How do I get Hyperswitch API credentials?

You can find your API Secret Key in the Hyperswitch dashboard under 'API Keys'.

Does it support multiple processors?

Hyperswitch is a payment switch that abstracts multiple processors. This MCP interacts with the Hyperswitch unified API.

Can I process refunds with this MCP?

This version focus on listing and retrieving refund details. Actions to trigger new refunds may be added in future updates.

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

Name: Hyperswitch
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

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

Get MCP Server for AI Agents

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Hyperswitch Specialist",
    goal="Help users interact with Hyperswitch effectively",
    backstory=(
        "You are an expert at leveraging Hyperswitch 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 Hyperswitch "
        "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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About Hyperswitch MCP Server

Empower your AI agents to manage your payment infrastructure with Hyperswitch. This MCP server allows you to list payments, retrieve customer details, manage refunds, track disputes, and view payouts directly through the Hyperswitch API. Ideal for automating fintech operations and payment monitoring.

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

The Hyperswitch 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 Hyperswitch to CrewAI via MCP

Follow these steps to integrate the Hyperswitch 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 Hyperswitch

Why Use CrewAI with the Hyperswitch MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Hyperswitch 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

Hyperswitch + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Hyperswitch 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 Hyperswitch, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Hyperswitch 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 Hyperswitch against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Hyperswitch MCP Tools for CrewAI (10)

These 10 tools become available when you connect Hyperswitch to CrewAI via MCP:

get_customer

Retrieves details for a specific customer

get_dispute

Retrieves details for a specific dispute

get_payment

Retrieves details for a specific payment

get_payout

Retrieves details for a specific payout

get_refund

Retrieves details for a specific refund

list_customers

Lists all customers

list_disputes

Lists all disputes

list_payments

Lists all payments

list_payouts

Lists all payouts

list_refunds

Lists all refunds

Example Prompts for Hyperswitch in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Hyperswitch immediately.

"List the last 10 payments processed through Hyperswitch."

"Check for any active disputes."

"Show me the details for customer ID 'cust_123'."

Troubleshooting Hyperswitch MCP Server with CrewAI

Common issues when connecting Hyperswitch 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.

Hyperswitch + CrewAI FAQ

Common questions about integrating Hyperswitch 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.