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Workshop Mcp Agent Example

@maheshmuragon 10 months ago
33 MIT
FreeCommunity
AI Systems
An Orchestrator workflow example for grading student assignments using MCP agents.

Overview

What is Workshop Mcp Agent Example

The workshop-mcp-agent-example is an orchestrator workflow example that demonstrates how to dynamically plan and execute multi-step tasks across multiple agents.

Use cases

Use cases include automating the grading process for student assignments, ensuring quality control through multiple evaluators, and integrating external resources for enhanced evaluation accuracy.

How to use

To use the workshop-mcp-agent-example, set up the MCP filesystem server to locate student assignments, and utilize various agents such as proofreaders, fact checkers, and style enforcers to evaluate the assignments. The graded reports are then written back to the MCP filesystem.

Key features

Key features include dynamic task planning, parallel execution of tasks, integration with multiple agents for comprehensive evaluation, and the ability to fetch external resources like style guidelines from the web.

Where to use

This example can be used in educational environments where automated grading of assignments is needed, particularly in scenarios involving multiple evaluative criteria.

Content

Orchestrator workflow example

This example shows an Orchestrator workflow which dynamically plans across a number of agents to accomplish a multi-step task.

It parallelizes the task executions where possible, and continues execution until the objective is attained.

This particular example is a student assignment grader, which requires:

  • Finding the student’s assignment in a short_story.md on disk (using MCP filesystem server)
  • Using proofreader, fact checker and style enforcer agents to evaluate the quality of the report
  • The style enforcer requires reading style guidelines from the APA website using the MCP fetch server.
  • Writing the graded report to disk (using MCP filesystem server)
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