HyperChat

HyperChat

By BigSweetPotatoStudio GitHub

HyperChat is a Chat client that strives for openness, utilizing APIs from various LLMs to achieve the best Chat experience, as well as implementing productivity tools through the MCP protocol.

agent mcp
Overview

What is HyperChat?

HyperChat is an open-minded chat client that utilizes APIs from various large language models (LLMs) to provide an optimal chat experience and implement productivity tools through the Model Context Protocol (MCP).

How to use HyperChat?

To use HyperChat, configure your API key to ensure compatibility with OpenAI-style LLM services, and install the necessary dependencies like uv and nodejs on your system.

Key features of HyperChat?

  • Supports multiple LLMs including OpenAI, Claude, Qwen, and more.
  • Built-in MCP plugin marketplace for easy installation and configuration.
  • Supports dark mode and multiple languages (English and Chinese).
  • Features like Agent for preset prompts, scheduled tasks, and multi-conversation support.

Use cases of HyperChat?

  1. Engaging in conversations with various LLMs for diverse responses.
  2. Utilizing productivity tools for task management and scheduling.
  3. Customizing chat experiences with third-party MCPs.

FAQ from HyperChat?

  • Can I use my own LLM with HyperChat?

Yes! HyperChat supports custom LLMs as long as they are compatible with the OpenAI style.

  • Is HyperChat free to use?

Yes! HyperChat is free to use for everyone.

  • What platforms does HyperChat support?

HyperChat supports both Windows and MacOS.

Overview

What is HyperChat?

HyperChat is an open-minded chat client that utilizes APIs from various large language models (LLMs) to provide an optimal chat experience and implement productivity tools through the Model Context Protocol (MCP).

How to use HyperChat?

To use HyperChat, configure your API key to ensure compatibility with OpenAI-style LLM services, and install the necessary dependencies like uv and nodejs on your system.

Key features of HyperChat?

  • Supports multiple LLMs including OpenAI, Claude, Qwen, and more.
  • Built-in MCP plugin marketplace for easy installation and configuration.
  • Supports dark mode and multiple languages (English and Chinese).
  • Features like Agent for preset prompts, scheduled tasks, and multi-conversation support.

Use cases of HyperChat?

  1. Engaging in conversations with various LLMs for diverse responses.
  2. Utilizing productivity tools for task management and scheduling.
  3. Customizing chat experiences with third-party MCPs.

FAQ from HyperChat?

  • Can I use my own LLM with HyperChat?

Yes! HyperChat supports custom LLMs as long as they are compatible with the OpenAI style.

  • Is HyperChat free to use?

Yes! HyperChat is free to use for everyone.

  • What platforms does HyperChat support?

HyperChat supports both Windows and MacOS.

No tools information available.
School MCP
School MCP by 54yyyu

A Model Context Protocol (MCP) server for academic tools, integrating with Canvas and Gradescope platforms.

canvas mcp
View Details
repo-template
repo-template by loonghao

A Model Context Protocol (MCP) server for Python package intelligence, providing structured queries for PyPI packages and GitHub repositories. Features include dependency analysis, version tracking, and package metadata retrieval for LLM interactions.

-

google-calendar mcp
View Details
strava-mcp
strava-mcp by jeremysilva1098

MCP server for strava

strava mcp
View Details

Model Context Protocol (MCP) server implementation for Rhinoceros/Grasshopper integration, enabling AI models to interact with parametric design tools

grasshopper mcp
View Details

MCP configuration to connect AI agent to a Linux machine.

security mcp
View Details

AI assistant built with Streamlit, NVIDIA NIM (LLaMa 3.3:70B) / Ollama, and Model Control Protocol (MCP).

python mcp
View Details