Leverage Model Context Protocol (MCP) to build multi-agent pipelines that break down complex coding tasks. Instead of manually orchestrating individual Claude Code agent calls, you can define a sequence of actions. For instance, imagine a pipeline that first generates boilerplate code for a new API endpoint, then writes unit tests for it, and finally creates a pull request. This dramatically speeds up repetitive development workflows.
To implement this, you’d typically define your pipeline in a configuration file or a script. Let’s say you want to create a new controller for a .NET API, generate its tests, and commit them. Your pipeline might look conceptually like this: generate-controller -> generate-tests -> git-commit. Using an MCP-aware CLI tool, you could execute this as a single command.
Here’s a simplified conceptual example of how you might define a pipeline step using an MCP-like syntax (this is illustrative, actual syntax may vary based on the MCP implementation):
pipeline:
- name: generate_api_controller
agent: claude-code
task: "Generate a C# ASP.NET Core controller for a 'Product' entity with GET and POST methods."
output_path: "Controllers/ProductsController.cs"
- name: generate_unit_tests
agent: claude-code
task: "Generate xUnit tests for the 'ProductsController' generated in the previous step."
depends_on: generate_api_controller
output_path: "Tests/ProductsControllerTests.cs"
- name: commit_changes
agent: git
task: "Commit the generated controller and tests with message 'feat: Add Product API controller and tests'."
depends_on: generate_unit_tests
This structured approach ensures that your agents work in concert, passing context and outputs seamlessly, and allows you to execute intricate development operations with minimal human intervention.