Best MCP Servers for ChatGPT in 2026

OpenAI officially adopted the Model Context Protocol (MCP) in March 2025, and since then ChatGPT has become one of the most popular MCP clients. Whether you're using ChatGPT through the UI or building with the Responses API, MCP servers let you connect your AI assistant to virtually any external tool or data source.

Here are the best MCP servers you can use with ChatGPT right now.

How ChatGPT Connects to MCP Servers

ChatGPT supports MCP through two paths:

• ChatGPT Apps (UI): Enable Developer Mode in Settings, then add any public MCP server by entering its /mcp endpoint URL. Available on Team, Business, Enterprise, and Education plans.
• Responses API: Use the mcp tool type with a server_url for any remote MCP server, or a connector_id for OpenAI's built-in connectors.

OpenAI also maintains first-party connectors for Google Drive, Google Calendar, SharePoint, Dropbox, and Box — these work without any server setup.

1. GitHub MCP Server

Best for: Developers who want ChatGPT to help manage their GitHub workflow without switching tabs.

Key tools: create_issue, create_pull_request, search_code, get_file_contents, list_commits

2. Playwright Browser Automation

Best for: Automated web testing, form filling, data extraction from websites.

Key tools: navigate, screenshot, click, fill, evaluate

3. PostgreSQL / Supabase MCP

The Supabase MCP Server

and PostgreSQL MCP let ChatGPT query your database using natural language. Ask questions about your data and get SQL-backed answers instantly.

Best for: Data analysts and developers who want to query databases through conversation.

Key tools: query, list_tables, describe_table, execute_sql

4. Firecrawl

Best for: Research, competitive analysis, content aggregation.

Key tools: scrape_url, crawl_url, search, extract

5. Sequential Thinking

Best for: Complex analysis, strategic planning, multi-step problem solving.

Key tools: create_thinking_chain, add_thought, get_chain

6. Slack MCP

Best for: Team leads who want AI-powered Slack summaries and automated responses.

Key tools: search_messages, post_message, list_channels, get_channel_history

7. Notion MCP

Best for: Knowledge management, documentation automation, content workflows.

Key tools: search, get_page, create_page, update_database

8. Docker MCP

Best for: Container management, deployment automation, debugging.

Key tools: list_containers, start_container, container_logs, pull_image

9. Linear MCP

Best for: Engineering teams using Linear for project management.

Key tools: create_issue, update_issue, search_issues, list_projects

10. Stripe MCP

Best for: SaaS founders and finance teams who want AI-powered billing insights.

Key tools: list_charges, get_subscription, search_customers, revenue_report

Setting Up MCP with ChatGPT

Through the ChatGPT UI

1. Go to Settings → Apps → Advanced settings
2. Enable Developer Mode
3. Click Add connector and enter the server's MCP endpoint URL
4. Give it a name and description — ChatGPT uses this to decide when to invoke it

Through the Responses API

{
  "tools": [{
    "type": "mcp",
    "server_label": "github",
    "server_url": "https://your-mcp-server.com/mcp",
    "require_approval": "never"
  }]
}

For authenticated servers, ChatGPT supports OAuth 2.1 with PKCE.

Tips for Using MCP with ChatGPT

• Start simple: Connect one server at a time and test it before adding more.
• Use descriptive names: ChatGPT decides when to use each connector based on its name and description.
• Prefer read-only first: Start with servers that only read data before enabling write operations.
• Check the FastMCP catalog: Browse all MCP servers on FastMCP to find servers that match your workflow.

The MCP ecosystem is growing fast — with over 10,000 servers available, there's likely an MCP server for any tool or service ChatGPT needs to connect with.