Framework to expose your management systems to AI agents

Fastal MCP Platform

Framework that exposes chosen functionality of any management system, legacy or modern, to AI agents through the standard Model Context Protocol.

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Key Features

Selective Exposure

Choose which management system features to expose, with granular control over accessible operations and data.

Standard MCP Protocol

Complete Model Context Protocol implementation for compatibility with the AI agents ecosystem.

Universal Integration

Connect any management system, legacy or modern, without rewriting existing code.

Consumer-Ready Connectors

Create custom connectors for consumer agents like Claude Desktop, ChatGPT and others.

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

Analysis — We identify the management system features to expose
Mapping — We define how to translate operations and data into MCP tools
Implementation — We create the interface layer with the framework
Configuration — We set up permissions, filters and access rules
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

Benefits

Proprietary framework tested in production
Compatible with legacy and modern systems
Standard and interoperable MCP protocol
Natural language interfaces for your management systems

Interested?

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Frequently asked questions

What problem does the platform address?

That established management systems hold critical data and processes but were never designed for conversational interfaces, that exposing all of a system's functionality is risky and inefficient, and that every AI agent has its own integration requirements. The framework builds the missing layer between the two worlds.

Does the management system have to be rewritten to use it?

No. The framework is designed to integrate with any system without touching existing code: ERPs such as SAP, Oracle and Microsoft Dynamics, legacy systems with proprietary interfaces, applications with REST or SOAP APIs, relational and document databases, and custom in-house systems.

Which parts of the management system get exposed?

Only the ones chosen. The layer selects a subset of operations, standardizes them into uniform, documented MCP tools, and keeps control over who accesses what, with full logging of permissions, filters and rules.

What are the intended use cases?

Two. Internal conversational assistants, letting operators query data, run operations and generate reports by talking to the system. And custom MCP connectors that open the management system's functionality to consumer agents such as Claude Desktop or ChatGPT.

How do you get to a running MCP server?

In five steps: analysis of the functionality to expose, mapping between the system's operations and MCP tools, implementation of the interface layer with the framework, configuration of permissions, filters and access rules, and finally deployment of the server, ready to connect to agents.