I Built the Universal OData ↔ MCP Bridge (And It Actually Works™)
In March 2025 I realised the “hard part” of enterprise AI integration was already solved by metadata we’ve had for years. Two hundred MCP servers suddenly became 15,000+ – with one simple translator.
What Problem Are We Solving?
Hey folks! This is the logical continuation of my ABAP-native AI journey:
ZVDB & ZLLM brought AI into ABAP (vector search, LangChain-lite, local inference)
This bridge brings ABAP — and every other OData system — to AI
Enterprises sit on thousands of OData endpoints that already expose clean business semantics, yet modern AI assistants can’t reach them. All that was missing was a translator.
TL;DR (Four Bullets, Promise!)
Code → GitHub: oisee/odata_mcp (Python) & oisee/odata_mcp_go (Go) (link in first comment)Problem → $2T of software speaks OData; 0% speaks MCPSolution → Bridge auto-discovers every entity/action; zero configResult → Your ERP landscape is AI-accessible in under two minutes
I Built the Universal OData ↔ MCP Bridge (And It Actually Works™)In March 2025 I realised the “hard part” of enterprise AI integration was already solved by metadata we’ve had for years. Two hundred MCP servers suddenly became 15,000+ – with one simple translator. What Problem Are We Solving?Hey folks!
This is the logical continuation of my ABAP-native AI journey:ZVDB & ZLLM brought AI into ABAP (vector search, LangChain-lite, local inference)This bridge brings ABAP — and every other OData system — to AIEnterprises sit on thousands of OData endpoints that already expose clean business semantics, yet modern AI assistants can’t reach them. All that was missing was a translator.TL;DR (Four Bullets, Promise!)Code → GitHub: oisee/odata_mcp (Python) & oisee/odata_mcp_go (Go) (link in first comment)Problem → $2T of software speaks OData; 0% speaks MCPSolution → Bridge auto-discovers every entity/action; zero configResult → Your ERP landscape is AI-accessible in under two minutes Read More Technology Blog Posts by Members articles
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