Can I check my API gateway metrics through the agent?

Yes. The `get_metrics` tool allows your AI agent to retrieve real-time traffic and latency data for any specific project ID, helping you monitor gateway performance directly through chat.

How do I create a new consumer identity for API key authentication?

You can use the `create_consumer` tool. Provide the project ID and a JSON payload with the consumer's details, and Zuplo will provision the new identity for your API gateway instantly.

Is it possible to see my project's configuration files via conversation?

Absolutely. Use the `list_project_files` tool to retrieve the declarative configuration files for your API project, allowing you to audit routing and policy definitions through your agent.

Zuplo MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Zuplo
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

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

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 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({
        "zuplo": {
            "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 Zuplo, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<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 Zuplo MCP Server

Connect your Zuplo account to any AI agent and manage your programmable API infrastructure through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Zuplo through native MCP adapters. Connect 10 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

Project Management — List all Zuplo projects and API gateways in your account to monitor your integration landscape
Edge Deployments — Trigger new configuration deployments to the global edge network or audit previous deployment history
Consumer Governance — Create, manage, and revoke API key consumers to control who has access to your gateway authentication
Environment Auditing — List available project environments (e.g., working, production) and verify their current operational status
DNS & Domains — Retrieve and manage configured custom DNS domains for each of your API projects directly from your agent
Real-Time Metrics — Monitor gateway traffic, latency, and throughput metrics directly from Zuplo's edge analytics network
Declarative Config — Browse and list the configuration files that define your gateway's routing and policy logic

The Zuplo MCP Server exposes 10 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 Zuplo to LangChain via MCP

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

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Zuplo via MCP

Why Use LangChain with the Zuplo MCP Server

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

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

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

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

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

Zuplo + LangChain Use Cases

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

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

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

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

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

Zuplo MCP Tools for LangChain (10)

These 10 tools become available when you connect Zuplo to LangChain via MCP:

create_consumer

Create API key consumer

create_deployment

Create a new deployment

delete_consumer

Delete API key consumer

get_metrics

Get edge metrics

list_consumers

List API key consumers

list_custom_domains

List custom domains

list_deployments

List deployments

list_environments

g., working, production) for a Project. List project environments

list_files

List configuration files

list_projects

List Zuplo projects

Example Prompts for Zuplo in LangChain

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

"List all my Zuplo projects."

"Check the latency metrics for 'proj-101'."

"Create a new consumer for 'Acme Partner' in project 'proj-101'."

Troubleshooting Zuplo MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Zuplo + LangChain FAQ

Common questions about integrating Zuplo MCP Server with LangChain.

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.

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.