OpenAI recently added first-class support for MCP (Model Context Protocol) servers in ChatGPTās Developer Mode, and thatās a pretty big deal for developers, even if you use ChatGPT for your day-to-day tasks. Instead of treating ChatGPT as a read-only assistant that only suggests what to click, Developer Mode lets the model interact with external tools and services through standardised MCP servers. In practice, that means ChatGPT can fetch live data, call APIs, and crucially, propose actions that you can confirm before they run.
See the community launch thread for MCP tools in Developer Mode; and official docs here.
What is an MCP Server btw?
MCP servers expose discrete capabilities (like reading data, running an action, or letās say return some structured results) in a predictable format the model can use. You can point ChatGPT at a hosted MCP or you can host a local MCP yourself, wire up OAuth or scoped API keys, and grant the assistant limited, auditable access to your apps. Developer Mode keeps the human in the loop: writes require explicit confirmation, and read calls are visible in the conversation.
You can learn more about mcp servers here: https://modelcontextprotocol.io
(btw, If youāre not familiar, Composio provides you with more than 250+ apps to connect AI Agents via Auth to external APIs, Such that you donāt need to manage the Auth layer yourself. You can learn more about the toolkits here.)
For anyone building tooling, internal automations, or just trying to make their workflows less clicky, MCPs are the practical bridge between natural language and actual side-effecting operations. Below Iāve rounded up the top MCP servers that bring the most immediate, day-to-day value to developer workflows, the ones Iād try first if I were wiring ChatGPT into my stack.
How to connect ChatGPT with MCP servers
- In ChatGPT, open Settings ā Connectors ā Advanced Settings ā Developer Mode
- Enable Developer Mode. Youāll see an option to add connectors in the chat input.
- Add or point to an MCP server. Many servers publish their own quick-start commands if youāre running them.
- For any action that writes data, ChatGPT will ask you to confirm before proceeding with that action.
You can follow along this configuration for Rube MCP below, other connections will need similar/same actions.
Note: Keep secrets like API keys scoped and use least privilege keys. If youāre not much familiar with MCPs, I would suggest you to treat them as production automation tools because any connected app has the ability to run real actions against your tools.
1. Rube MCP: A Universal MCP server for all your apps
Most MCP servers connect you to a single tool – Github, Notion, Slack, etc.. That’s fine if you only need one or two, but it quickly gets messy when you’re working around several MCP servers. Some MCP clients even limit how many MCP servers you can add, because once you stack up too many of them, the model’s context window gets smaller and even harder to work with.
Rube MCP by Composio solves that by giving you a universal place to manage them all, so instead of switching between separate MCp servers, you simply connect to Rube once and get access to 500+ apps through Composio’s integration layer. That includes Slack, Notion, Github, Linear and plenty more like them.
So next time, if you wanna run a prompt like this: “Take new Github issues, and post them in Slack”, you can run it entirely in Rube without any extra configurations, and thus you don’t have think about which server does what.
If you want to get started with Rube MCP in your ChatGPT interface, here’s a short demo for the same:
Resources to get started:
https://rube.app
https://github.com/ComposioHQ/Rube
2. Stripe
Stripe provides an official MCP server that lets you manage your payments right inside an MCP Client. If you want to check payments, send a refund, or pull some quick information, you’ll have to log into the Stripe dashboard, click around and maybe even copy data somewhere else. With the official MCP support, you can do the same things directly inside ChatGPT.
You can ask it for stuff like:
- Show me all unpaid invoices this week
- What’s today’s revenue so far?
Behind the scenes, the server just exposes a set of Stripeās API endpoints in a format that ChatGPT can call. You connect it with an API key, and from then on you donāt need to switch between tabs whenever you want quick payment info.
If you spend time in support or billing, this cuts out a lot of back-and-forth. Instead of opening Stripe for every little thing, you just stay in your chat window. You can read more about the MCP server here
3. Cloudflare Observability
Cloudflare Observability MCP server allows an MCP client to access performance and uptime metrics for websites and applications. Instead of manually checking dashboards, developers can query latency, error rates, or traffic patterns directly through their AI agent.
This is useful for monitoring system health, detecting issues early, or comparing metrics across environments without switching between multiple tools.
Example queries you might run:
- Fetch uptime stats for a specific domain
- List recent error logs
- Compare traffic spikes over the past 24 hours
Resources:
https://github.com/cloudflare/mcp-server-cloudflare
https://developers.cloudflare.com
4. ThoughtSpot
ThoughtSpotās MCP server brings analytics and reporting capabilities into your MCP client. Rather than navigating complex BI tools, you can request data summaries or perform searches in plain language. Itās particularly handy for quickly checking business metrics, generating insights for reports, or exploring datasets without leaving your workflow.
Example use cases:
- Retrieve sales metrics for a particular product
- Identify top-performing regions or categories
- Generate simple tables or summaries for analysis
Resources to get started with:
https://agent.thoughtspot.app
https://github.com/thoughtspot/mcp-server
5. Carbon Voice
Carbon Voice exposes productivity and communication-related functions to your AI Agent/MCP Client. You can access notes, reminders, or task-related information without switching apps. This is useful for staying organized, automating task updates, or querying ongoing action items directly in the chat.
Possible actions you can peform:
- List upcoming tasks
- Summarize meeting notes
- Send notifications to team members
Docs: https://www.getcarbon.app/mcp/get-started-with-mcp
6. Zine
Zine provides memory and context management capabilities for AI agents. Your MCP Client can store, retrieve, or update contextual information across interactions from various apps/tools. This helps maintain continuity in conversations or workflows, especially for long-running projects or multi-step automations.
You can perform actions like, storing key project decisions in Notion, Retrieving context from previous interactions on Twitter, track your progress on tasks in Linear over time, and a lot more.
Resources to get started:
https://www.zine.ai
https://www.youtube.com/watch?v=Qd7EkwzJbJg
7. Needle
Needle is focused on knowledge retrieval and RAG (retrieval-augmented generation) functions. ChatGPT can pull structured information from internal or external knowledge bases efficiently. This can be valuable for research, customer support, or creating documentation without manually searching multiple sources.
This is especially valuable for:
- Customer support teams needing quick answers from internal documentation
- Researchers pulling references from multiple knowledge repositories
Example queries you can try:
- Search our internal knowledge base for all troubleshooting steps related to 502 errors
- Summarize the top 3 FAQs from our product docs
Resources to get started: https://docs.needle.app/docs/guides/mcp/needle-mcp-server
8. Fireflies
Fireflies provides an MCP server that connects your AI agent to meeting intelligence. Instead of manually digging through call recordings or transcripts, your MCP client can fetch summaries, action items, or highlights directly.
With this server, you can:
- Retrieve transcripts of past meetings
- Generate summaries or follow-up notes
- Search across conversations for specific topics or decisions
This is especially useful for teams that run multiple customer or internal calls daily and want meeting data to flow into their broader workflows (like syncing with Notion, Slack, or project tools).
Resources to get started:
https://guide.fireflies.ai/articles/8272956938-learn-about-the-fireflies-mcp-server-model-context-protocol
https://fireflies.ai/blog/fireflies-mcp-server
9. Webflow
The Webflow MCP server lets your MCP client or AI agent interact directly with Webflow projects. Instead of switching into the Webflow dashboard for every update, you can query collections, modify CMS items, and trigger publishes programmatically.
You can perform typical actions like:
- Listing CMS collections
- Creating or updating CMS entries (e.g., blog posts, product data, case studies)
- Publishing a site update
- Running batch updates across multiple projects
This makes it easier to keep content and design workflows consistent without manually clicking through the Webflow UI.
Resources:
https://developers.webflow.com/data/docs/ai-tools
https://github.com/webflow/mcp-server
10. Apify
Apify MCP server provides web scraping and automation capabilities. Your MCP client, ChatGPT in our case can request structured data from websites, automate repetitive tasks, or extract content from multiple sources. It can be useful for market research, data collection or monitoring online content without manual effort.
For example, you could pull product listings from an e-commerce site, collect user reviews or ratings, or monitor price changes over time. This allows you to gather insights and track online trends efficiently without manually visiting each site.
Quickstart guide: https://docs.apify.com/platform/integrations/mcp
Final Thoughts
These were the handpicked MCP servers Iād start with today, not because theyāre flashy but because they solve everyday bottlenecks I face. The case for MCPs is simple: they give LLMs a standard, auditable way to take action with least privilege access. That means you keep control while still getting real leverage. For anyone who wants to explore more MCP servers or follow up on similar tools, you can go through this page: https://www.remote-mcp.com/
If you want one place to start and stay, use Rube MCP. One connection gives you access to hundreds of apps through a single server, unified auth, and consistent safety prompts for writes. It keeps your context tidy (no juggling multiple servers), scales as your stack grows, and lets you mix tools GitHub, Slack, Stripe, Notion, without reconfiguring every time. Start with Rube, add only what you need, and keep the humanāinātheāloop by design.
