How to build long-running MCP tools on Azure Functions
Azure SDK Blog published “How to build long-running MCP tools on Azure Functions” by Lily Ma on 2026-07-16. Here is what it covers and why it matters for AI & .NET developers.
What was announced From the source
Azure SDK Blog published “How to build long-running MCP tools on Azure Functions” by Lily Ma on 2026-07-16.
The publisher summarises it as: “Learn how to build long-running MCP tools on Azure Functions using Durable Functions. This post explains why synchronous tool calls break down for long-running work, introduces the MCP Tasks extension, and walks through a sample pattern that works with existing…”
The post is organised into these sections:
- MCP tools today
- The MCP Tasks extension
- Implement long-running tasks with Durable Functions today
- What changes with the Tasks extension
- Call to action
At a glance · AI & .NET
What was announcedWhy it mattersWho should careWhat to do next
Why it matters Analysis
AI libraries for .NET evolve quickly, and APIs in preview often change between releases. Following updates helps teams choose stable abstractions and avoid building on APIs that are about to change.
Who should care Analysis
- .NET developers building AI-enabled features
- Teams evaluating model providers and orchestration libraries
- Architects defining AI integration patterns
What to do next Analysis
- Read the full post on Azure SDK Blog for details, code samples and documentation links.
- Read the linked release notes for breaking changes between versions.
- Review data-handling and cost implications of any model provider you connect to.
Sources and further reading
- Original post on Azure SDK Blog (original source)
Original: “How to build long-running MCP tools on Azure Functions”, Azure SDK Blog, published 16 Jul 2026, retrieved 16 Oct 2026. This article was generated from the official source using our structured templates and passed automated quality checks. Spotted a mistake? See our corrections policy.