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Mambu MCP Server for LlamaIndex 11 tools — connect in under 2 minutes

Built by Vinkius GDPR 11 Tools Framework

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

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 Mambu. "
            "You have 11 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Mambu?"
    )
    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 Mambu MCP Server

The Mambu MCP server allows you to interact with your Mambu tenant. You can list and get details for clients, loan accounts, deposit accounts, transactions, tasks, activities, and communications. This integration uses the Mambu v2 REST API to provide a seamless experience for managing your banking operations. Your token is encrypted at rest and injected securely at runtime.

LlamaIndex agents combine Mambu tool responses with indexed documents for comprehensive, grounded answers. Connect 11 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.

The Mambu MCP Server exposes 11 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 Mambu to LlamaIndex via MCP

Follow these steps to integrate the Mambu MCP Server with LlamaIndex.

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 11 tools from Mambu

Why Use LlamaIndex with the Mambu MCP Server

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

01

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

02

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

03

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

04

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

Mambu + LlamaIndex Use Cases

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

01

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

02

Data enrichment: query Mambu 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 Mambu for fresh data

04

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

Mambu MCP Tools for LlamaIndex (11)

These 11 tools become available when you connect Mambu to LlamaIndex via MCP:

01

get_client

Get details for a specific Mambu client

02

get_deposit_account

Get details for a specific Mambu deposit account

03

get_loan_account

Get details for a specific Mambu loan account

04

get_task

Get details for a specific Mambu task

05

list_activities

List Mambu activities

06

list_clients

List Mambu clients

07

list_communications

List Mambu communications

08

list_deposit_accounts

List Mambu deposit accounts

09

list_loan_accounts

List Mambu loan accounts

10

list_tasks

List Mambu tasks

11

list_transactions

List Mambu transactions

Example Prompts for Mambu in LlamaIndex

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

01

"List all clients in Mambu"

02

"Show details for client with ID 12345"

03

"List my tasks in Mambu"

Troubleshooting Mambu MCP Server with LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Mambu + LlamaIndex FAQ

Common questions about integrating Mambu 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 Mambu 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.

Connect Mambu to LlamaIndex

Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.