Fujitsu-AI/MCP-Server-for-MAS-Developments
If you are the rightful owner of MCP-Server-for-MAS-Developments and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to dayong@mcphub.com.
The privateGPT MCP Server is a Model Context Protocol server implementation that integrates privateGPT with MCP-compatible applications.
Fsas Technologies AI Team:
Multi-Transport Server Suite (v1.5)
Welcome to the server suite of the Fsas Technologies AI Team. This repository provides a highly specialized selection of gateway servers optimized to integrate the PGPT API into any IT environment—ranging from established legacy systems to cutting-edge AI agent architectures.
🚀 The Three Pillars of Our Connectivity
Each server in this package has been developed for a specific use case to ensure maximum performance and stability.
1. API Server with TCP Support
The Bridge for Legacy Systems. This server is the ideal tool for environments that do not yet natively support the Model Context Protocol (MCP).
- Purpose: Enables older applications to access state-of-the-art AI logic via classic, high-performance TCP connections.
- Advantage: High compatibility without the overhead of complex web protocols. Perfect for industrial controls or proprietary software solutions that rely on proven socket communication.
2. MCP Server with STDIO Support
The Standard for Local Integrations. This server implements the Model Context Protocol via the standard input/output channel.
- Purpose: The primary choice for direct integration into local AI environments such as Claude Desktop, VS Code, or IDE plugins.
- Advantage: Ultra-fast communication with minimal latency. Since no network ports need to be opened, this server offers outstanding security for local workflows directly on the developer machine.
- ⚠️ Requirement: This server requires a running PGPT Instance Version 1.5 to ensure full API compatibility.
3. MCP Server with Streamable-HTTP-Support (SSE)
The Powerhouse for Remote and Web Architectures. This server utilizes Server-Sent Events (SSE) to realize a stable, bidirectional connection over HTTP.
- Purpose: Designed for distributed systems and network access. It is the first choice for the MCP Inspector or web-based dashboards.
- Advantage: Thanks to the integrated Stream-Fix and Auto-Session-Recovery, this server is extremely resilient against unstable network connections or SSH tunnels. It makes AI tools reliably usable over long distances.
- ⚠️ Requirement: This server requires a running PGPT Instance Version 1.5 to ensure full API compatibility.
🛠 Common Core Features (v1.5 Full Build)
All servers in this suite are based on the same hardened logic engine developed by the Fsas Technologies AI Team:
- Full Tool Coverage: Access to all 23 functions of the PGPT API (Chat, RAG Sources, Scenarios, User Management).
- Intelligent Configuration: Centrally managed via
pgpt.env.jsonfor maximum flexibility. - Enterprise Security: Support for RSA-encrypted headers, TLS encryption, and secure SSH key authentication.
- Optimized for Node.js 20+: Full utilization of modern ESM modules and asynchronous runtimes for peak efficiency.
📂 Directory Structure
.
├── API-Server-with-TCP-Support # Legacy & Custom TCP Gateway
├── MCP-Server-with-STDIO-Support # Local Agent Integration (Standard)
└── MCP-Server-with-Streamable-HTTP-Support # Remote & Web Gateway (SSE)
🏃♂️ Quick Start
-
Clone the Repository:
git clone https://github.com/Fujitsu-AI/MCP-Server-for-MAS-Developments.git cd mcp-server-suite -
Prepare Configuration: Create a
pgpt.env.jsonin the respective server directory with your PGPT API credentials. -
Installation & Launch: Choose your server type and follow the local
INSTALL.mdor use the provided setup script, for example:./Install-MPC-Server.sh
📄 License & Copyright
© 2026 Fsas Technologies AI Team. All rights reserved. This suite is optimized for deployment in professional enterprise AI environments.
