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What are MCP servers, and how do they extend what Claude Code can do?

The question

What are MCP servers, and how do they extend what Claude Code can do?

Efficient

MCP stands for Model Context Protocol. It is an open standard designed to let AI models—like Claude—interact securely and consistently with external data, tools, and systems.

Think of it as a universal "adapter" or "translator." Before MCP, if you wanted an AI to access a specific database, a GitHub repository, or a local file system, you had to build custom, one-off integrations for each one. MCP standardizes how those connections work.

How they extend what Claude Code can do:

Claude Code is an agent designed to help you build and maintain software directly in your terminal. MCP servers act as the "limbs" that give Claude Code reach beyond its built-in knowledge:

  • Access to Proprietary Data: If your company uses a specific internal API or a private database, an MCP server can provide Claude Code with a direct bridge to that data. It can then query, read, or summarize that information without you having to manually copy-paste it into the chat.
  • Interaction with Specialized Tools: If you have local scripts or niche software tools (e.g., a specific project management CLI or a custom log-analysis tool), an MCP server can expose those tools to Claude Code. Claude can then invoke those tools directly to solve problems rather than just telling you how to solve them.
  • Contextual Awareness: MCP servers can provide "live" context. For example, an MCP server connected to your Jira board or Slack can allow Claude Code to see the current state of a task or recent team discussions, allowing it to provide solutions that are relevant to your current project status.
  • Modularity: Because MCP is a standard, you don't have to keep reconfiguring Claude Code every time you add a new data source. You simply connect the relevant MCP server, and Claude Code can immediately understand how to communicate with it.

In short, MCP transforms Claude Code from a tool that can only see the files in your current directory into an agent capable of interacting with your entire technical ecosystem.

Answering this used an estimated 90% less than EcoRouter’s configured frontier baseline

Routed to
Efficient
Tokens
375 in / 425 out
Cost
$0.0007
Baseline
$0.0075

Figures recorded by EcoRouter when this answer was generated, and fixed at that moment. Cost comparisons are against a configured reference model, not a measurement of electricity, carbon or water.

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