Bridging Fintech and Agentic AI: Building a Paystack MCP Server in Python
If you’ve been following the AI space lately, you’ve probably heard of the Model Context Protocol (MCP). It is rapidly becoming the gold standard for connecting Large Language Models (LLMs) to exte...
Source: DEV Community
If you’ve been following the AI space lately, you’ve probably heard of the Model Context Protocol (MCP). It is rapidly becoming the gold standard for connecting Large Language Models (LLMs) to external tools and databases. We are seeing a massive surge in MCP servers for developer tools like GitHub, Postgres, and SQLite. But what about the Fintech space? It has remained largely untapped—until now. I’m excited to share a project I had published over 6months ago on GitHub: the Paystack MCP Server. It’s a Python-based server that bridges the gap between Paystack (Africa’s premier payment gateway) and agentic AI interfaces like Claude Desktop. Instead of writing manual cURL requests or digging through your Paystack dashboard, you can now just ask your AI agent to verify transactions, fetch customer details, or process refunds. Let's dive into how it works and how you can run it locally! Core Capabilities The Paystack MCP Server wraps the Paystack API into "Tools" that LLMs can naturally un
