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Blink Payment MCP Server for LlamaIndexGive LlamaIndex instant access to 10 tools to Create Customer, Create Paylink, Create Payment Intent, and more

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Blink Payment 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 App Connector for LlamaIndex

The Blink Payment app connector for LlamaIndex is a standout in the Money Moves category — giving your AI agent 10 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
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 Blink Payment. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Blink Payment?"
    )
    print(response)

asyncio.run(main())
Blink Payment
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V8 IsolateSandboxed
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<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Blink Payment MCP Server

Empower your AI Agent with the full capability of Blink Payment. Blink Payment for AI Agents allows you to fully automate your financial operations directly from your isolated workspace.

LlamaIndex agents combine Blink Payment 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

Automate Payments: Instantly list your recent payments, view detailed information, and even initiate refunds.
Generate Payment Intents: Create precise and quick payment intents and link them directly to customers without leaving your conversational flow.
Customer Management: Effortlessly create new customer profiles, fetch their details, and keep track of your customer base directly through your agent.
Paylinks on the Fly: Generate reusable paylinks to share with clients, accelerating the checkout and invoice resolution processes.

Who is it for?

Finance & Billing Teams: Rapidly retrieve transaction data and reconcile accounts using natural language.
Sales & Support: Generate customized paylinks during a support call or sales pitch instantly.
* Developers: Eliminate manual dashboard checks and automate your billing operations via AI-driven commands.

The Blink Payment 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.

All 10 Blink Payment tools available for LlamaIndex

When LlamaIndex connects to Blink Payment through Vinkius, your AI agent gets direct access to every tool listed below — spanning payment-gateway, transaction-management, refunds, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_customer

Create a customer

create_paylink

Create a paylink

create_payment_intent

Create a payment intent

get_customer

Get customer details by ID

get_paylink

Get paylink details by ID

get_payment

Get payment details by ID

list_customers

List customers

list_paylinks

List paylinks

list_payments

List recent payments

refund_payment

Refund a payment

Connect Blink Payment to LlamaIndex via MCP

Follow these steps to wire Blink Payment into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 10 tools from Blink Payment

Why Use LlamaIndex with the Blink Payment MCP Server

LlamaIndex provides unique advantages when paired with Blink Payment through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine Blink Payment tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Blink Payment tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Blink Payment, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Blink Payment tools were called, what data was returned, and how it influenced the final answer

Blink Payment + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Blink Payment MCP Server delivers measurable value.

01

Hybrid search: combine Blink Payment real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Blink Payment to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Blink Payment for fresh data

04

Analytical workflows: chain Blink Payment queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Blink Payment in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Blink Payment immediately.

01

"List my 5 most recent payments."

02

"Generate a paylink for 150 GBP for 'Consulting Services'."

03

"Refund the full amount for payment ID 'pay_12345'."

Troubleshooting Blink Payment MCP Server with LlamaIndex

Common issues when connecting Blink Payment to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Blink Payment + LlamaIndex FAQ

Common questions about integrating Blink Payment MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Blink Payment tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.