Can I automatically refund payments without ever navigating to the Clip website?

Yes. The `refund_transaction` interface executes server-side cryptographic voiding. Pass the definitive transaction ID alongside an optional amount override, and the refund logic routes directly through Clip's banking partners unconditionally.

Are the payment links generated permanent or do they have expiration windows?

By default, Payment links created via this endpoint remain actively valid until either paid successfully or explicitly halted. You can seamlessly use the `cancel_payment_link` tool to kill rogue links manually blocking external vulnerability loopholes.

Can the agent check if physical POS terminals are active and connected to my account?

Yes. The `list_terminals` endpoint fetches the fleet array directly from Clip servers. It outputs device IDs mapped to your registry ensuring no unauthorized POS physical readers are leeching payments stealthily.

Clip API MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: Clip API
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Clip API through Vinkius, pass the Edge URL in the `mcps` parameter and every Clip API tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Clip API Specialist",
    goal="Help users interact with Clip API effectively",
    backstory=(
        "You are an expert at leveraging Clip API tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Clip API "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

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

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DLPData protection

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<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

When paired with CrewAI, Clip API becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Clip API tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Clip API MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Clip API

Why Use CrewAI with the Clip API MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Clip API through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Clip API + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Clip API MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Clip API for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Clip API, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Clip API tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Clip API against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Clip API MCP Tools for CrewAI (10)

These 10 tools become available when you connect Clip API to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

Common issues when connecting Clip API to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Clip API + CrewAI FAQ

Common questions about integrating Clip API MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.