Fastal MCP Platform

A bridge between management systems and artificial intelligence

Fastal MCP Platform is a proprietary framework that enables creating an interface layer between your management systems and the world of AI agents. Through the standard MCP (Model Context Protocol), you can expose selected and specific functionality of any system, legacy or modern, in a controlled and secure manner.

The problem

Companies have established management systems containing critical data and processes. Conversational artificial intelligence offers new interaction modalities, but connecting these worlds presents significant challenges:

• Legacy systems are not designed for conversational interfaces
• Exposing all management system features is risky and inefficient
• Each AI agent has different integration requirements
• Security and access control are fundamental

The solution

Fastal MCP Platform creates an abstraction layer that:

• Selects — Expose only the features you want to make accessible, not the entire system
• Standardizes — Transform heterogeneous operations into uniform and documented MCP tools
• Protects — Maintain control over who accesses what, with complete logging
• Enables — Allow natural language interaction with your systems

Two use case scenarios

Agentic interfaces for management systems

Develop conversational assistants that allow users to interact with the management system using natural language. Operators can query data, execute operations, generate reports simply by “talking” to the system.

Connectors for consumer agents

Create custom MCP connectors that allow consumer agents like Claude Desktop or ChatGPT to access your management system features. Users can thus leverage the power of these agents while maintaining the context of business data.

How it works

1. Analysis — We identify the management system features to expose
2. Mapping — We define how to translate operations and data into MCP tools
3. Implementation — We create the interface layer with the framework
4. Configuration — We set up permissions, filters and access rules
5. Deployment — The MCP server is ready to connect to agents

Supported systems

The framework is designed to integrate with any system:

• ERP management systems (SAP, Oracle, Microsoft Dynamics)
• Legacy systems with proprietary interfaces
• Applications with REST or SOAP APIs
• Relational and document databases
• Custom internally developed systems

Why MCP

The Model Context Protocol is the emerging standard for communication between LLMs and external systems. Adopting it means:

• Compatibility with a growing ecosystem of AI agents
• Interoperability between different providers (Anthropic, OpenAI, others)
• Future-proof architecture that evolves with the standard
• Active community and complete documentation