Paystack 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 Paystack as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
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 Paystack. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Paystack?"
)
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 Paystack MCP Server
Connect your Paystack account to any AI agent and take full control of your payment operations through natural conversation.
LlamaIndex agents combine Paystack 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.
What you can do
- Transaction Management — List all transactions, retrieve detailed metadata, and verify payment statuses using references.
- Customer Oversight — List and inspect customer profiles to understand their payment history and metadata.
- Subscription Tracking — Monitor active subscriptions and billing plans to maintain a clear view of recurring revenue.
- Refunds & Transfers — List recent refunds and outbound transfers to keep your financial records in sync.
- Plan Management — View all configured payment plans and their associated settings.
The Paystack 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 Paystack to LlamaIndex via MCP
Follow these steps to integrate the Paystack 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 Paystack
Why Use LlamaIndex with the Paystack MCP Server
LlamaIndex provides unique advantages when paired with Paystack through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Paystack tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Paystack tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Paystack, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Paystack tools were called, what data was returned, and how it influenced the final answer
Paystack + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Paystack MCP Server delivers measurable value.
Hybrid search: combine Paystack real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Paystack 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 Paystack for fresh data
Analytical workflows: chain Paystack queries with LlamaIndex's data connectors to build multi-source analytical reports
Paystack MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Paystack to LlamaIndex via MCP:
get_customer
Get specific customer details
get_subscription
Get specific subscription details
get_transaction
Get details for a specific transaction
list_customers
List all customers
list_plans
List all payment plans
list_refunds
List all refunds
list_subscriptions
List all subscriptions
list_transactions
List Paystack transactions
list_transfers
List all transfers
verify_transaction
Verify a transaction status
Example Prompts for Paystack in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Paystack immediately.
"Check the status of transaction reference 'ref_789456'."
"List the last 5 customers registered in our Paystack account."
"How many active subscriptions do we currently have?"
Troubleshooting Paystack MCP Server with LlamaIndex
Common issues when connecting Paystack to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpPaystack + LlamaIndex FAQ
Common questions about integrating Paystack 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 Paystack 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 Paystack to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.