Hika MCP Server
H

Hika MCP Server

Hika MCP Server is a real-time AI knowledge search service based on the SSE protocol, enhancing the search experience through multi-cognitive perspective streaming.
2 points
4.7K

What is Hika MCP Server?

Hika MCP Server is a tool that supports real-time streaming of AI-generated content, extending your knowledge exploration experience through Multiple Cognitive Perspectives (MCP).

How to use Hika MCP Server?

Simply connect to our SSE endpoint and receive real-time updates to obtain multi-perspective knowledge expansion.

Applicable Scenarios

Suitable for users who need to quickly expand their knowledge domain, explore different viewpoints, or conduct in-depth research on complex topics.

Main Features

Real-time Streaming
Push AI-generated content in real-time through the SSE protocol to ensure instant response.
Multiple Cognitive Perspectives
Provide multiple different perspectives to enrich your understanding of problems.
JWT Authentication
Authenticate through a secure JWT token to protect your access rights.
Seamless Integration
Easily integrate into the Hika AI ecosystem to enhance the overall experience.
Advantages
Get the latest content in real-time
Support multi-perspective thinking
Easy to integrate with other systems
Limitations
Require a stable network connection
There may be limitations on high-concurrency requests

How to Use

Install Dependencies
Clone the project repository and install the required dependencies.
Configure Environment Variables
Set the necessary environment variables to start the server.
Start the Server
Run npm start to start the service.

Usage Examples

Get Background Information on Historical Events
Request multiple cognitive perspectives on a certain historical event.
Get In-depth Analysis
Dig deep into relevant information for specific problems.

Frequently Asked Questions

How to verify if my JWT token is valid?
What should I do if I encounter a 429 error?
How to close the SSE connection?

Related Resources

Official Documentation
Detailed API documentation and guides.
GitHub Repository
Source code and contribution guidelines.
Video Tutorial
Quick start video.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

K
Klavis
Klavis AI is an open-source project that provides a simple and easy-to-use MCP (Model Context Protocol) service on Slack, Discord, and Web platforms. It includes various functions such as report generation, YouTube tools, and document conversion, supporting non-technical users and developers to use AI workflows.
TypeScript
8.3K
5 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
7.9K
5 points
C
Cipher
Cipher is an open-source memory layer framework designed for programming AI agents. It integrates with various IDEs and AI coding assistants through the MCP protocol, providing core functions such as automatic memory generation, team memory sharing, and dual-system memory management.
TypeScript
0
5 points
A
Apple Health MCP
An MCP server for querying Apple Health data via SQL, implemented based on DuckDB for efficient analysis, supporting natural language queries and automatic report generation.
TypeScript
10.7K
4.5 points
M
MCP Server Airbnb
Certified
MCP service for Airbnb listing search and details query
TypeScript
13.6K
4 points
A
Apple Notes MCP
A server that provides local Apple Notes database access for the Claude desktop client, supporting reading and searching of note content.
Python
12.6K
4.3 points
M
MCP Server Weread
The WeRead MCP Server is a lightweight service that bridges WeRead data and AI clients, enabling in - depth interaction between reading notes and AI.
TypeScript
13.2K
4 points
M
MCP Obsidian
This project is an MCP server used to interact with the Obsidian note application through the Local REST API plugin of Obsidian. It provides various tools to operate and manage files in Obsidian, including listing files, retrieving file content, searching, modifying content, and deleting files.
Python
13.9K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
14.8K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
24.8K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
15.6K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
43.4K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
20.3K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
45.6K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
15.0K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
63.1K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase