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Finix MCP Server for AI Agents

MCP Server

The Finix MCP Server allows AI agents like Claude to search and retrieve information from Finix's documentation. Ask an AI agent questions about the Finix API to get accurate, current answers.

Before exploring setup, let’s clarify what MCP offers and why it’s essential for AI integration.

What is MCP?

Model Context Protocol (MCP) is an open standard enabling AI agents to connect to external data sources and tools. MCP lets AI models query live documentation, APIs, and databases in real time—instead of relying only on training data.

Why Use MCP?

Large language models have knowledge cutoffs and lack access to proprietary documentation. When you ask an AI agent about Finix APIs, it provides general guidance based on its training data.

MCP provides a standardized interface between AI agents and documentation servers. The Finix MCP server reveals all documentation—including guides, API references, and code examples—enabling AI agents to deliver accurate, up-to-date information on demand.

Without MCPWith MCP
Responses based on training dataResponses based on live documentation
May be outdated or genericAlways reflects current API state
No access to Finix-specific examplesFull access to code samples and guides

Quick Setup

Add the Finix MCP server to Claude Code with a single command:

Add Finix MCP Server
claude mcp add finix-redocly-mcp https://docs.finix.com/mcp --transport http

That's it. Claude Code can now access Finix documentation.

Detailed Setup Guide

For step-by-step instructions, configuration options, and troubleshooting, see the Claude Code Setup Guide.

What You Can Do

Once connected, your AI agent can help you with:

Search Documentation

Ask questions in plain English and get answers from Finix documentation:

  • "How do I process a refund with Finix?"
  • "What parameters does the create payment endpoint accept?"
  • "Show me an example of tokenizing a card."

Explore the API

Access details about Finix API endpoints: list all endpoints, view request and response schemas, check authentication requirements, and see code examples.

Understand Concepts

Explore Finix features and best practices, including the payment lifecycle and states, seller onboarding, fee collection options, and webhook integration.


Available Tools

The MCP server offers your AI agent these tools:

MCP ToolTool Description
searchSearch across all Finix documentation using keywords or phrases.
list-apisList available APIs with their context and purpose.
get-endpointsGet all endpoints for a specific API.
get-endpoint-infoGet comprehensive details about a specific endpoint including parameters, security requirements, and examples.
get-security-schemesGet authentication and security information for an API.
get-full-spec-documentRetrieve the complete OpenAPI specification.

Example Usage

Here are some example prompts you can use with your AI agent after connecting the Finix MCP server:

Getting Started

"I'm new to Finix. What's the basic flow for accepting an online payment?"

API Reference

"What fields are required when creating a Transfer resource?"

Integration Help

"How do I set up webhooks to track payment status changes?"

Troubleshooting

"What does the RETURNED state mean for a Transfer?"

Requirements

  • Claude Code (or another MCP-compatible AI agent).
  • Internet connection to reach docs.finix.com.

How It Works

  1. Ask a question about Finix in your AI agent.
  2. The AI detects the need for Finix-specific info.
  3. It queries the MCP server at https://docs.finix.com/mcp.
  4. The server searches Finix documentation.
  5. Results are returned to the AI.
  6. You receive an accurate, up-to-date response.

The process takes just seconds and keeps you in your development environment.

Learn More