Best MCP Tools for ChatGPT in 2026

ChatGPT now supports MCP tools — and the ecosystem already has hundreds of servers you can connect. This is a curated list of the most useful ones, organized by what you actually want to do with them. Each entry includes what it does, how to set it up, and a real example of using it in ChatGPT.

If you need help adding any of these to ChatGPT, follow our How to Add MCP Tools to ChatGPT setup guide first. All tools listed here work with ChatGPT's remote MCP support via streamable HTTP.

How to find MCP tools

Before the list, here are the best discovery resources:

• MCP Registry — The official registry for published MCP servers. Browse by category, search by keyword, and get setup instructions.
• Reference Servers Repository — Official MCP reference implementations maintained by the MCP project. 80,000+ GitHub stars.
• Awesome MCP Servers — A community-curated list with hundreds of entries organized by category.

Now to the tools.

Productivity

Filesystem

Access and manage files on your local machine or a remote file store. Read file contents, list directories, search for files by name or content. Useful for asking ChatGPT to analyze a codebase, review documents, or find specific files.

Try: "Read the README.md in my project folder and summarize the setup instructions"

Source: MCP Reference Servers — Filesystem

Memory

Persistent memory across conversations. The server stores key-value pairs that ChatGPT can read and write. Useful for maintaining context about your projects, preferences, or ongoing work.

Try: "Remember that my preferred programming language is TypeScript and I use Vitest for testing"

Source: MCP Reference Servers — Memory

Sequential Thinking

A reasoning tool that helps ChatGPT break down complex problems step by step. It maintains a chain of thought with the ability to revise and branch. Useful for complex analysis, planning, and problem-solving.

Try: "Use sequential thinking to help me plan the architecture for a new microservice"

Source: MCP Reference Servers — Sequential Thinking

Development

GitHub

Full GitHub integration — search repositories, read files, create issues, manage pull requests, review code. Useful for code review workflows, issue triage, and repository management without leaving the chat.

Try: "Show me the open pull requests in my repo and summarize the changes in each one"

Source: Available in the MCP Registry

Git

Local git repository operations — view diffs, check status, read commit history, blame files. Useful for understanding code changes, debugging issues, and navigating repository history.

Try: "Show me what changed in the last 5 commits and highlight any breaking changes"

Source: MCP Reference Servers — Git

Sentry

Pull error reports, stack traces, and issue details from Sentry. Useful for debugging production issues without switching to the Sentry dashboard.

Try: "Show me the top 5 unresolved errors in my project from the last 24 hours"

Source: Available in the MCP Registry

Data

PostgreSQL

Query PostgreSQL databases directly from ChatGPT. Supports read-only queries with schema introspection. The AI can see your table structure and write queries based on natural language questions.

Try: "How many new users signed up in the last 7 days? Break it down by day."

Source: Available in the MCP Registry

Google Sheets

Read and write Google Sheets. Useful for working with spreadsheet data, generating reports, and updating shared documents.

Try: "Read my Q1 sales spreadsheet and create a summary of revenue by region"

Source: Available in the MCP Registry

Fetch

A general-purpose HTTP fetch tool. Makes HTTP requests and returns the response. Useful for querying any REST API, scraping web pages, or checking endpoint health.

Try: "Fetch the current Bitcoin price from the CoinGecko API"

Source: MCP Reference Servers — Fetch

Communication

Slack

Search messages, read channels, post messages, and manage Slack conversations. Useful for catching up on discussions, searching for decisions, and posting updates.

Try: "Search the #engineering channel for any messages about the deployment last Friday"

Source: Available in the MCP Registry

Email (Gmail / Outlook)

Read, search, and compose emails. Useful for email triage, drafting responses, and searching for specific conversations.

Try: "Find all emails from the legal team in the last week and summarize the key action items"

Source: Available in the MCP Registry

Knowledge & Research

Web Search (Brave)

Search the web using Brave Search. Returns ranked results with titles, URLs, and snippets. Useful for research, fact-checking, and finding current information.

Try: "Search for the latest MCP SDK release notes"

Source: Available in the MCP Registry

Puppeteer

Browser automation — navigate web pages, take screenshots, extract content, fill forms. Useful for scraping dynamic content, testing web applications, and capturing visual information.

Try: "Navigate to our landing page and take a screenshot of the hero section"

Source: Available in the MCP Registry

Time & Utilities

Time

Get current time in any timezone, convert between timezones, calculate time differences. Simple but surprisingly useful for scheduling across teams.

Try: "What time is it in Tokyo right now, and what is the time difference from Berlin?"

Source: MCP Reference Servers — Time

Building your own

The tools above are great starting points, but the real power of MCP is building tools specific to your workflow. A CRM dashboard for your sales team. A product search for your e-commerce store. An analytics explorer for your database.

With drio, you can build custom MCP tools visually:

1. Define the tool schema (what inputs it needs)
2. Connect to your API (any REST endpoint)
3. Design the response widgets (tables, charts, cards)
4. Deploy with one click

Your custom tool gets the same MCP endpoint URL that works in ChatGPT, Claude, Cursor, and every other MCP client. No SDK code, no server infrastructure.

For a hands-on tutorial, see Building MCP Tools with Rich UIs. For the full build-and-deploy walkthrough, see How to Add MCP Tools to ChatGPT.

Tips for choosing and using MCP tools

Start with 2-3 tools, not 20

Adding too many tools at once confuses the AI. It has to decide which tool to use for each request, and a long list of similar tools leads to wrong selections. Start with a few that cover your core workflow, then add more as needed.

Write good tool descriptions

The tool description is how ChatGPT decides whether to invoke it. Vague descriptions ("general purpose tool") lead to unreliable invocations. Specific descriptions ("search for flights between two airports on a given date") lead to accurate invocations.

Test in MCP Inspector first

Before connecting a tool to ChatGPT, test it with the MCP Inspector. Inspector lets you browse available tools, invoke them with custom parameters, and see the raw JSON-RPC messages. This catches issues before they reach ChatGPT.

Check for authentication requirements

Some MCP servers require API keys or OAuth tokens. Make sure you have the necessary credentials before connecting. ChatGPT's MCP settings include fields for authentication configuration.

What is coming next

The MCP tool ecosystem is growing fast. A few trends to watch:

• Enterprise tools — Salesforce, ServiceNow, SAP, and other enterprise platforms are building official MCP servers
• Vertical-specific tools — E-commerce, healthcare, legal, and financial services tools purpose-built for industry workflows
• Tool composition — Servers that chain multiple tools together for complex workflows (search > filter > analyze > report)

We update this list quarterly. For the latest additions, check the MCP Registry and the Awesome MCP Servers repository.

The best MCP setup is not the one with the most tools — it is the one where every tool serves a clear purpose in your daily workflow.