GoCardless MCP Server for LlamaIndex 12 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add GoCardless 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 GoCardless. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in GoCardless?"
)
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 GoCardless MCP Server
Connect your GoCardless merchant account to any AI agent to automate your direct debit payments and customer mandates through the Model Context Protocol (MCP). GoCardless is the global leader in bank-to-bank payments, simplifying the collection of recurring and one-off payments. This MCP server enables you to retrieve customer records, track mandate authorizations, manage payment collections, and monitor bank payouts directly through natural conversation.
LlamaIndex agents combine GoCardless tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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.
Key Features
- Customer & Bank Oversight — List all customers registered in your system and fetch detailed profile and bank account metadata instantly.
- Mandate Management — Access and track customer authorizations (mandates) to ensure you have the legal right to collect payments.
- Payment Orchestration — List all direct debit collections, track their status (confirmed, failed), and programmatically initiate new payments against active mandates.
- Subscription Insights — Retrieve active and inactive recurring payment plans to understand your predictable revenue health.
- Payout Tracking — Access a complete list of funds being sent from GoCardless to your own bank account for easy reconciliation.
- Refund Visibility — Monitor processed refunds and reversed payments to maintain an accurate financial audit trail.
- Real-time Synchronization — Keep your bank-to-bank payment data accessible to your AI assistant without leaving your primary workspace.
The GoCardless MCP Server exposes 12 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 GoCardless to LlamaIndex via MCP
Follow these steps to integrate the GoCardless 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 12 tools from GoCardless
Why Use LlamaIndex with the GoCardless MCP Server
LlamaIndex provides unique advantages when paired with GoCardless through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine GoCardless tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain GoCardless tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query GoCardless, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what GoCardless tools were called, what data was returned, and how it influenced the final answer
GoCardless + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the GoCardless MCP Server delivers measurable value.
Hybrid search: combine GoCardless real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query GoCardless 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 GoCardless for fresh data
Analytical workflows: chain GoCardless queries with LlamaIndex's data connectors to build multi-source analytical reports
GoCardless MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect GoCardless to LlamaIndex via MCP:
create_new_payment
Initiate a collection
get_account_details
Get account identity
get_customer_details
Get customer metadata
get_mandate_status
Check mandate details
get_payment_details
Get payment metadata
list_direct_debit_payments
List all payments
list_merchant_payouts
List bank payouts
list_payment_customers
List all customers
list_payment_mandates
List active mandates
list_payment_refunds
List reversed payments
list_recurring_subscriptions
List recurring plans
verify_api_connection
Check connection
Example Prompts for GoCardless in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with GoCardless immediately.
"List all my payments that are currently 'pending_submission'."
"Check the status of mandate 'MD12345'."
"Show me the last 3 payouts sent to my bank account."
Troubleshooting GoCardless MCP Server with LlamaIndex
Common issues when connecting GoCardless to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpGoCardless + LlamaIndex FAQ
Common questions about integrating GoCardless 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 GoCardless 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 GoCardless to LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.