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Flutterwave MCP Server

MCP Server

AI‑powered integration for Flutterwave transactions

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Updated 18 days ago

About

An MCP server that lets AI assistants manage Flutterwave payments—confirming, retrying, and retrieving transactions, generating payment links, and handling failed webhooks. Ideal for automated customer support and transaction workflows.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Flutterwave MCP Server Overview

Overview

The mcp-flutterwave server bridges the gap between AI assistants and the Flutterwave payment ecosystem. By exposing a set of tools that mirror common Flutterwave operations, it lets conversational agents like Claude automatically confirm payments, retry failed transactions, fetch historical data, and even generate or disable payment links—all without manual API calls. This capability is essential for developers building intelligent customer support bots, automated reconciliation workflows, or real‑time transaction monitoring dashboards.

Problem Solved

Managing payment flows traditionally requires developers to write boilerplate code, handle authentication, and parse complex webhook payloads. For AI assistants, this translates into a series of cumbersome prompts and manual data retrieval steps. The mcp-flutterwave server abstracts these details, providing a single entry point for AI to issue high‑level commands. Consequently, developers can focus on crafting natural language interactions rather than wrestling with the intricacies of Flutterwave’s REST API.

Core Value Proposition

  • Unified Toolset: A curated list of actions—confirming transactions, retrying failures, generating payment links, and more—covers the most common use cases in a payments workflow.
  • Error Resilience: Built‑in retry logic for recoverable errors reduces downtime and ensures that transient issues don’t require human intervention.
  • Historical Insight: Transaction history and timeline tools enable AI agents to offer contextual support, such as explaining why a payment failed or showing past buyer activity.
  • Security by Design: All operations are authenticated via the , ensuring that only authorized assistants can invoke sensitive actions.

Key Features Explained

  • Confirm Transactions – Quickly ascertain the final status of a payment using its ID, allowing AI to verify completion before proceeding.
  • Retry Failed Transactions – Automatically re‑attempt payments that hit transient errors, improving user experience without manual clicks.
  • Retrieve Transaction History – Pull aggregated data for analysis or reporting, useful for audit trails and trend monitoring.
  • Send Failed Hooks – Re‑dispatch webhook payloads that were previously rejected, ensuring downstream systems stay in sync.
  • Generate Payment Links – Create shareable checkout URLs on demand, facilitating instant payment collection for new orders or events.
  • Automated Customer Support – Integrate the server with an AI chatbot to answer queries about transaction status, refunds, or payment methods in real time.

Real‑World Use Cases

  1. E‑commerce Checkout – An AI assistant can generate a payment link, monitor its status, and notify the customer once the transaction is confirmed.
  2. Customer Support Automation – Agents can ask the assistant to retrieve a customer’s last five transactions or resend a failed webhook, all within a single conversation.
  3. Financial Reconciliation – Periodic scripts can use the server to pull transaction histories, compare them against accounting entries, and flag discrepancies automatically.
  4. Subscription Management – AI can generate recurring payment links, disable outdated checkout URLs, and retry failed subscription charges without developer involvement.

Integration into AI Workflows

The server is designed to plug directly into MCP‑compatible clients such as Claude Desktop. By configuring the section with the appropriate command, arguments, and environment variables, developers expose a rich set of tools to the AI. The assistant can then invoke these tools via natural language prompts, receive structured JSON responses, and use that data to drive further actions or inform the user. This tight coupling enables seamless, end‑to‑end payment automation within conversational interfaces.

Standout Advantages

  • Developer‑First Configuration – A single npm install and minimal JSON setup unlocks the full feature set.
  • Extensibility – The tool list can be expanded as new Flutterwave endpoints are released, keeping the assistant up to date without code changes.
  • Active Development – Regular updates ensure compatibility with Flutterwave’s evolving API and security practices.

In summary, the mcp-flutterwave server empowers AI assistants to act as fully fledged payment agents, handling everything from link creation to error recovery. By reducing manual overhead and exposing a clean, secure API surface, it accelerates the deployment of intelligent payment solutions across e‑commerce, fintech, and customer support domains.