MCP Plexus
Provides a secure, multi-tenant Model Context Protocol (MCP) server framework for modern AI application development.
About
MCP Plexus is a robust Python framework designed to simplify the creation of scalable and secure multi-tenant AI backend systems by extending FastMCP 2.7. It enables developers to define isolated environments (tenants) that expose tailored sets of tools, resources, and prompts to Large Language Models (LLMs) and AI agents. With features like secure OAuth 2.1 integration, API key management, and persistent user authentication, MCP Plexus streamlines the development process and promotes secure practices for managing context and capabilities in complex AI applications.
Key Features
- Supports robust multi-tenancy, hosting multiple clients or organizations on a single deployment.
- Provides secure API key management for tools requiring direct key-based authentication.
- Simplifies external service integration with built-in OAuth 2.1 flow management.
- Leverages FastMCP's Pythonic decorators for defining MCP components.
- Enables user-specific persistent access via secure token storage.
- 2 GitHub stars
Use Cases
- Building multi-tenant AI applications with isolated environments for different clients.
- Managing access to sensitive credentials like OAuth tokens and API keys outside of core tool logic.
- Securely integrating external services like GitHub or Google APIs into AI tools.
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