PrivateGPT MCP Server
by MCP-Mirror
A Model Context Protocol (MCP) server implementation that allows you to use PrivateGPT as an agent for your preferred MCP client. This enables seamless integration between PrivateGPT's powerful capabilities and any MCP-compatible application.
Last updated: N/A
What is PrivateGPT MCP Server?
This server provides a bridge between MCP clients and the PrivateGPT API, allowing you to chat with PrivateGPT using both public and private knowledge bases, create and manage knowledge sources, organize sources into groups, and control access through group-based permissions.
How to use PrivateGPT MCP Server?
- Clone the repository. 2. Configure the server by editing the
pgpt.env.jsonfile. 3. Start the server using the provided script. 4. Interact with the server via API calls to utilize its features. Refer to the API Documentation for detailed usage instructions and examples for each endpoint.
Key features of PrivateGPT MCP Server
Authentication and Authorization
Chat Management
Group Management
Source Management
User Management
Configuration Flexibility
Error Handling and Logging
Security Features
Use cases of PrivateGPT MCP Server
Customer Support: Use chat features to build intelligent conversational agents.
Knowledge Management: Manage and retrieve structured data with sources and groups.
Multi-User Collaboration: Create, edit, and assign users to groups for collaborative workflows.
Customizable Functionality: Activate only the features you need for your application.
FAQ from PrivateGPT MCP Server
What is MCP?
What is MCP?
MCP is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications.
Why use agents with LLMs and MCP servers?
Why use agents with LLMs and MCP servers?
Agents handle tasks such as processing requests, interacting with the LLM via MCP, managing workflows, ensuring security and efficiency within the overall system, and much more.
Why is password encryption important?
Why is password encryption important?
Storing passwords in plaintext poses significant security risks. Encryption helps in adhering to security standards and regulations that mandate the protection of sensitive information.
What security features are implemented?
What security features are implemented?
Transport Layer Security (TLS), Password Encryption, Key Management, Decryption on the Server, Authorization Tokens, Restriction of Key Generation, Certificate-Based Access Control (CBAC), Secure Configuration, and Logging and Monitoring.
How do I configure the server?
How do I configure the server?
Settings can be adjusted in the .env file to customize the server and its functionalities, including port, language, SSL validation, encryption settings, and feature activation/deactivation.