15 Best MCP Servers in 2026

github/github-mcp-server

GitHub's official MCP server. Access repositories, issues, PRs, code search, and more directly from your AI assistant. Essential for any developer workflow.

microsoft/playwright-mcp

Microsoft's browser automation server. Let AI control browsers, take screenshots, fill forms, and navigate web pages. Perfect for web scraping and testing automation.

awslabs/mcp

Official AWS MCP servers for cloud infrastructure. Manage EC2, S3, Lambda, and other AWS services through AI. Great for DevOps and cloud automation.

upstash/context7

The highest-starred MCP server. Provides up-to-date code documentation for LLMs. Query any library's docs directly in your AI assistant—no more hallucinated APIs.

jlowin/fastmcp

The fastest way to build MCP servers in Python. Simple decorators, automatic type validation, built-in testing. If you're building custom servers, start here.

from fastmcp import FastMCP
mcp = FastMCP("My Server")

@mcp.tool()
def hello(name: str) -> str:
    return f"Hello, {name}!"

modelcontextprotocol/inspector

Official visual testing tool for MCP servers. Debug tool calls, inspect responses, test your server before deploying. Essential for development.

mindsdb/mindsdb

Federated query engine for AI. Connect to 100+ data sources (PostgreSQL, MySQL, MongoDB, Snowflake, etc.) through a single MCP server. Query anything with natural language.

googleapis/genai-toolbox

Google's MCP server for databases. Supports AlloyDB, Cloud SQL, Spanner, and more. Built-in connection pooling, authentication, and security.

GLips/Figma-Context-MCP

Extract Figma designs for AI coding agents. Cursor, Claude, and others can understand your designs and generate accurate code. Huge time-saver for design-to-code workflows.

idosal/git-mcp

Free, open-source remote MCP server for any GitHub project. Access documentation, code, and context without hallucinations. No setup required—just point to any repo.

oraios/serena

Powerful coding agent toolkit with semantic retrieval and editing. Understands codebases at a deep level, finds relevant code, and makes precise edits.

BeehiveInnovations/pal-mcp-server

Universal AI model bridge. Use Claude Code, Gemini CLI, Codex CLI with any model—GPT-4, Gemini, OpenRouter, Ollama, and more. All models working as one.

hangwin/mcp-chrome

Chrome extension-based MCP server. Control your actual browser— navigate, click, fill forms, extract content. Great for automation that needs real browser context.

LaurieWired/GhidraMCP

MCP server for Ghidra reverse engineering. Let AI analyze binaries, decompile code, and understand assembly. Essential for security researchers.

0x4m4/hexstrike-ai

Cybersecurity MCP server with 150+ tools. Automated pentesting, vulnerability discovery, bug bounty automation. For security professionals only.

1. Install an MCP Client

Claude Desktop, Cursor, VS Code with Continue, or any MCP-compatible client.

2. Configure Servers

Add servers to your client's config file (usually claude_desktop_config.json).

3. Start Building

Learn to build your own servers with our Python tutorial.