Pgpt Dev MCP Server For MAS Developments
P

Pgpt Dev MCP Server For MAS Developments

PrivateGPT MCP Server is a server implementation based on the Model Context Protocol (MCP) for integrating PrivateGPT as a proxy into MCP - compatible applications. It supports interacting with the PrivateGPT API through the MCP protocol, including functions such as chatting, knowledge source management, and group permission control, and provides powerful security features such as TLS encryption, RSA password encryption, and key management.
2 points
6.5K

What is PrivateGPT MCP Server?

PrivateGPT MCP Server is a standardized protocol server that acts as a bridge between PrivateGPT and various applications. Just as USB - C provides a standardized connection for devices, MCP provides a standardized way for AI applications to connect to data sources and tools.

How to use PrivateGPT MCP Server?

Through simple installation and configuration, you can quickly set up the MCP server and interact with it through various clients (such as C#, Python, Java, etc.) to achieve seamless integration with PrivateGPT.

Applicable Scenarios

Suitable for scenarios where PrivateGPT needs to be integrated into existing systems, such as customer support, knowledge management, multi - user collaboration, etc.

Main Features

Authentication and Authorization
Provides secure login/logout functions and a token - based authentication mechanism
Chat Management
Supports starting a chat, continuing a chat, getting chat information, and deleting chat records
Group Management
Can create, list, and delete knowledge source groups
Knowledge Source Management
Supports creating, editing, deleting, and querying knowledge sources
Advanced Security Features
Includes TLS encrypted communication, password encryption, key management, and access control
Advantages
Standardized protocol: Provides a unified interface standard for easy integration
Modular design: Functions can be flexibly enabled or disabled
Strong security: Multi - level encryption and security measures
Multi - language support: Provides client implementations in multiple programming languages
Limitations
Requires certain technical knowledge for initial configuration
Performance depends on the PrivateGPT backend
Self - signed certificates may require additional configuration

How to Use

Installation
Clone the repository and install dependencies
Configuration
Copy and edit the configuration file
Generate Keys
Generate an RSA key pair for password encryption
Start the Server
Run the server program

Usage Examples

Customer Support System
Integrate PrivateGPT into the customer support system to provide intelligent dialogue functions
Knowledge Management System
Manage the enterprise's internal knowledge base and group knowledge sources by department

Frequently Asked Questions

Why is password encryption needed?
How to enable TLS encryption?
Which programming languages are supported for clients?

Related Resources

GitHub Repository
Project source code
MCP Protocol Documentation
Official documentation of the Model Context Protocol

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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