AI coding tools are evolving quickly.
But the real shift starts when your editor can interact with infrastructure directly.
Instead of only generating code, AI tools can now:
- query APIs
- interact with services
- retrieve live data
- execute workflows
That’s where MCP comes in.
In this guide, you’ll learn how to:
- set up Afriex MCP in Cursor
- connect your Afriex account
- verify your setup
- understand how MCP changes the developer workflow
This is not a product demo.
This is a practical setup guide for developers getting started with Afriex MCP.
What is MCP?
MCP (Model Context Protocol) is a standardized way for AI tools to interact with external systems and services.
Instead of treating the AI editor as:
“just a code generator”
MCP allows it to become:
“an infrastructure-aware development environment”
With MCP, AI tools can:
- access APIs
- call external tools
- retrieve live data
- orchestrate workflows
directly from inside the editor.
Why This Matters
Normally, integrating financial infrastructure involves:
- reading documentation
- wiring SDKs manually
- testing requests
- switching between dashboards and terminals
With MCP:
- the editor gains context
- workflows become faster
- AI can assist with infrastructure interactions directly
This creates a very different developer experience.
What is Afriex MCP?
Afriex MCP exposes Afriex infrastructure capabilities to AI-enabled developer tools like Cursor.
This allows Cursor to:
- retrieve balances
- understand payment workflows
- scaffold integrations
- interact with Afriex APIs through MCP tools
directly from natural language prompts.
Prerequisites
Before starting, you’ll need:
- An Afriex Business account
- Cursor installed
- An Afriex API key
Useful links:
Step 1 — Log Into Afriex Business
Head to:
https://business.afriex.com/
Log into your Afriex Business account.
Step 2 — Open the Documentation
Inside the dashboard:
- Navigate to:
- Developer
- API Documentation
Afriex provides detailed developer documentation including MCP setup instructions.
Step 3 — Open the MCP Guide
Inside the docs:
- Open:
- MCP Server
- Connecting MCP Clients
This section contains:
- supported MCP clients
- setup instructions
- recommended configurations
Step 4 — Select Cursor
Afriex supports multiple MCP-capable tools and IDEs.
In this guide, we’ll use:
- Cursor
Copy the recommended Cursor MCP configuration from the docs.
Step 5 — Configure Cursor
Inside Cursor:
- Open Settings
- Navigate to:
- Tools & MCPs
- Click:
- Add Custom MCP
Paste the configuration you copied from the Afriex documentation.
Step 6 — Update Your Credentials
Update the configuration with your credentials:
"x-afriex-api-key": "YOUR_API_KEY",
"x-afriex-environment": "production"
You can also use:
"x-afriex-environment": "sandbox"
for testing environments if supported in your workflow.
Step 7 — Verify the Connection
Now that Cursor is connected to Afriex MCP, try a simple prompt inside Cursor:
Use Afriex MCP to fetch my live balances
If everything is configured correctly, Cursor should retrieve:
- NGN balances
- USD balances
- supported wallet balances
directly from Afriex.
At this point, your editor is no longer operating purely as a code assistant.
It can now interact with infrastructure through MCP.
What Makes This Interesting
The important shift here is not:
“AI generates code.”
The interesting part is:
“AI can now interact with systems.”
That changes the workflow significantly.
Instead of:
- constantly context switching
- manually wiring everything first
- navigating infrastructure alone
developers can now work with AI tools that understand:
- APIs
- infrastructure
- workflows
- integrations
more directly.
Example MCP Workflow
Once connected, you can start using prompts like:
Fetch my Afriex balances
Help me scaffold an Afriex integration
Generate a Next.js API route for Afriex virtual accounts
Create a webhook handler for Afriex payment events
The AI editor now has context about:
- the infrastructure
- the available tools
- the integration patterns
which makes the development experience much smoother.
Security Notes
When using MCP integrations:
- never expose your API keys publicly
- avoid committing credentials to Git repositories
- use environment variables where possible
- rotate keys periodically
Treat your MCP configuration with the same care as production infrastructure credentials.
Where This Goes Next
Afriex MCP opens up workflows around:
- payments
- virtual accounts
- payouts
- reconciliation
- infrastructure automation
- fintech developer tooling
And this is still early.
As MCP ecosystems evolve, developer tools will become increasingly:
- infrastructure-aware
- execution-aware
- workflow-aware
Final Thoughts
Setting up Afriex MCP inside Cursor only takes a few minutes.
But the implications are much bigger.
We’re moving toward a world where AI editors:
- understand infrastructure
- interact with APIs
- assist with integrations
- help orchestrate real systems
not just generate snippets.
And honestly, that changes how software gets built.
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