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"],
  "args": ["/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:

@modelcontextprotocol/server-git — read-only git history
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.

/invite @Claude-Bot  # in your Slack workspace

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. @toolblip/mcp — Developer Tools

Exposes 17 useful developer tools directly to Claude Code: JSON formatting, hash generation, UUID creation, cron parsing, SQL formatting, JWT decoding, color conversion, and more.

Use it for: Quick dev tasks without leaving the AI conversation.

# Claude Code
/mcp add toolblip npx -y @toolblip/mcp

All tools run locally in Node.js — no data leaves your machine.

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

# See available servers at modelcontextprotocol.io
# Or just add one:
/mcp add 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
Dev tools in AI	@toolblip/mcp
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.

👉 Browse Toolblip developer tools →