Connect AI Agents to Infor M3 with MCP Server

Our solution enables seamless and secure interactions between AI agents (such as Fortude’s Charlie) and Infor M3 through a standardized, context-aware interface. Here’s a simplified breakdown of the process:

1.User interaction via MCP host: A user initiates an interaction through an AI Assistant or an IDE that supports MCP. They send a natural language query or command, which the AI Agent then interprets and prepares for MCP execution.

2. MCP request initiation: An MCP-client embedded within the AI Agent sends a structured MCP request (via Server Sent Events – SSE) to Infor M3.

3. MCP server configuration & routing: Infor M3 utilizes pre-defined configurations (server-config) to determine the appropriate Infor M3 ION API to call, the necessary input structure, and field-level mappings to the relevant business context.

4. Secure API communication: The mcp-server securely obtains a valid authentication token via REST-based authentication from Infor ION. This token is then used to access the designated Infor M3 ION API, such as a Purchase Order (PO) or Customer Order (CO).

5. Response handling & delivery: The response received from Infor is parsed, structured, and streamed back to the AI Assistant or IDE using the MCP protocol. The AI Agent then presents this information conversationally to the user, with options for follow-up actions or questions.

6. Infrastructure & hosting: The entire mcp-server logic runs as a lightweight Azure Container App, ensuring scalability, reliability, and isolation from host systems.

Our solution delivers a multitude of advantages for organizations using Infor M3 and embracing AI-driven automation:

• Reusable protocol layer: A single MCP definition can support multiple AI and automation use cases, ensuring consistent and reusable intent and tool mappings.
• AI-ready ERP access: It enables natural language agents to securely and contextually interact with ERP data through structured, well-defined APIs.
• Faster time-to-automation: By reducing the need for bespoke integrations for each new use case, our solution accelerates overall automation efforts.
• Centralized control & governance: MCP offers a centralized interface to manage tool definitions, scopes, and access policies, enhancing governance.
• Interoperability with AI Platforms: Our innovation is natively compatible with leading AI platforms like Claude and Copilot, as well as any other AI platform supporting the MCP standard.
• Extensibility: The solution is future-ready, designed to support write operations, workflow triggers, and human-in-the-loop approvals.
• Decoupled architecture: The solution separates the business logic within the ERP from the AI interaction logic, fostering improved maintainability and modular design.

With our solution, managing and interacting with Infor M3 becomes as intuitive as a conversation. Imagine using natural language to query order details, confirm purchase orders, or even set up complex workflows, all while your AI assistant handles the underlying API calls securely and efficiently. This transformation significantly streamlines operations, reduces learning curves, and boosts developer productivity, allowing teams to focus on core business objectives rather than complex configurations.

Stay tuned for more updates on how our solution is transforming ERP interactions.

Learn how this solution can support your business.