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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.
Knowledge management and memoryArtificial intelligence chatbots#AI Proxy#Secure Communication#Knowledge Management#Protocol Integration.Python
2 points
9

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 AuthorizationProvides secure login/logout functions and a token - based authentication mechanism
Chat ManagementSupports starting a chat, continuing a chat, getting chat information, and deleting chat records
Group ManagementCan create, list, and delete knowledge source groups
Knowledge Source ManagementSupports creating, editing, deleting, and querying knowledge sources
Advanced Security FeaturesIncludes TLS encrypted communication, password encryption, key management, and access control

Advantages and Limitations

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 SystemIntegrate PrivateGPT into the customer support system to provide intelligent dialogue functions
Knowledge Management SystemManage 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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