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Build multi-agent AI workflows with MCP tools and Dapr

By PulseAugur Editorial · [1 sources] ·

This article demonstrates how to create a multi-agent workflow using MCP tools and Dapr workflows. The example showcases a researcher agent that fetches information from an MCP server and a writer agent that summarizes the findings. The Dapr workflow ensures that each agent's task is recorded as a distinct activity, allowing the workflow to resume from the last completed step if interrupted. This approach provides durable execution for AI agents, preventing redundant computations and ensuring progress even after restarts. AI

IMPACT Enables more robust and fault-tolerant multi-agent AI systems through durable execution.

RANK_REASON Demonstrates a specific technical implementation for AI agents.

Read on dev.to — MCP tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Build multi-agent AI workflows with MCP tools and Dapr

How we ranked this

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
Demonstrates a specific technical implementation for AI agents.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, infra
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
25 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [1]

  1. dev.to — MCP tag TIER_1 English(EN) · Casper Nielsen ·

    A Multi-Agent Workflow With MCP Tools in About 60 Lines

    <p>A Multi-Agent Workflow With MCP Tools in About 60 Lines</p> <p>An MCP agent demo is usually one agent calling one tool server. Add a second agent and a hand-off between them, and a boring question shows up fast: if the process dies between agent one and agent two, what runs ag…

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