Top MCP Servers You Can Use Today

July 10, 2026 · 10 min read

Introduction

The MCP ecosystem already has dozens of pre-built servers for popular services. You can plug them into any MCP-compatible client (Claude Desktop, Codex, or custom agents built with the OpenAI Agents SDK) and instantly give your AI agent access to real tools and data.

Here are the most useful MCP servers available today, with setup instructions for each.

1. Filesystem Server

What it does: Read, write, and manage local files. Your AI agent can browse directories, read files, create new files, and edit existing ones.

npx -y @modelcontextprotocol/server-filesystem /path/to/allowed/dir

Use cases: Code review, document processing, configuration management, log analysis.

Security note: Only grant access to directories the agent needs. Don't expose your entire home directory.

2. GitHub Server

What it does: Access repositories, issues, pull requests, and code. Your agent can search code, read PR descriptions, create issues, and review commits.

npx -y @modelcontextprotocol/server-github

You'll need a GitHub personal access token set as GITHUB_TOKEN environment variable.

Use cases: Automated code review, issue triage, release note generation, dependency analysis.

3. PostgreSQL / Database Server

What it does: Connect to PostgreSQL databases, run queries, explore schemas. The agent can discover table structures and execute read-only or read-write queries.

npx -y @modelcontextprotocol/server-postgres postgresql://user:pass@localhost:5432/db

Use cases: Data analysis, schema documentation, query optimization suggestions, reporting.

Security: Use a read-only database user whenever possible.

4. Web Fetching Server

What it does: Fetch web pages and APIs. Your agent can read documentation, check live data, and interact with REST APIs.

npx -y @modelcontextprotocol/server-fetch

Use cases: Research, documentation lookup, API testing, price checking, news monitoring.

5. Puppeteer (Browser Automation) Server

What it does: Control a headless browser. Your agent can navigate pages, take screenshots, click elements, fill forms, and extract data from JavaScript-rendered sites.

npx -y @modelcontextprotocol/server-puppeteer

Use cases: Web scraping, form automation, visual regression testing, screenshot capture.

6. Slack Server

What it does: Read and send Slack messages, list channels, search history. Your agent can participate in conversations and retrieve context from past messages.

npx -y @modelcontextprotocol/server-slack

Requires a Slack app token with appropriate scopes.

Use cases: Automated summaries, message drafting, channel monitoring, on-call assistance.

7. Google Drive Server

What it does: Access Google Drive files, search documents, read content. Your agent can find and process documents stored in Drive.

npx -y @modelcontextprotocol/server-google-drive

Requires OAuth 2.0 credentials for Google Drive API.

Use cases: Document summarization, content extraction, file organization, research.

8. Memory Server

What it does: Persistent memory across sessions. Your agent can store and retrieve facts, user preferences, and conversation context.

npx -y @modelcontextprotocol/server-memory

Use cases: Long-running agents that need to remember context across restarts, personal assistants that learn user preferences.

How to Choose

Running Multiple Servers

You can run multiple MCP servers simultaneously. Your agent will discover all tools from all servers and decide which to use based on the task:

# Claude Desktop config
{
  "mcpServers": {
    "filesystem": { "command": "npx", "args": ["-y", "@modelcontextprotocol/server-filesystem", "."] },
    "github": { "command": "npx", "args": ["-y", "@modelcontextprotocol/server-github"] },
    "fetch": { "command": "npx", "args": ["-y", "@modelcontextprotocol/server-fetch"] }
  }
}

The agent sees all tools from all three servers and picks the right one for each task automatically.