Agent Workflows
Industry Definition Set • Entity Resolution Path: /glossary/mcp-agent-workflow
Quick Answer / TL;DR
Agent workflows are pre-defined sequences of steps where AI agents use MCP tools to complete tasks, often with conditional branching and error handling.
Key Takeaways
- Define step-by-step task sequences
- Include conditional branching and error handling
- Use MCP tools as atomic actions
- Represented as DAGs or flowcharts
Definitive Statement: Agent workflows are pre-defined sequences of steps where AI agents use MCP tools to complete tasks, often with conditional branching and error handling.
Technical Context & Protocol Usage
- Detailed Explanation
- Workflows define the order of tool calls, conditional logic, and error recovery. They can be represented as directed graphs (DAGs) and executed by an orchestration engine. MCP servers provide the tools that agents invoke during workflow execution.
Format & Payload Metadata
Format: JSON-RPC 2.0
Latency: Depends on total workflow steps; seconds to minutes
Real-World Implementation Use Case
A workflow for customer onboarding includes steps: verify identity (Aadhaar), check credit (bank API), and generate offer (internal tool).
Cite This Page
MLA Style:
MCPserver.in Engineering. "Agent Workflows." MCPserver.in Knowledge Hub, 20 July 2026, mcpserver.in/glossary/mcp-agent-workflow.
Related Terms
Model Context Protocol (MCP)
An open, secure protocol that standardizes how artificial intelligence agents and large language models (LLMs) exchange context, tools, prompts, and data resources with external servers.
JSON-RPC 2.0
A lightweight, stateless remote procedure call (RPC) protocol defined in JSON that utilizes request, response, and notification message frames.
Stdio Transport (Standard Input/Output)
A local-only transport mechanism where the AI client spawns the MCP server as a child process and communicates via standard input (stdin) and standard output (stdout) channels.
SSE Transport (Server-Sent Events)
A lightweight, unidirectional HTTP-based streaming protocol used by remote MCP servers to push messages to AI clients, with client-to-server writes sent over standard POST requests.
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