When One Process Becomes Too Much: Splitting a Pipeline into MCP Services

Tightly coupled Python pipelines often become unmanageable as they grow, leading to dependency conflicts, shared failure modes, and complex deployments. A crash in one component can halt the entire process, and shipping a bug fix requires redeploying the whole application. The proposed solution is to split the monolithic pipeline into independently deployable microservices, creating a firm process boundary around each part. This allows each service to have its own dependencies, be scaled independently, and be updated without affecting others. An orchestration framework like LangGraph can then be used to connect these services and define the data flow between them.