How to Use the Clip API MCP in CrewAI

Q: How do I add the Clip API to a CrewAI agent?

Pass your Vinkius URL directly into the agent's mcps parameter. The agent instantly gains access to MCP tools like createpaymentlink and refundtransaction.

Q: How do CrewAI agents share data when managing the Clip API catalog?

CrewAI's shared memory allows one agent to run listproductscatalog and pass the raw inventory list directly to another agent for analysis.

Deploy autonomous agent crews to manage your Mexican POS catalog and payments using CrewAI and the Clip API.

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Connect Clip API MCP to CrewAI

Create your Vinkius account to connect Clip API to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Clip API with CrewAI

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Run autonomous financial reconciliation crews with CrewAI

The `get_settlement_reports` tool pulls historical payout data directly into your CrewAI shared memory via this MCP Server. A specialized auditor agent analyzes the payouts while a manager agent compares them against your active ledger. If the crew finds a discrepancy, they query `get_balance_summary` to check pending funds. This entire process runs autonomously, letting your agents flag errors without human developers writing custom parsing scripts.

Multi-agent transaction monitoring and recovery

The `get_transaction_status` tool checks the real-time state of active customer charges. In a CrewAI setup, a monitoring agent tracks pending links while an escalation agent handles failed payments. When a failure is detected, the escalation agent uses `create_payment_link` to generate a new checkout URL. The agent then passes this link to a messaging tool to notify the customer immediately.

Autonomous inventory sync across terminal fleets

The `list_terminals` tool identifies all active physical POS devices registered to your account. A coordinator agent reads this list and assigns update tasks to worker agents across your fleet. The worker agents use `add_product_to_catalog` to push price drops and new stock to specific terminals. By using CrewAI's hierarchical execution, you ensure catalog updates roll out in a controlled, step-by-step manner.

Setup guide

Set up Clip API MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Clip API tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Clip API Analyst",
    goal="Access and analyze Clip API data via MCP.",
    backstory="Expert analyst with direct Clip API access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Clip API transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Clip API Analyst",
        goal="Access and analyze Clip API data via MCP.",
        backstory="Expert analyst with direct Clip API access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Clip API transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Clip API. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Clip API MCP in CrewAI

Pass your Vinkius URL directly into the agent's `mcps` parameter. The agent instantly gains access to MCP tools like `create_payment_link` and `refund_transaction`.

Yes. A customer service agent can analyze a complaint and call `refund_transaction` to return funds. You can restrict this tool to specific agents using CrewAI's `tool_filter`.

CrewAI's shared memory allows one agent to run `list_products_catalog` and pass the raw inventory list directly to another agent for analysis.

Yes. You can set up a sequential crew where Agent A creates a plan using `create_subscription_plan` and Agent B confirms the setup with `get_transaction_status`.

Vinkius isolates all Clip API MCP Server calls inside ephemeral V8 sandboxes. Your terminal listings, transaction histories, and API keys are never stored on disk or shared between agent runs.

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