How to Use the Razorpay MCP in CrewAI

Q: How do I limit which Razorpay MCP Server tools a CrewAI agent can use?

Use the MCPServerHTTP class from CrewAI to apply a tool filter. This prevents an agent from executing write actions like createorder while allowing read-only access.

Q: Can a CrewAI team manage Razorpay customer profiles?

Yes. An agent can run createcustomer to add new buyers and use listcustomers to keep your CRM updated in real time.

Q: How does CrewAI protect my Razorpay customer database?

Your customer details from listcustomers are processed in an isolated, short-lived environment. Vinkius secures the data in transit with TLS 1.3, ensuring your team never exposes client profiles to external logs.

Deploy a collaborative crew of AI agents to manage your Razorpay ledger and subscriptions autonomously via MCP.

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Connect Razorpay MCP to CrewAI

Create your Vinkius account to connect Razorpay 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 Razorpay with CrewAI

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Perplexity

Collaborative ledger reconciliation

The `list_payments` tool extracts raw transaction logs for deep analysis. CrewAI assigns a specialized auditing agent to run this tool while a separate analyst agent cross-references the output. This multi-agent team reconciles your books without human help. They pull data from `list_settlements` to match payouts with individual transactions, flagging discrepancies instantly.

Autonomous subscription churn management

The `list_subscriptions` tool monitors recurring customer plans for payment failures. Your CrewAI retention agents run this tool to identify accounts that are about to expire. Once flagged, a support agent checks `list_invoices` to find the unpaid bills. The agent then drafts a personalized recovery email containing the exact outstanding balance.

Hierarchical fraud detection via CrewAI MCP Server

The `get_payment` tool checks the risk indicators of individual transactions. In a CrewAI setup, a junior agent flags suspicious payments and escalates them to a manager agent. This manager agent runs `list_transfers` to check if funds are moving to risky sub-accounts. The crew pauses further activity until a human operator reviews the transaction history.

Setup guide

Set up Razorpay 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 Razorpay tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Razorpay 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="Razorpay Analyst",
        goal="Access and analyze Razorpay data via MCP.",
        backstory="Expert analyst with direct Razorpay access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Razorpay 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 Razorpay. 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 Razorpay MCP in CrewAI

Use the `MCPServerHTTP` class from CrewAI to apply a tool filter. This prevents an agent from executing write actions like `create_order` while allowing read-only access.

Yes. An agent can run `create_customer` to add new buyers and use `list_customers` to keep your CRM updated in real time.

Agents share data through CrewAI's built-in memory system. If one agent calls `get_order`, the details are instantly accessible to other agents in the crew.

Yes. Install the python package and pass the Vinkius MCP URL directly into your CrewAI agent configuration.

Your customer details from `list_customers` are processed in an isolated, short-lived environment. Vinkius secures the data in transit with TLS 1.3, ensuring your team never exposes client profiles to external logs.

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