MCP Chat Bot
by jiasyuanchu
This is a chat bot project implemented in Golang using the Gin framework. It integrates various AI models through the Model Context Protocol (MCP).
Last updated: N/A
What is MCP Chat Bot?
A chat bot implemented in Golang that communicates with various AI models using the Model Context Protocol (MCP). It provides a simple web chat interface for interacting with these models.
How to use MCP Chat Bot?
- Clone the repository. 2. Install dependencies using
go mod download
. 3. Create a.env
file and set your MCP API key and port. 4. Compile and start the server withgo build -o mcp-chat-bot
and./mcp-chat-bot
. 5. Openhttp://localhost:8080
in your browser to start chatting.
Key features of MCP Chat Bot
Simple web chat interface
Communication with various AI models using the MCP protocol
Conversation history tracking
Efficient server implementation using Golang and Gin framework
Use cases of MCP Chat Bot
Interact with AI models through a simple chat interface
Integrate various AI models into a single application
Build custom chat applications powered by AI
Experiment with different AI models using the MCP protocol
FAQ from MCP Chat Bot
What is MCP?
What is MCP?
MCP stands for Model Context Protocol. It's a protocol likely used to interact with various AI models in a standardized way.
How do I change the AI model?
How do I change the AI model?
Modify the Model
parameter in the main.go
file to use different AI models. For example, change Model: "gpt-4"
to your preferred model.
What is the purpose of .env file?
What is the purpose of .env file?
The .env
file is used to store sensitive information or configuration settings, such as your MCP API key and the port the server runs on.
Where can I get 'MCP_API_KEY' value?
Where can I get 'MCP_API_KEY' value?
The MCP_API_KEY comes from MCP service or API you are using, please acquire the corresponding key from them
What AI model that the chat bot provides?
What AI model that the chat bot provides?
The README doesn't provide this, you need to configure available AI models through the "Model" field in main.go