Dive - AI Chat Interfaces Tool
Overview
Dive is an open-source MCP host desktop application that integrates with multiple large language models supporting function calling. It provides a unified desktop interface for connecting ChatGPT, Anthropic, Ollama, and other LLMs. The app is cross-platform (Windows, macOS, Linux) and includes features for custom instructions, API management, and auto-updates using the Model Context Protocol (MCP).
Key Features
- Open-source MCP host desktop application
- Integrates with LLMs that support function calling
- Universal model support including ChatGPT, Anthropic, Ollama
- Cross-platform: Windows, macOS, Linux
- Custom instructions management
- API key and endpoint management
- Auto-update mechanisms via the Model Context Protocol
- Model Context Protocol for agent and context orchestration
Ideal Use Cases
- Local multi-model experimentation and comparison
- Developing and testing function-calling agents
- Managing multiple LLM API keys and endpoints
- Desktop-based agent development and debugging
- Running MCP-based agent workflows locally
Getting Started
- Visit the GitHub repository at the project URL
- Clone or download the repository to your machine
- Open the repository README for platform-specific instructions
- Install required dependencies and build the application
- Launch the Dive desktop application
- Configure LLM providers and enter API keys or endpoints
- Enable MCP and auto-update settings as needed
- Test function calling with a sample agent or example
Pricing
Open-source project hosted on GitHub. No commercial pricing information is disclosed in the provided source.
Limitations
- No commercial pricing or hosted service details provided
- Requires MCP-compatible models and integrations for full functionality
- Desktop-hosted application rather than a managed cloud service
Key Information
- Category: Chat Interfaces
- Type: AI Chat Interfaces Tool