What is the Paystack MCP Server?

The Paystack MCP (Model Context Protocol) Server allows AI agents to interact with Paystack through standardized MCP clients via tool calling. This protocol supports various tools to interact with different Paystack services.

What is MCP?

MCP is an open protocol that standardizes how applications provide context to LLMs (Large Language Models).

What features does the Paystack MCP Server offer?

The server offers features to manage products, customers, and transactions. It allows AI agents to create products, manage customers, process transactions, manage authorizations, and access banking information.

How do I install the Paystack MCP Server?

You can install it via Smithery, manually using npm, or using Docker. Instructions are provided for each method.

How do I configure the Paystack MCP Server?

You need to set your Paystack secret key as an environment variable. The configuration steps vary based on the installation method you choose.

Which AI Agent development tools are compatible with Paystack MCP Server?

Paystack MCP Server can be used with Claude Desktop, Goose, CLI, Cursor or Docker.

What kind of tools are available within the Paystack MCP Server?

The server provides tools for managing products (create, list, update, get), customers (create, list, update, get, validate, set risk action), transactions (initialize, verify, fetch, list, charge authorization, partial debit, deactivate authorization, transaction totals, export transactions), and banking information (list banks, list countries, list states).

Can I contribute to the Paystack MCP Server?

Yes, contributions are welcome. You can contribute by implementing new tools, improving documentation, reporting bugs, and suggesting features.

Where can I find detailed instructions for contributing?

See the CONTRIBUTING.md file in the project repository for detailed instructions on how to contribute.

What is UBOS?

UBOS is a full-stack AI Agent Development Platform focused on bringing AI Agents to every business department. It helps you orchestrate AI Agents, connect them with your enterprise data, build custom AI Agents with your LLM model, and create Multi-Agent Systems.