privateGPT MCP Server
by MCP-Mirror
The privateGPT MCP Server is 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.
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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?
- Configure the server by editing the
privateGPT.env.jsonfile. 2. Start the server using the provided script (node dist/index.js). 3. Interact with the server via API calls to utilize its features, referring 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: 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, enabling seamless integration between AI models and different data sources and tools.
Why use Agents with LLMs and MCP?
Why use Agents with LLMs and MCP?
Agents act as intermediaries between LLMs and applications, handling tasks such as processing requests, managing workflows, ensuring security, and improving efficiency within the overall system.
Why is password encryption important?
Why is password encryption important?
Encrypting passwords protects sensitive data from unauthorized access and potential data breaches, ensuring compliance with security standards and regulations.
What security features are implemented?
What security features are implemented?
Security features include Transport Layer Security (TLS), password encryption using RSA, key management, decryption on the server, authorization tokens, restriction of key generation, certificate-based access control, secure configuration, and logging and monitoring.
How do I enable or disable server functions?
How do I enable or disable server functions?
Control the availability of individual server functions by setting the corresponding value in the .env file to true to enable the function, or false to disable it.