mcp-agent provides implementations for every pattern in Anthropic’s Building Effective Agents, as well as the OpenAI’s Swarm pattern. Each pattern is model-agnostic, and exposed as an AugmentedLLM, making everything very composable.Documentation Index
Fetch the complete documentation index at: https://docs.mcp-agent.com/llms.txt
Use this file to discover all available pages before exploring further.
Parallel Workflow
Execute multiple tasks simultaneously with intelligent result aggregation
and conflict resolution.
Router Pattern
Intelligent task routing based on content analysis, user intent, and dynamic
conditions.
Intent Classifier
Advanced intent recognition with confidence scoring and hierarchical
classification.
Evaluator-Optimizer
Quality control with LLM-as-judge evaluation and iterative response
refinement.
Orchestrator
Complex multi-step workflows with dependency management and state
coordination.
Swarm Pattern
OpenAI Swarm-compatible multi-agent handoffs with context preservation.
Next Steps: Explore individual workflow patterns to see detailed
implementation examples and learn how to combine them for your specific use
cases.