HyperChat
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.
What is HyperChat?
HyperChat is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to 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.
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.
This server falls under the Communication category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- HyperChat is a Chat client that strives for openness, utiliz
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx hyperchatConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use HyperChat
HyperChat is an open-source multi-LLM chat client that connects to any OpenAI-compatible API — including OpenAI, Claude, Qwen, DeepSeek, GLM, and Ollama — and extends its capabilities through MCP protocol tool integrations. Beyond chat, it supports a RAG knowledge base, artifact rendering (SVG, HTML, Mermaid diagrams), scheduled task automation, custom agent creation, terminal access, Google Search, Cloudflare web publishing, and a multi-workspace ChatSpace environment. It runs as a local web app accessible at http://localhost:16100.
Prerequisites
- Node.js LTS installed (required to run the npx package)
- uv Python package manager installed (brew install uv on macOS, winget install astral-sh.uv on Windows)
- An API key for at least one supported LLM provider (OpenAI, Anthropic, DeepSeek, Qwen, Ollama, etc.)
- Optional: Docker for the container-based deployment
- An MCP-compatible client or a web browser to access the HyperChat interface
Install uv and Node.js
HyperChat requires both uv (for Python-based MCP servers) and Node.js. Install them using your platform's package manager.
# macOS:
brew install uv node
# Windows:
winget install --id=astral-sh.uv -e
winget install OpenJS.NodeJS.LTSLaunch HyperChat via npx
Run HyperChat directly using npx. The server starts on port 16100 with the default password 123456. The web interface is immediately accessible in your browser.
npx -y @dadigua/hyper-chatOpen the web interface
Navigate to the HyperChat URL in your browser. The URL includes the password as a path segment for quick access.
open http://localhost:16100/123456/Configure your LLM API key
In the HyperChat settings panel, add your API key for the LLM providers you want to use. Any OpenAI-compatible endpoint is supported — set the base URL and model name accordingly.
Install MCP server extensions
From the HyperChat MCP panel, browse and install third-party MCP servers to add capabilities like web search, file system access, database tools, and more. Each MCP server runs as a subprocess.
Create agents and configure workspaces
Use the agent builder to create specialized assistants with custom system prompts, selected tools, and assigned LLM models. Organize multiple conversations in the ChatSpace workspace view.
HyperChat Examples
Client configuration
Run HyperChat as an MCP server so external clients can access its capabilities. Configure port, password, and LLM API key via environment variables.
{
"mcpServers": {
"hyperchat": {
"command": "npx",
"args": ["-y", "@dadigua/hyper-chat"],
"env": {
"PORT": "16100",
"PASSWORD": "your-secure-password",
"OPENAI_API_KEY": "sk-..."
}
}
}
}Prompts to try
Prompts that demonstrate HyperChat's multi-LLM routing, artifact rendering, and scheduled task capabilities.
- "Switch to the DeepSeek model and summarize this document for me."
- "Create a Mermaid diagram showing the architecture of a microservices system with API gateway, auth service, and database."
- "Schedule a daily task at 9am to fetch the top 5 AI news stories and send them to my Slack channel."Troubleshooting HyperChat
Port 16100 is already in use when starting HyperChat
Set the PORT environment variable to a different port: `PORT=16200 npx -y @dadigua/hyper-chat`. Update your browser bookmark to the new port accordingly.
MCP server extensions fail to install or run
Ensure both uv and Node.js are installed and accessible in your PATH. HyperChat uses uv to run Python-based MCP servers and Node.js for JavaScript ones. Verify with `uv --version` and `node --version`.
WebDAV sync is not working for conversation backup
In HyperChat settings, configure WebDAV with the full server URL (including protocol and port), your username, and password. Test connectivity by checking if your WebDAV server is reachable from the machine running HyperChat.
Frequently Asked Questions about HyperChat
What is HyperChat?
HyperChat is a Model Context Protocol (MCP) server that 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. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install HyperChat?
Follow the installation instructions on the HyperChat GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with HyperChat?
HyperChat works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is HyperChat free to use?
Yes, HyperChat is open source and available under the NOASSERTION license. You can use it freely in both personal and commercial projects.
HyperChat Alternatives — Similar Communication Servers
Looking for alternatives to HyperChat? Here are other popular communication servers you can use with Claude, Cursor, and VS Code.
Slack
★ 86.1kEnables interaction with Slack workspaces through comprehensive channel management, messaging, user management, file uploads, and Block Kit formatting. Features secure credential storage via macOS Keychain and supports all major Slack operations incl
LibreChat
★ 37.3kEnhanced ChatGPT Clone: Features Agents, MCP, DeepSeek, Anthropic, AWS, OpenAI, Responses API, Azure, Groq, o1, GPT-5, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message search, Code Interpreter, langchain, DALL-E-3, OpenA
Note Gen
★ 11.9kA cross-platform Markdown AI note-taking software.
DeepChat
★ 5.8k🐬DeepChat - A smart assistant that connects powerful AI to your personal world
WhatsApp MCP
★ 5.7kConnects AI assistants to the official Meta WhatsApp Cloud API for managing conversations and sending various message types through natural language. It provides tools for media management, template messages, and real-time webhook processing without
Apple
★ 3.1kEnables interaction with Apple apps like Messages, Notes, and Contacts through the MCP protocol to send messages, search, and open app content using natural language.
Browse More Communication MCP Servers
Explore all communication servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up HyperChat in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
Ready to use HyperChat?
Browse our complete directory of 33,000+ MCP servers, read setup guides for your editor, and start building with the Model Context Protocol.