AI brokers are now not simply answering questions. They learn code, deploy apps, run workflows, transfer cash, search the online, and bear in mind what occurred final week. MCP servers make that potential by connecting fashions to actual methods.
MCP replaces brittle APIs with structured, permission-aware entry to instruments like GitHub, Stripe, Notion, databases, and internet search. This text solutions one query: which MCP servers are used if you find yourself constructing methods in 2026.
1. For working with code

GitHub MCP | Your code’s nervous system
GitHub MCP lets your agent learn repositories, examine commits, assessment pull requests, and monitor points whereas staying absolutely permission-aware. As an alternative of guessing what your code does, the AI can really look.
Your GitHub repository is managed autonomously by AI. Actual agentic growth begins!
Used for
- Studying and summarizing code
- Reviewing pull requests
- Understanding venture construction
- Monitoring points and adjustments
GitHub MCP permits AI to behave like a developer as a substitute of simply one other software.
2. For transport merchandise

Vercel MCP | Deployment and runtime reality
Vercel MCP lets your agent see what is definitely reside. Builds, logs, deployments, previews, and atmosphere configuration are all seen in pure language.
Used for
- Inspecting deployments
- Studying construct logs
- Debugging failure
- Understanding internet hosting state
That is the place AI crosses from coding into DevOps.
3. For designing workflows

Figma MCP | Design context for code
Figma MCP provides your AI agent direct entry to your design information. It may well learn frames, examine parts, pull variables, and perceive structure construction as a substitute of guessing from screenshots or hand-wavy descriptions.
Product design now not stays restricted to human-understandable PDF’s utilizing Figma MCP.
Used for
- Studying UI layouts
- Extracting design tokens
- Understanding parts
- Turning frames into code
Good for seamlessly integrating AI in design processes.
4. For operating companies

Stripe MCP | Cash and billing intelligence
Stripe MCP provides your AI entry to balances, clients, invoices, subscriptions, and fee exercise. That is the place brokers begin interacting with actual income in a safe method.
Gone are the occasions of error inclined on-line transactions.
Used for
- Billing visibility
- Subscription administration
- Fee monitoring
- Income reporting
That is the place AI begins working actual companies.
5. For staying organized

Notion MCP | Your organization’s mind
Notion MCP lets your agent learn pages, databases, and feedback out of your workspace. It may well see specs, roadmaps, and selections with out you pasting them into chat.
Notion MCP permits AI to get organizational reminiscence.
Used for
- Studying inside documentation
- Retrieving specs
- Looking firm data
- Understanding selections
That is what turns AI right into a teammate as a substitute of a software.
6. For managing work

Linear MCP | Execution layer for groups
Linear MCP provides your agent entry to points, milestones, feedback, and venture standing. It may well monitor work and replace tickets like an actual teammate. This enables automating the meta surrounding the event course of.
Used for
- Studying and updating points
- Monitoring venture standing
- Managing backlogs
- Coordinating execution
That is how brokers cease advising and begin doing.
7. For automating actions

Zapier MCP | Motion engine for AI
Zapier MCP provides your agent entry to hundreds of apps. Emails, CRMs, calendars, Slack, spreadsheets. If Zapier can do it, your agent can too.
Used for
- Workflow automation
- Cross-app actions
- Process execution
- Actual-world orchestration
That is the place AI leaves the chat window.
8. For locating info

Tavily MCP | Stay internet intelligence
Tavily MCP provides your agent real-time, targeted internet search. No scraping, no noise. Simply contemporary, factual info when it issues.
Used for
- Analysis
- Market intelligence
- Reality checking
- Internet knowledge extraction
That is how hallucinations get changed by proof.
9. For grounding solutions

Exa MCP | Supply-grounded retrieval
Exa MCP retrieves actual code, documentation, and technical sources from the online. It lets brokers write and clarify issues primarily based on proof, not vibes.
Used for
- Code examples
- API references
- Technical analysis
- Supply-grounded solutions
That is how AI turns into dependable as a substitute of simply assured.
10. For staying updated

Hugging Face MCP | The AI data hub
Hugging Face MCP lets your agent browse fashions, datasets, Areas, and papers from the world’s largest AI neighborhood.
Used for
- Discovering fashions
- Exploring datasets
- Working Areas
- Studying documentation
That is how brokers keep present as a substitute of frozen in coaching knowledge.
Ultimate ideas
The record of MCP servers outlined clearly isn’t exhaustive! There may be much more from the place they got here from and increasingly are popping out each week. What issues although is what matches your function.
You should utilize GitHub, letting an agent perceive your code. Visualize your plans in Notion. Define your work in Linear. Make deployments in Vercel. Function income in Stripe. And your connection to the broader AI ecosystem by way of Hugging Face.
The record is sort of limitless. What’s left is so that you can plug in the proper MCP server to your AI workflow.
Continuously Requested Questions
A. They offer brokers structured, permission-aware entry to actual methods like code, deployments, and funds as a substitute of brittle APIs.
A. GitHub, Vercel, Stripe, Notion, and Linear cowl code, transport, cash, context, and execution.
A. Instruments like Tavily and Exa floor solutions in reside internet knowledge and actual sources as a substitute of mannequin guesswork.
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