AI Agent Integration
ReceiptConverter is built to be used by AI agents. Here's every way to connect — from one-line MCP setup to raw API calls to no-code automation.
Choose your integration
MCPMCP Server (Recommended)The easiest integration. Zero HTTP code — your AI client calls convert_receipt as a native tool.
APIDirect APIA single POST request. Works with any language or framework that can make HTTP requests.
OAIOpenAI Agents SDKDefine convert_receipt as a function tool and let OpenAI's SDK handle the orchestration.
LCLangChainWrap the API as a LangChain Tool and plug it into any agent chain or pipeline.
NoNo-Code AutomationUse Zapier, Make, or n8n to connect ReceiptConverter to any app without writing code.
OASOpenAPI Auto-discoveryPoint any OpenAPI-aware framework at the spec URL and it auto-generates a working integration.
AI discoverability
ReceiptConverter publishes several files that AI agents use for auto-discovery — so frameworks like AutoGPT, LlamaIndex, or ChatGPT Plugins can find and use the API without any manual configuration:
llms.txtConcise overview for LLMs↗llms-full.txtComplete API docs in Markdown↗AGENTS.mdAgent-optimized capabilities spec↗openapi.jsonOpenAPI 3.0 machine-readable spec↗Quick example — direct API call
For any agent that can make HTTP requests, this is all you need:
import requests
def convert_receipt(url_or_path: str, api_key: str) -> dict:
headers = {"Authorization": f"Bearer {api_key}"}
if url_or_path.startswith("http"):
resp = requests.post(
"https://receiptconverter.com/api/v1/convert",
headers={**headers, "Content-Type": "application/json"},
json={"url": url_or_path},
)
else:
with open(url_or_path, "rb") as f:
resp = requests.post(
"https://receiptconverter.com/api/v1/convert",
headers=headers,
files={"file": f},
)
resp.raise_for_status()
return resp.json()["data"]