How to Use the Instamojo MCP in LlamaIndex

Q: How do I query Instamojo records with LlamaIndex?

You ingest the output of listpayments into your vector store. Once indexed, you ask your agent questions about your revenue. The system retrieves the relevant transaction details from your local knowledge base.

Q: Does LlamaIndex update Instamojo data in real-time?

You can configure your agent to call getpayment whenever the index needs the latest status. This ensures your answers are grounded in current API data. It prevents the agent from relying on stale information.

Q: Can I search for Instamojo payment links in LlamaIndex?

Yes, you use listlinks to fetch all your active payment links and add them to your index. You can then ask the agent to find specific links by name or amount. It makes managing your catalog easy.

Index your live Instamojo data into LlamaIndex to query payment history and customer trends using natural language.

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Connect Instamojo MCP to LlamaIndex

Create your Vinkius account to connect Instamojo to LlamaIndex 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 Instamojo with LlamaIndex

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Semantic indexing for Instamojo data

Use the server to pull `list_payments` and `list_payment_requests` for ingestion into your vector store. Your index now understands your transaction history, allowing you to ask questions about revenue trends. This turns static API records into a searchable knowledge base. You no longer need to write custom scripts to find a specific transaction because the agent retrieves the context from your index.

Grounding LlamaIndex in real-time payments

Query the server directly when the index needs fresh data that hasn't been crawled yet. By calling `get_payment` on demand, your agent provides answers based on the latest API state. This hybrid approach keeps your RAG system accurate. You combine historical data from the index with live status checks to confirm if a specific transaction succeeded.

Querying dispute history through LlamaIndex

Index your `list_disputes` output to identify common issues reported by customers. Your agent searches through past disputes to suggest resolutions based on previous outcomes. This helps your team spot patterns in payment failures. You get a clear view of your financial health by querying the knowledge base you built from your own API data.

Setup guide

Set up Instamojo MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Instamojo MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Instamojo tools.",
)
response = await agent.run("List recent Instamojo data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Instamojo. 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 Instamojo MCP in LlamaIndex

You ingest the output of `list_payments` into your vector store. Once indexed, you ask your agent questions about your revenue. The system retrieves the relevant transaction details from your local knowledge base.

You can configure your agent to call `get_payment` whenever the index needs the latest status. This ensures your answers are grounded in current API data. It prevents the agent from relying on stale information.

Yes, you use `list_links` to fetch all your active payment links and add them to your index. You can then ask the agent to find specific links by name or amount. It makes managing your catalog easy.

The server uses a V8 Isolate sandbox to process your API calls. Your keys never leave the secure environment. All data is handled in-memory and discarded after the session ends.

Only the transaction IDs, amounts, and timestamps are processed. The server ignores sensitive PII like customer addresses or account numbers. Your data is never persisted on external servers.

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