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

Built by Vinkius GDPR 12 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Griffin through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "griffin": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Griffin, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Griffin
Fully ManagedVinkius Servers
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High SecurityEnterprise-grade
IAMAccess control
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<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

LangChain's ecosystem of 500+ components combines seamlessly with Griffin through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Griffin MCP Server with LangChain.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 12 tools from Griffin via MCP

Why Use LangChain with the Griffin MCP Server

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

01

The largest ecosystem of integrations, chains, and agents. combine Griffin MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Griffin queries for multi-turn workflows

Griffin + LangChain Use Cases

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

01

RAG with live data: combine Griffin tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Griffin, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Griffin tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Griffin tool call, measure latency, and optimize your agent's performance

Griffin MCP Tools for LangChain (12)

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

01

create_internal_transfer

Transfer money between internal accounts

02

get_account

Get details for a specific bank account

03

get_index

Get the root index of resources from the Griffin API

04

get_me

Get details of the current authenticated user

05

get_organization

Get details for a specific organization

06

get_transaction

Get details for a specific transaction

07

get_verification

Get details for a specific verification

08

list_accounts

List bank accounts for an organization

09

list_organizations

List all accessible organizations

10

list_payees

List saved payees for an organization

11

list_transactions

Retrieve transaction history for a bank account

12

list_verifications

List KYC/KYB verifications for an organization

Example Prompts for Griffin in LangChain

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

01

"List my organizations in Griffin"

02

"Show the recent transactions for account ID acc_93021"

03

"Check the KYC verification status for ID ver_88392"

Troubleshooting Griffin MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Griffin + LangChain FAQ

Common questions about integrating Griffin MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Griffin to LangChain

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.