Instamojo MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Instamojo as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Instamojo. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Instamojo?"
)
print(response)
asyncio.run(main())
* 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 Instamojo MCP Server
Empower your AI agents to manage your Indian payment ecosystem with Instamojo. This MCP server allows you to list and retrieve payments, manage payment requests, track refunds, view payouts, and monitor disputes directly through the Instamojo API. Ideal for automating e-commerce operations and financial monitoring in India.
LlamaIndex agents combine Instamojo tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
The Instamojo MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex 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 Instamojo to LlamaIndex via MCP
Follow these steps to integrate the Instamojo MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Instamojo
Why Use LlamaIndex with the Instamojo MCP Server
LlamaIndex provides unique advantages when paired with Instamojo through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Instamojo tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Instamojo tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Instamojo, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Instamojo tools were called, what data was returned, and how it influenced the final answer
Instamojo + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Instamojo MCP Server delivers measurable value.
Hybrid search: combine Instamojo real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Instamojo to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Instamojo for fresh data
Analytical workflows: chain Instamojo queries with LlamaIndex's data connectors to build multi-source analytical reports
Instamojo MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Instamojo to LlamaIndex via MCP:
get_payment
Retrieves details for a specific payment
get_payment_request
Retrieves details for a specific payment request
get_refund
Retrieves details for a specific refund
list_disputes
Lists all active and past disputes
list_gateways
Lists configured payment gateways
list_links
Lists all generated payment links
list_payment_requests
Lists all payment requests created
list_payments
Lists all payments received
list_payouts
Lists all payouts to your bank account
list_refunds
Lists all refunds processed
Example Prompts for Instamojo in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Instamojo immediately.
"List all recent payments in Instamojo."
"Show me the status of my recent payment requests."
"Check for any active disputes in my account."
Troubleshooting Instamojo MCP Server with LlamaIndex
Common issues when connecting Instamojo to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpInstamojo + LlamaIndex FAQ
Common questions about integrating Instamojo MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Instamojo with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Instamojo to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.