), and `500` (Internal Server Error).

Question 14

How do I run the server in development mode?

Accepted Answer

You can run the server in development mode using the command `npm run dev`.

Question 15

How do I run the tests?

Accepted Answer

You can run the tests using the command `npm test`.

Question 16

How does the Hika MCP Server integrate with the Hika AI knowledge search tool?

Accepted Answer

The server provides real-time AI-generated perspectives that help users quickly extend their knowledge, explore different viewpoints, and dive deeper into specific topics.

Question 17

What license is the Hika MCP Server released under?

Accepted Answer

The Hika MCP Server is released under the MIT License.

Question 18

How can I contribute to the Hika MCP Server project?

Accepted Answer

Contributions are welcome! Please feel free to submit a Pull Request on GitHub.

Question 19

Where can I get support for the Hika MCP Server?

Accepted Answer

You can contact support@hika.fyi or open an issue on GitHub for support.

Question 20

How does the Hika MCP server integrate with UBOS?

Accepted Answer

Integrating with UBOS allows AI Agents to leverage real-time knowledge streams for contextual understanding, improved decision-making, expanded knowledge base and automated knowledge discovery.

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