MCP Plexus
M

MCP Plexus

MCP Plexus is a Python framework based on FastMCP 2.7 for building secure and scalable multi-tenant MCP servers. It supports OAuth 2.1 integration and API key management, providing an isolated environment and tool access control for modern AI applications.
2.5 points
4.7K

What is MCP Plexus?

MCP Plexus is a Python framework based on FastMCP 2.7 for building secure and scalable Model Context Protocol (MCP) applications. It allows developers to deploy multi-tenant MCP servers and seamlessly integrate AI models with external services.

How to use MCP Plexus?

By defining tenants, registering users, creating tools, and resources, MCP Plexus can provide isolated AI backend systems for different customers or organizations. Users can access external services through OAuth 2.1 or API keys.

Use Cases

Suitable for scenarios that require customized AI backends for different customers, such as enterprise-level AI assistants and multi-tenant SaaS platforms.

Main Features

Multi-tenant Support
Supports multiple independent tenants, each with its own data and tool access permissions.
External Service Integration
Securely connects to external services such as GitHub and Google through OAuth 2.1.
API Key Management
Securely stores and injects API keys without hard - coding sensitive information in the code.
Standardized MCP Server
Uses FastMCP's decorators to define tools, resources, and prompts, simplifying the development process.
Persistent Storage
By default, uses SQLite to store user authentication tokens, OAuth tokens, and API keys.
Advantages
Supports a multi-tenant architecture, enabling data isolation and independent configuration.
Simplifies external service integration, providing OAuth 2.1 and API key management.
Improves security, protecting sensitive credentials (such as OAuth tokens and API keys).
Is easy to expand, supporting custom authentication providers and services.
Uses the FastMCP library, ensuring high performance and a good developer experience.
Limitations
Currently relies on Redis for session management, which may increase deployment complexity.
Some features (such as the internal OAuth provider) are still under development.
For non-technical users, some configuration steps may be complex.
Requires some Python development experience to fully utilize its features.

How to Use

Install Dependencies
Clone the project and install the dependencies, including the Python environment and Redis.
Configure Environment Variables
Create a `.env` file and set the necessary environment variables, such as `HOST_APP_REGISTRATION_SECRET` and `PLEXUS_ENCRYPTION_KEY`.
Start the Server
Run the development server to start providing MCP services.
Register a User
Register a user through the `/{entity_id}/plexus-auth/register-user` interface to obtain the `plexus_user_auth_token`.
Call Tools
Use the `GET /{entity_id}/mcp/` endpoint to initialize an MCP session and call registered tools.

Usage Examples

Enterprise-level AI Assistant
Provide customized AI assistants for different enterprises, each with an independent toolset and data.
Weather Query Tool
Provide weather forecast services using the OpenWeatherMap API.
Multi-tenant SaaS Platform
Provide a unified AI backend for different customers, with each customer's data and tools completely isolated.

Frequently Asked Questions

How to securely store API keys?
How to handle expired OAuth tokens?
Does it support multiple languages?
How to expand the functionality of MCP Plexus?

Related Resources

Official Documentation
Complete documentation and source code for MCP Plexus.
Quick Start Guide
A guide to help you quickly get started with MCP Plexus.
Video Tutorial
Demonstrate how to use MCP Plexus to create a multi-tenant MCP server.

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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