Tiny Chat
Tiny Chat is a chat application developed in Python. It supports installation in development mode and packaged installation, provides a Web interface and database functions, and integrates the MCP service and the RAG service of the OpenAI API.
2 points
6.1K

What is an MCP Server?

An MCP server is a service used to manage and coordinate the contexts of multiple models. It allows users to seamlessly switch between different models without reloading data.

How to Use an MCP Server?

You can start using it by simply configuring the MCP server and running the relevant commands. MCP supports the integration of multiple models and services.

Applicable Scenarios

Suitable for complex tasks that require cross - model collaboration, such as chatbots, Q&A systems, and multi - language translation.

Main Features

Model Context Management
Dynamically load and manage context data for different models.
Multi - Model Integration
Support a unified interface for multiple models, facilitating quick access for developers.
Real - Time Interaction
Respond to user requests in real - time to enhance the user experience.
Advantages
Simplify the multi - model collaboration process
Improve model switching efficiency
Enhance conversation continuity
Limitations
Require additional configuration and deployment
Have certain requirements for hardware performance

How to Use

Install the MCP Server
Ensure that Python 3.10 or a higher version is installed and run the installation command.
Start the MCP Service
Start the service using Streamlit or an independent API.
Configure Environment Variables
Set the necessary environment variables, such as the database path.

Usage Examples

Example 1: Start the MCP Service
Run the MCP service through Streamlit.
Example 2: Query the API
Send a query request through the OpenAI Chat API RAG Server.

Frequently Asked Questions

Which operating systems does the MCP server support?
How to upgrade the MCP server version?
Can I customize model integration?

Related Resources

MCP Server Documentation
Detailed installation and usage guide.
GitHub Code Repository
Open - source code and example projects.
Technical Blog
In - depth analysis of the MCP technical principle.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "tiny-chat": {
      "command": "/path/to/tiny_chat/.venv/bin/tiny-chat-mcp",
      "env": {
        "DB_CONFIG": "/path/to/tiny_chat/database_config.json"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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