Kamesh Akella kami619

Integrating MCP (Model Context Protocol) servers with GitHub for test analysis involves several coordinated steps to enable AI-driven, automated workflows for CI/CD and test management. Here’s a structured overview of the process:

1. Set Up the GitHub MCP Server

Generate a GitHub Personal Access Token:
Create a token with the necessary repository and workflow permissions to allow the MCP server to interact with your GitHub data[4][3].

Launch the MCP Server:
The official GitHub MCP server can be started using Docker:

docker run -i --rm -e GITHUB_PERSONAL_ACCESS_TOKEN=<your-token> ghcr.io/github/github-mcp-server

	import argparse
	import torch
	import torch.nn.functional as F
	from transformers import AutoModelForSequenceClassification, AutoTokenizer
	# Placeholder for speech-to-text library (e.g., SpeechRecognition)
	# import speech_recognition as sr
	import os
	import numpy as np
	import pandas as pd
	from torch.utils.data import Dataset, TensorDataset, DataLoader, RandomSampler