mcp-server

mcp-server

0
research_and_dataos_automation

This project is an implementation of a Model Context Protocol (MCP) Server with capabilities for handling HDF5 data and simulating Slurm job scheduling. It provides features like dataset retrieval and job submission, ensuring compliance with JSON-RPC 2.0.

Overview

Project Name: MCP Server Implementation

Implemented Capabilities

  • HDF5 Data Handling
  • Slurm Job Scheduling

Setup Instructions

  • Install required dependencies using pip
  • Create and activate a virtual environment using uv
  • Sync dependencies

Running Instructions

  • Launch the server using Uvicorn
  • Run tests using Pytest

System Requirements

  • Full compliance with JSON-RPC 2.0
  • 100% test coverage
  • Proper error handling and async request processing

Implementation Details

  • HDF5 Handler: Uses h5py for file operations, supporting actions like reading datasets
  • Slurm Handler: Simulates job submission, queuing, and completion