AI Agent for MCP Chat
Empower your cross-platform AI workflow with MCP Chat Desktop App. Seamlessly connect and interact with various Large Language Models (LLMs) using the Model Context Protocol (MCP), all via a minimal, high-performance Electron interface. Ideal for developers and researchers, MCP Chat simplifies multi-server LLM testing, configuration, and management in one unified desktop solution.
Unified LLM Desktop Experience
MCP Chat provides an intuitive, minimal interface for configuring and managing multiple LLM servers and models across Linux, macOS, and Windows. Instantly switch between OpenAI, Qwen, DeepInfra, and other MCP-compatible APIs for rapid multi-backend experimentation. Designed for maximum efficiency and ease of use.
- Cross-Platform Compatibility.
- Run MCP Chat seamlessly on Linux, macOS, and Windows for consistent workflow everywhere.
- Multi-Server & Model Support.
- Connect and manage multiple LLM servers and models through a single unified interface.
- Flexible Configuration.
- Easily adapt to OpenAI, Qwen, DeepInfra, and any MCP-compatible endpoints with custom JSON configs.
- Web & Desktop UI Sync.
- Extract the UI for web use, ensuring consistent logic and design across platforms.
Streamlined Testing & Troubleshooting
Accelerate LLM development and debugging with built-in tools for troubleshooting, multimodal support, advanced prompt templates, and visualized tool calls. MCP Chat’s architecture ensures quick setup, real-time feedback, and effortless model switching for efficient experimentation.
- Integrated Troubleshooting.
- Quickly diagnose and resolve issues with clear error reporting and dev tool integration.
- Instant Model Switching.
- Test multiple LLMs in seconds by swapping configurations or endpoints.
- Visual Tool Calls.
- Understand MCP tool usage with visualizations of tool call processes and prompt templates.
Developer-Centric Architecture
Built with developers in mind, MCP Chat features a clean, modular codebase under Apache 2.0 license. Its architecture supports easy extension, strict linting, and integration with AI-assisted development frameworks like TUUI. Package, build, and deploy your own LLM desktop apps with minimal overhead.
- Minimal Modular Codebase.
- Easily understand, extend, and debug core MCP logic and workflows.
- Open Licensing.
- Apache-2.0 licensing enables free modification and redistribution for custom solutions.
- Rapid Build & Deployment.
- Package and deploy your tailored desktop LLM app quickly with built-in build scripts.
Connect Your MCP Chat Desktop App with FlowHunt AI
Connect your MCP Chat Desktop App to a FlowHunt AI Agent. Book a personalized demo or try FlowHunt free today!
What is AI-QL Chat-MCP
AI-QL Chat-MCP is a cross-platform desktop chat application that leverages the Model Context Protocol (MCP) to interface with various Large Language Models (LLMs). Built on Electron, it provides seamless compatibility across Linux, macOS, and Windows. The application is designed for developers and researchers, offering a minimalistic and clean codebase to demonstrate core MCP principles. It enables users to connect, configure, and test multiple LLM servers efficiently. The Chat-MCP project originated as an educational tool, evolving into a robust, modular platform that supports rapid prototyping, flexible client/server management, and dynamic LLM configuration. All code is open-source under the Apache-2.0 license, encouraging customization and derivative projects.
Capabilities
What we can do with AI-QL Chat-MCP
With AI-QL Chat-MCP, users gain a unified interface for configuring, managing, and testing multiple LLMs across different backends. The service supports custom configuration files, easy switching between servers, and direct connection to APIs like OpenAI, DeepInfra, and Qwen. Its modular architecture enables rapid development and debugging, while the platform's UI can be adapted for both desktop and web use. Developers can build, extend, or fork the application to suit their specific AI workflow requirements.
- Multi-LLM Connectivity
- Seamlessly connect and switch between various LLM providers using MCP.
- Cross-Platform Support
- Run the application on Linux, macOS, and Windows without compatibility issues.
- Easy Customization
- Fork and modify the codebase to build tailored desktop or web applications.
- Rapid Prototyping
- Quickly configure and test new LLM endpoints and servers from a unified interface.
- Flexible Client Management
- Configure multiple clients and manage their connections to different servers via MCP.
What is AI-QL Chat-MCP
AI agents can benefit from AI-QL Chat-MCP by leveraging its powerful interface to interact with multiple LLMs, automate testing workflows, and develop new AI functionalities. The platform's modularity and open-source nature make it an ideal foundation for building advanced AI systems, supporting experimentation and rapid deployment.