How to Use the ClearBank MCP in LlamaIndex

Index your ClearBank financial data into LlamaIndex. Use this MCP Server to ground your RAG applications in live UK ledger records.

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Connect ClearBank MCP to LlamaIndex

Create your Vinkius account to connect ClearBank 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 ClearBank with LlamaIndex

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Index ClearBank ledger data

Feed the output of `clearbank_get_accounts` into a vector store. This creates a searchable knowledge base of your internal ledger structure. Your RAG application queries this index to answer questions about account history. You get grounded, factual responses instead of generic model guesses.

Query transaction history with LlamaIndex

Run `clearbank_get_transactions` to pull deep logs into your document store. You then treat these logs as a corpus for semantic search. This allows your agent to find specific payment references or dates across thousands of records. It turns raw logs into actionable intelligence.

Monitor status via indexed feedback

Use `clearbank_get_payment_status` to track individual wires. When the status changes, you update your knowledge base to reflect the settlement. This keeps your index in sync with the actual state of the bank. Your users always see the latest information when they query the agent.

Setup guide

Set up ClearBank 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 ClearBank 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 ClearBank tools.",
)
response = await agent.run("List recent ClearBank 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 ClearBank UK. 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 ClearBank MCP in LlamaIndex

Use the MCP tool spec to wrap the server endpoint. Once loaded, the tools become available as functions for your agents to index and search.

No. By using this MCP Server, the agent fetches live data directly from the ledger. It indexes the actual numbers retrieved, preventing false information.

We enforce strict per-session tokens for every connection. Your ledger data is encrypted in transit and never stored in the underlying AI model's training set.

You can. By indexing transaction logs, your agent performs comparative analysis between expected payment amounts and actual settlement records.

It is straightforward. You define the client, load the tools, and point the indexer at the server output.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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