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HyperChat

HyperChat is an open-source LLM chat client designed around productivity. It ships with a prompt library, workflow automation, and multi-model support — features that turn a simple chatbot into a daily work tool. MCP integration lets the AI interact with external services during these workflows.


HC
HyperChat
Open-Source · github.com
TRANSPORT
Streamable HTTP ✓
PLATFORM
Windows · macOS · Linux
MCP VIA
Settings

Productivity Workflows Powered by MCP

HyperChat's prompt library and workflow system let you build reusable sequences: "summarize this document, extract action items, and create tasks." MCP adds the ability to execute those tasks — create Jira tickets, update a Notion page, or ping a Slack channel — directly from the workflow.

Features:

  • Prompt library — curated and custom prompts for common tasks
  • Workflow chains — sequence multiple prompts with MCP tool calls in between
  • Multi-model — switch models mid-conversation for different strengths
  • History search — full-text search across all past conversations
  • Responsive UI — works well on both wide monitors and laptop screens
  • Open-source — active community development

Connecting Vinkius Cloud

1. Create a Token

Go to Vinkius Cloud → your server → Connection TokensCreate. Copy the URL.

2. Add MCP Server

Open HyperChat → SettingsMCP ServersAdd. Paste your URL.

3. Build Workflows

Combine prompt templates with MCP tool calls to automate multi-step processes. Or simply chat — MCP tools are available in regular conversations too.


FAQ

Can I chain MCP tools in HyperChat workflows? Yes. Workflows can include a sequence of prompt steps and MCP tool invocations. The output of one step feeds into the next.

Does HyperChat support local models? Yes, via Ollama or any OpenAI-compatible local endpoint. MCP tools work the same regardless of model.

Is the prompt library customizable? Fully. Add, edit, or remove prompts. Share them with your team via export/import.

Is HyperChat free? Open-source. You bring your own API keys.