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

The GitHub MCP Server is the most popular MCP server in the ecosystem. It gives ChatGPT full access to your repositories — creating issues, reviewing pull requests, searching code, managing branches, and reading files.

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

Playwright MCP brings browser automation to ChatGPT. It can navigate web pages, fill forms, take screenshots, extract content, and interact with any web application.

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

Firecrawl MCP turns any website into clean, structured data. It handles JavaScript rendering, anti-bot protections, and outputs clean markdown that ChatGPT can reason about.

Best for: Research, competitive analysis, content aggregation.

Key tools: scrape_url, crawl_url, search, extract

5. Sequential Thinking

Sequential Thinking MCP enhances ChatGPT's reasoning by forcing step-by-step analysis. When connected, ChatGPT can break complex problems into structured chains of thought.

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

Key tools: create_thinking_chain, add_thought, get_chain

6. Slack MCP

The Slack MCP Server connects ChatGPT to your Slack workspace. Search messages, summarize channels, post updates, and manage conversations.

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

Notion MCP gives ChatGPT access to your Notion workspace. It can read pages, search databases, create new entries, and update existing content.

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

Key tools: search, get_page, create_page, update_database

8. Docker MCP

Docker MCP lets ChatGPT manage Docker containers — starting, stopping, inspecting logs, and managing images. Perfect for DevOps automation.

Best for: Container management, deployment automation, debugging.

Key tools: list_containers, start_container, container_logs, pull_image

9. Linear MCP

Linear MCP integrates project management directly into ChatGPT. Create issues, update sprints, assign tasks, and track progress.

Best for: Engineering teams using Linear for project management.

Key tools: create_issue, update_issue, search_issues, list_projects

10. Stripe MCP

Stripe MCP gives ChatGPT access to your billing data. Analyze revenue, monitor subscriptions, detect churn patterns, and generate financial reports.

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

Go to Settings → Apps → Advanced settings
Enable Developer Mode
Click Add connector and enter the server's MCP endpoint URL
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.