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

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Beagle Security 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({
        "beagle-security": {
            "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 Beagle Security, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Beagle Security
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 Beagle Security MCP Server

Connect your Beagle Security account to any AI agent and integrate automated penetration testing into your development workflow through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Beagle Security 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 Oversight — List and manage all security projects and target applications.
  • On-Demand Testing — Trigger new security tests for your applications instantly.
  • Status Monitoring — Check the real-time progress of ongoing security assessments.
  • Vulnerability Retrieval — Access detailed results and lists of vulnerabilities found during tests.
  • Compliance & Auditing — Retrieve account profiles and test histories for compliance reporting.

The Beagle Security 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 Beagle Security to LangChain via MCP

Follow these steps to integrate the Beagle Security 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 10 tools from Beagle Security via MCP

Why Use LangChain with the Beagle Security MCP Server

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

01

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

Beagle Security + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Beagle Security MCP Tools for LangChain (10)

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

01

get_application_details

Get details of an application

02

get_project_details

Get details of a specific project

03

get_test_results

Retrieve security test results

04

get_test_status

Check status of a security test

05

get_user_profile

Get Beagle account profile

06

get_vulnerabilities

List vulnerabilities for a test

07

list_applications

List security applications

08

list_projects

List Beagle Security projects

09

start_test

Start a new security test

10

stop_test

Stop an active security test

Example Prompts for Beagle Security in LangChain

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

01

"List all my current security projects on Beagle."

02

"Start a new security test for application token app_998877."

03

"Show me the findings from the last test test_554433."

Troubleshooting Beagle Security MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Beagle Security + LangChain FAQ

Common questions about integrating Beagle Security 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 Beagle Security to LangChain

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.