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MCP

Model Context Protocol (MCP) servers extend Claude Code with external tools and services, like adding specialized tools to a developer's toolbox.

What MCP Enables

Think of MCP as expanding Claude Code's capabilities beyond its built-in features:

  • External Tool Access - Connect to version control, databases, APIs, and specialized services
  • Persistent Memory - Remember project context and decisions across sessions
  • Custom Integrations - Add domain-specific tools for your workflow
  • Enhanced Automation - Coordinate multiple tools for comprehensive development tasks
  • Specialized Knowledge - Access tools with expertise in specific technologies or domains

How to Add

Install MCP servers using the claude mcp add-json command:

bash
# Add a server (example with Git server)
claude mcp add-json git '{"command": "uvx", "args": ["mcp-server-git"]}' -s user

# Verify it's installed
claude mcp list

Different servers use different package managers based on their platform (Python, Node.js, etc.).

How to Use

Once installed, MCP servers work automatically in conversations:

bash
# Use natural language - Claude automatically chooses the right tools
"Review my changes and create a commit with a good message"
# → Claude uses Git server to analyze changes and create commit

"Remember we're using PostgreSQL with Redis for caching"  
# → Claude uses Memory server to store architecture decisions

"Find all TODO comments in the codebase"
# → Claude uses file analysis tools to search across files

Quick Example

bash
# Install Git server for version control
claude mcp add-json git '{"command": "uvx", "args": ["mcp-server-git"]}' -s user

# Verify it's working
claude mcp list

# Use it naturally in conversation
"Review my changes and create a commit with a good message"
# → Claude automatically uses the Git server to analyze changes and commit

What This Enables

Version Control Integration:

  • Analyze repository changes and create meaningful commits
  • Manage branches and coordinate development workflows
  • Review code history and track project evolution

Persistent Context:

  • Remember architectural decisions across sessions
  • Maintain project-specific knowledge and preferences
  • Build understanding of codebase patterns over time

Enhanced Analysis:

  • Search and analyze large codebases efficiently
  • Connect to external services and APIs for data
  • Perform complex operations that require specialized tools

Custom Workflows:

  • Integrate with your specific technology stack
  • Automate domain-specific development tasks
  • Coordinate multiple tools for comprehensive automation

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