Can my agent list all bank accounts for a specific organization in Griffin?

Yes. Use the 'list_accounts' tool with the 'organizationId' parameter. The agent will fetch all bank accounts associated with that organization flawlessly.

How do I check the status of a KYC/KYB verification via chat?

You can use the 'get_verification' tool. Provide the Verification ID, and the agent will return the full details, including the current status and decision of the verification natively.

Can I trigger an internal money transfer between accounts through the agent?

Absolutely. Use the 'create_internal_transfer' tool. By passing the amount and account IDs, your agent will programmatically trigger the transfer within Griffin's secure infrastructure flawlessly.

Griffin MCP Server for LlamaIndex 12 tools — connect in under 2 minutes

Name: Griffin
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 12 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Griffin 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 Griffin. "
            "You have 12 tools available."
        ),
    )

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

Connect your Griffin Banking-as-a-Service account to any AI agent and take full control of your embedded finance operations through natural conversation.

LlamaIndex agents combine Griffin 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.

What you can do

Index Orchestration — Discover all available API resources and navigate your organization's banking infrastructure natively
Account Oversight — List and inspect all bank accounts, including available balances and account numbers flawlessy
Live Transaction Monitoring — Retrieve detailed transaction histories and resolve specific payment details including status and amounts flawlessly
Verification Workflow — Manage KYC and KYB verifications by listing and inspecting individual verification records natively
Financial Transfers — Trigger internal transfers between accounts to manage liquidity across your organization synchronously
Payee Management — List and verify saved payees to ensure secure and accurate payment orchestration natively

The Griffin 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 Griffin to LlamaIndex via MCP

Follow these steps to integrate the Griffin 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 Griffin

Why Use LlamaIndex with the Griffin MCP Server

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

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

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

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

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

Griffin + LlamaIndex Use Cases

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

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

Data enrichment: query Griffin 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 Griffin for fresh data

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

Griffin MCP Tools for LlamaIndex (12)

These 12 tools become available when you connect Griffin to LlamaIndex via MCP:

create_internal_transfer

Transfer money between internal accounts

get_account

Get details for a specific bank account

get_index

Get the root index of resources from the Griffin API

get_me

Get details of the current authenticated user

get_organization

Get details for a specific organization

get_transaction

Get details for a specific transaction

get_verification

Get details for a specific verification

list_accounts

List bank accounts for an organization

list_organizations

List all accessible organizations

list_payees

List saved payees for an organization

list_transactions

Retrieve transaction history for a bank account

list_verifications

List KYC/KYB verifications for an organization

Example Prompts for Griffin in LlamaIndex

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

"List my organizations in Griffin"

"Show the recent transactions for account ID acc_93021"

"Check the KYC verification status for ID ver_88392"

Troubleshooting Griffin MCP Server with LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Griffin + LlamaIndex FAQ

Common questions about integrating Griffin 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 Griffin tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.