Modulr requires complex timestamped HMAC API Signatures, how does the prompt handle that?

We handle that completely in the background Engine! The Vinkius runtime grabs your static API Secret from configurations once. Then, every time the Language Model triggers a payment, our Node.js runtime creates random cryptographic hex Nonces, aligns current UTC Date limits, hashes the combination uniquely via SHA-256 and packs it into the underlying header dynamically natively.

Can the Agent generate new SEPA/UK Accounts?

Yes, using `modulr_create_account`, you can spawn multiple isolated UK GBP ledgers natively linked to customers.

Are cross-border Faster Payments supported natively?

Absolutely. You can inject external sorts codes inside the `modulr_create_payment` orchestrations delivering funds transparently via clearing houses.

Modulr MCP Server for LlamaIndex 7 tools — connect in under 2 minutes

Name: Modulr
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 7 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Modulr as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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 Modulr. "
            "You have 7 tools available."
        ),
    )

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

asyncio.run(main())

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* 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 Modulr MCP Server

The Modulr MCP Server wraps incredibly defensive digital signatures (HMAC SHA-256) autonomously underneath a native Language Model Chat interface. Meaning, your AI has programmatic limits to fire secure European and British payment rails on command natively.

LlamaIndex agents combine Modulr tool responses with indexed documents for comprehensive, grounded answers. Connect 7 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.

Core Functionality

Create Modulr Customers/Accounts — Manage deeply nested multi-layered B2B structures. Automatically provision Sort-Code ledgers via modulr_create_account.
Payment Initiation — Run automated payroll or contractor compensation logic utilizing direct clearing paths mapping via modulr_create_payment.
Algorithmic Tracing — Check real-time payment states checking failures or settlements organically utilizing modulr_list_payments.

Use Cases

Lending Startups — Direct integration validating funds exactly when needed.
Payment Reconciliations — Have the Agent review your physical transactional ledger.

The Modulr MCP Server exposes 7 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 Modulr to LlamaIndex via MCP

Follow these steps to integrate the Modulr 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 7 tools from Modulr

Why Use LlamaIndex with the Modulr MCP Server

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

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

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

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

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

Modulr + LlamaIndex Use Cases

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

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

Data enrichment: query Modulr 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 Modulr for fresh data

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

Modulr MCP Tools for LlamaIndex (7)

These 7 tools become available when you connect Modulr to LlamaIndex via MCP:

modulr_create_account

g. GBP or EUR). Instantiate a UK/EU Account under a specific Customer

modulr_create_beneficiary

, or IBAN. Map an external Recipient

modulr_create_payment

Trigger an outgoing Faster Payment or SEPA payout

modulr_get_accounts

List all live Accounts and mapped liquidity

modulr_get_customers

List underlying legal customers/entities inside Modulr

modulr_get_transactions

Audit transaction histories on a specific Account

modulr_list_payments

Check the status of massive payment arrays

Example Prompts for Modulr in LlamaIndex

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

"Check our main UK sub-account. View the history array mapped onto it to find pending activity."

"Initialize a payment stream. Register a Beneficiary named 'DevTeam' pointing to target Sort Code 123456 Acct 98765432. Send £5,000 from Account 'A110' natively."

"Scan our Modulr operational Customers and list the active instances returning metadata boundaries."

Troubleshooting Modulr MCP Server with LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Modulr + LlamaIndex FAQ

Common questions about integrating Modulr MCP Server with LlamaIndex.

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.

Can I combine MCP tools with vector stores?

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