UpGuard MCP Server for LangChainGive LangChain instant access to 9 tools to Get Vendor, List Account Risks, List Identity Breaches, and more

Name: UpGuard
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

Ask AI about this MCP Server for LangChain

Open in ChatGPT Open in Claude Open in Perplexity

The UpGuard MCP Server for LangChain is a standout in the Fort Knox category — giving your AI agent 9 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

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({
        "upguard": {
            "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 UpGuard, 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 UpGuard MCP Server

Connect your UpGuard account to any AI agent and simplify how you monitor your attack surface, assess third-party vendor risks, and protect your organization's digital assets through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with UpGuard through native MCP adapters. Connect 9 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

Vendor Risk Assessment — List and query all monitored vendors to retrieve their security scores and metadata.
Risk Monitoring — List active security risks detected across your own infrastructure (BreachSight) and your vendor network (VendorRisk).
Data Breach Tracking — Monitor identity breaches affecting your workforce and retrieve detailed breach reports.
Asset Visibility — List monitored domains, IP ranges, and SaaS applications to understand your digital footprint.
Employee Security — Audit user-related risk data and identity theft exposures directly via AI commands.

The UpGuard MCP Server exposes 9 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 9 UpGuard tools available for LangChain

When LangChain connects to UpGuard through Vinkius, your AI agent gets direct access to every tool listed below — spanning attack-surface, vendor-risk, cybersecurity, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get vendor on UpGuard

Get details for a specific vendor

list

List account risks on UpGuard

List all active risks for the account

list

List identity breaches on UpGuard

List identity breaches

list

List monitored domains on UpGuard

List monitored domains

list

List monitored ips on UpGuard

List monitored IP addresses

list

List saas apps on UpGuard

List monitored SaaS applications

list

List user risks on UpGuard

List users and their risk data

list

List vendor risks on UpGuard

List active risks for a vendor

list

List vendors on UpGuard

List all monitored vendors

Connect UpGuard to LangChain via MCP

Follow these steps to wire UpGuard into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 9 tools from UpGuard via MCP

Why Use LangChain with the UpGuard MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine UpGuard 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 UpGuard queries for multi-turn workflows

UpGuard + LangChain Use Cases

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

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

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

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

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

Example Prompts for UpGuard in LangChain

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

"List all monitored vendors and their security scores."

"Show me the active risks for the vendor 'Microsoft'."

"Are there any recent identity breaches affecting our domain?"

Troubleshooting UpGuard MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

UpGuard + LangChain FAQ

Common questions about integrating UpGuard 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.