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AI assistants are only as good as the information they have. When you ask a general-purpose assistant about the VelaFi API, it may guess endpoint paths, field names or status codes. The VelaFi MCP server gives your assistant direct, read-only access to these docs, so it can look up the current pages before it answers or writes code.

What the MCP server does

Model Context Protocol (MCP) is an open standard that lets AI tools connect to external sources. The VelaFi docs MCP server lets an assistant:
  • Search the docs for guides, API reference pages, webhooks and error codes.
  • Read full pages, including request and response fields and examples.
Benefits:
  • Answers from the current docs. The assistant cites the page it used instead of relying on what it learned during training.
  • Fewer wrong endpoints and fields. Generated code uses the real paths, parameters and enum values.
  • Works where you code. Ask questions or generate integration code inside Claude, ChatGPT, Cursor, VS Code or your terminal.
  • Every language on this site. The assistant can search the English, Chinese and Spanish docs.
The MCP server reads only the public documentation on this site. It cannot access your VelaFi account, call the VelaFi API or move funds, and it needs no API key or login. Never paste your API secret or tokens into an AI chat.

Server URL

Set up your AI tool

In Claude on the web or the Claude desktop app:
  1. Open Settings → Connectors (claude.ai/settings/connectors).
  2. Select Add custom connector.
  3. Enter a name, for example VelaFi Docs, and the URL https://docs.velafi.com/mcp.
  4. Select Add.
  5. In a chat, open the tools menu (+) and turn on the VelaFi Docs connector.
Custom connectors may not be available on every Claude plan, and organization admins can restrict them.
Other tools that support remote MCP servers over HTTP can connect with the same URL.

Try it

Once connected, ask your assistant questions such as:
  • “Using the VelaFi docs, how do I generate a business token? Show me a Python example.”
  • “Which fields do I need to create an off-ramp order to Mexico through SPEI?”
  • “What does order status 70 mean, and which webhook tells me about it?”
  • “Write a handler that verifies the signature of a VelaFi webhook.”
Always review generated code and test it in the sandbox before you use it in production.

Agent skills

To go further than lookups, install the VelaFi agent skills. They give your assistant step-by-step instructions, rules and self-check scripts for each core use case.

Other ways to give the docs to an AI

  • Markdown pages. Add .md to any page URL to get a plain Markdown version, for example https://docs.velafi.com/docs/quickstart.md.
  • Page menu. Use the menu at the top of any page to copy the page as Markdown, open it in ChatGPT or Claude, copy the MCP server URL, or connect the MCP server to Cursor or VS Code in one click.
  • llms.txt. /llms.txt lists every page with a short description, and /llms-full.txt contains the full text of the docs in one file.