Top 10 MCP Servers Every Developer Should Know About

The Model Context Protocol (MCP) lets AI assistants like Claude Code connect to real-world tools and data sources. Unlike traditional API integrations, MCP provides a standardized way for AI to discover and use tools.

Here's the 10 most practical MCP servers available right now.

1. File System - Read, Write, Search

The most fundamental MCP server. Gives AI read/write access to your filesystem with configurable permissions.

Use it for: Having Claude Code read your codebase, create files, search for code patterns across your project.

{
  "command": "npx",
  "args": ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/allowed/directory"]
}

Best for: Projects where you want AI to understand and modify code directly.

2. Git - Search History, Read Diffs, Create Commits

Git integration lets Claude query repository history, read file contents at any commit, see diffs, and even create commits.

Use it for: Understanding when and why code changed, reviewing git history without leaving the AI conversation, automating commit messages.

Popular servers:

GitHub MCP server - full GitHub API access

3. Database Connectors

Connect Claude to PostgreSQL, MySQL, SQLite, or MongoDB. Run queries, explore schemas, even get AI-assisted query writing.

Use it for: Writing SQL with AI help, exploring unfamiliar databases, validating query results.

Popular:

PostgreSQL MCP server
SQLite MCP server

⚠️ Security note: Always use read-only connections for AI database access. Never give AI write access to production databases.

4. Slack - Send Messages, Read Channels

The Slack MCP server lets Claude read channels and send messages.

Use it for: Setting up AI-powered incident alerts, posting deployment notifications, summarizing channel activity.

Check your Slack integration's installation and permission steps before granting workspace access.

5. Google Workspace - Drive, Docs, Sheets

Connect Claude to your Google Workspace for reading documents, searching Drive, and updating Sheets.

Use it for: Summarizing meeting notes from Google Docs, reading data from Google Sheets, automating document workflows.

Requires OAuth setup. Worth it for teams heavily invested in Google Workspace.

6. Figma MCP Server - Design Context

The Figma MCP server gives AI coding tools access to design context from Figma files, including frames, components, variables, and layout data.

Use it for: Building an interface from a Figma design while checking its layout and components in your coding tool.

Figma documents both remote and desktop server setup. Follow its official setup guide for your client.

7. Brave Search - Real-Time Web Search

Give Claude Code the ability to search the web in real-time.

Use it for: Researching error messages, looking up documentation, fact-checking AI-generated code.

{
  "command": "npx",
  "args": ["-y", "@modelcontextprotocol/server-brave-search"],
  "env": {
    "BRAVE_API_KEY": "your-api-key"
  }
}

8. Fetch / HTTP - Web Content

The Fetch MCP server lets Claude retrieve and analyze web pages, APIs, and any HTTP content.

Use it for: Pulling documentation, reading API responses, analyzing web content.

Works without an API key for most public endpoints.

9. Sequential Thinking - Better AI Reasoning

Not a tool server but a thinking enhancement. Adds structured, sequential thinking to Claude's problem-solving process.

Use it for: Complex debugging, architectural decisions, multi-step problems.

Installs as a prompt server rather than a tool server.

10. Memory - Persistent Context Across Sessions

The Memory MCP server gives Claude persistent memory across sessions. It stores facts, preferences, and context that persist between conversations.

Use it for: Maintaining context about a project across sessions, remembering user preferences, building long-term AI assistants.

Quick Start: Add MCP to Claude Code

# Add a local server from your terminal:
claude mcp add --transport stdio filesystem -- npx -y @modelcontextprotocol/server-filesystem ~/Projects

# Then use it naturally in conversation:
# "Read all the TypeScript files in src/ and explain the architecture"

Which Should You Start With?

If you want to...	Start with...
AI that reads your code	File System + Git
AI-assisted database work	Database connector (read-only!)
Web search from AI	Brave Search
Design context in AI	Figma MCP server
Persistent AI memory	Memory server

MCP is changing how we interact with AI assistants. The ability to give Claude Code real tools - not just words - is a fundamental shift in what's possible. Start with one server, see how it changes your workflow.

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