Clip API MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Clip API through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Clip API Assistant",
instructions=(
"You help users interact with Clip API. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Clip API"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Clip API MCP Server
Directly empower your intelligent agents with the Clip API, the undisputed champion of point-of-sale and card payment gateways across Mexico. Bypass clunky merchant dashboards by commanding 10 specialized financial tools built to execute transactions, force refunds, and reconcile bulk backend settlements securely through plain text.
The OpenAI Agents SDK auto-discovers all 10 tools from Clip API through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Clip API, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Payment Link Generation — Programmatically spin up highly secure payment links instantly firing off collection demands mapped directly to specific user workflows without manual UI clicks.
- Transaction Auditing — Track pending authorizations scanning exact balances sniffing out potential fraud drops analyzing transaction statuses aggressively.
- Automated Reconciliations — Pull bulk settlement reports extracting clean matrices charting precisely when cash pipelines hit your registered banks.
- Inventory & Subscription — Manage deep catalog arrays syncing SKUs and dictating heavy recurring billing cycles charging Mexican cards passively.
The Clip API MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Clip API to OpenAI Agents SDK via MCP
Follow these steps to integrate the Clip API MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Clip API
Why Use OpenAI Agents SDK with the Clip API MCP Server
OpenAI Agents SDK provides unique advantages when paired with Clip API through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Clip API + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Clip API MCP Server delivers measurable value.
Automated workflows: build agents that query Clip API, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Clip API, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Clip API tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Clip API to resolve tickets, look up records, and update statuses without human intervention
Clip API MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Clip API to OpenAI Agents SDK via MCP:
add_product_to_catalog
Add a new item to the Clip Point of Sale catalog
cancel_payment_link
Void an active payment link
create_payment_link
Generate a Clip payment link to charge customers via card
create_subscription_plan
Build a recurring billing cycle charging clients periodically
get_balance_summary
Retrieve cash balance awaiting settlement
get_settlement_reports
Fetch detailed historical settlement reports
get_transaction_status
Retrieve the status of a payment transaction
list_products_catalog
Pull the complete inventory catalog registered in Clip
list_terminals
List all registered physical POS Clip terminals
refund_transaction
Omit amount for full refund. Execute a full or partial refund for a settled transaction
Example Prompts for Clip API in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Clip API immediately.
"Generate a new custom MXN payment link exactly for 450.50 referenced as invoice #X-99T."
"Refund the latest transaction specifically identified as Txn_88Z to its origin card fully."
"Calculate my comprehensive real cash balance available anticipating the incoming bulk settlements today blindly."
Troubleshooting Clip API MCP Server with OpenAI Agents SDK
Common issues when connecting Clip API to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Clip API + OpenAI Agents SDK FAQ
Common questions about integrating Clip API MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Clip API with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Clip API to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
