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AI / GitHub Copilot CLI Fundamentals Interview Questions

What is MCP (Model Context Protocol) support in Copilot CLI and how do you use it?

Model Context Protocol (MCP) is an open standard that allows AI models to connect to external tools and data sources through a standardised interface. Copilot CLI supports MCP via the /mcp slash command, allowing you to extend it with a rich ecosystem of third-party integrations.

# Manage MCP server connections inside a Copilot CLI session
/mcp                          # view connected MCP servers
/mcp add <server-name>        # connect a new MCP server
/mcp remove <server-name>     # disconnect an MCP server

# GitHub's own native MCP server
# /mcp includes github - lets Copilot work with:
# - Issues and pull requests
# - Branches and commits
# - Repository metadata
# All through the MCP protocol

Why MCP matters: without MCP, Copilot CLI's tool access is limited to local file system, shell, and GitHub.com. With MCP servers you can connect Copilot to:

  • Databases (query schema, run migrations)
  • Monitoring tools (query logs, dashboards)
  • Issue trackers (Jira, Linear)
  • Cloud providers (AWS, GCP tools)
  • Community-built integrations

GitHub's native MCP server is built in and lets Copilot work with GitHub issues, branches, and pull requests programmatically - not just through file edits. This is described as the preferred way to interact with GitHub resources in Copilot CLI.

What is the purpose of MCP (Model Context Protocol) support in GitHub Copilot CLI?
Which slash command is used to manage MCP server connections inside a Copilot CLI session?

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