$ loading_
Build effective AI agents with MCP and simple workflow patterns.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-agent" yet — see the docs or source repo.
Design a customer support automation agent with MCP, including tool connections, context passing, task decomposition, error handling, and a simple workflow example, then provide implementation steps.
A support agent architecture, workflow design, and practical implementation steps.
Plan an MCP-based multi-step agent that connects a knowledge base, ticketing system, and calendar, explaining each step's inputs, outputs, call order, and state management.
A multi-tool agent flow outline, interface structure, and state management recommendations.
I already have an agent prototype. Analyze how to improve its stability, scalability, and maintainability using MCP and simple workflow patterns, and provide refactoring suggestions.
A diagnosis of the current agent, optimization directions, and specific refactoring suggestions.
Helps LLM agents discover, register, and run local and remote MCP tools.
Enable AI agents to communicate, route messages, and collaborate through MCP.
Add agentic tools with iterative reasoning and tool use to apps
Run deterministic agent orchestration with task decomposition, subagents, and review feedback.
Enable AI coding agents to communicate, share state, and coordinate work in real time.
Orchestrate multi-agent workflows with durable state and replayable execution traces.