Fan-Out Message Distribution
Distribute events from a single MCP server to multiple downstream consumers for parallel processing.
Anti-Corruption Layer
Protect your domain model from external system concepts by translating between MCP server data formats.
Adapter Pattern for Legacy Systems
Wrap legacy systems with MCP-compatible adapters to integrate them into modern agent workflows.
API Gateway Pattern for MCP
Route external API requests through a unified gateway that dispatches to the appropriate MCP server.
Feature Flag Controlled Rollout
Use feature flags to control which users see new functionality without deploying new code.
Canary Deployment with Progressive Rollout
Gradually shift traffic to a new version while monitoring error rates and performance metrics.
Blue-Green Deployment with MCP Validation
Deploy new versions alongside old ones and switch traffic after MCP-driven validation passes.
Fallback with Graceful Degradation
Provide fallback responses when MCP servers are unavailable to maintain partial functionality.
Bulkhead Isolation
Isolate MCP server connections into separate pools to prevent one failing server from consuming all resources.
Retry with Exponential Backoff
Automatically retry failed MCP server calls with increasing delays to handle transient failures.
Circuit Breaker for MCP Servers
Prevent cascading failures by stopping calls to unhealthy MCP servers until they recover.
Agent Memory and Context Management
Manage long-term and short-term memory for AI agents using MCP servers for persistent storage.
Tool Selection with Confidence Scoring
Dynamically select the best MCP server tool for a task based on confidence scores and past performance.
Multi-Agent Coordination
Coordinate multiple specialized AI agents that each use different MCP servers for their domain expertise.
Retrieval-Augmented Generation (RAG)
Enhance AI responses by retrieving relevant context from databases and documents before generating.
Alerting Cascade with Escalation
Route alerts through escalating severity levels with automatic escalation when not acknowledged.
Distributed Tracing for MCP Calls
Trace requests across multiple MCP server calls with span context propagation.
Centralized Logging Pipeline
Route all MCP server logs through a centralized pipeline for unified search and analysis.
Health Check Aggregation
Aggregate health status from all MCP servers into a unified system health dashboard.
RBAC Middleware for MCP Servers
Implement role-based access control as middleware that gates which MCP server tools a user can invoke.
Secret Rotation Pattern
Automatically rotate secrets and credentials used by MCP servers without downtime.
Zero-Trust MCP Authentication
Verify every MCP server request with token validation, scope checking, and audit logging.
Distributed Cache with Invalidation
Manage cache across multiple nodes with event-driven invalidation to prevent stale data.
Write-Through Cache
Write to both cache and database simultaneously to keep them in sync at all times.
Cache-Aside (Lazy Loading)
Load data into cache on demand: check cache first, fall back to database, then populate cache.
Parallel Execution with Aggregation
Execute multiple MCP server calls in parallel and aggregate results into a unified response.
Choreography-Based Coordination
Let MCP servers coordinate through events without a central orchestrator, enabling loose coupling.
Workflow Orchestration with State Machine
Model complex business workflows as state machines with MCP servers handling transitions.
Chain of Responsibility
Pass requests through a chain of MCP server handlers where each can process or forward to the next.
Saga Pattern for Distributed Transactions
Coordinate multi-step transactions across MCP servers with compensating actions for rollback.
Batch Processing with Parallel Workers
Process large datasets efficiently by dividing work across parallel worker agents with shared progress tracking.
Change Data Capture (CDC)
Capture and propagate database changes in real-time to downstream systems using log-based CDC.
Data Lake Ingestion Pattern
Ingest data from multiple sources into a centralized data lake with schema validation and partitioning.
Streaming Data Pipeline
Process data in real-time as it flows through a series of transformation stages connected by MCP servers.
ETL Pipeline with Checkpointing
Build resumable ETL pipelines that can recover from failures without reprocessing already-completed data.
Request-Reply over MCP
Implement synchronous request-reply communication between MCP servers using correlation IDs.
Message Queue with Dead Letter Handling
Process messages reliably with automatic retry and dead letter queues for failed messages.
Pub-Sub with Topic Routing
Route messages to specific MCP server consumers based on topic patterns for selective event handling.
Event Sourcing with MCP
Store all state changes as immutable events and rebuild state by replaying the event log.
Fan-Out / Fan-In
Distribute work across multiple parallel workers, then aggregate results. Ideal for tasks that can be broken into independent subtasks.
Sequential Pipeline
A linear chain of processing steps where each step's output becomes the next step's input. The simplest pattern for ordered, dependent operations.