MCP Pipeline Framework

Example Use Cases

• 1

  Reduce token usage by minimizing tool descriptions and intermediate data passed through the LLM.

• 2

  That require server-side typed state caching to share data between tools without relying on the LLM context.

• 3

  Declarative tool chaining with automatic dependency management and error guidance.

Description

mcp-pipeline is a Python framework designed to optimize MCP servers by collapsing multiple tools into fewer pipeline tools with typed server-side state. It reduces token overhead by caching intermediate data on the server, avoiding redundant data relay through the LLM, and enabling declarative tool dependencies. This results in fewer tools, fewer tokens, and more efficient, type-safe workflows.