Can my agent trigger an autonomous penetration test on a specific API?

Yes. Use the 'trigger_scan' tool with the target Service ID. The Equixly AI Hacker will begin an autonomous session, learning and attacking the API for various flaws including BOLA and business logic errors.

How do I see the security vulnerabilities found in the last scan via chat?

Use the 'get_scan_findings' tool. Provide the Service and Scan IDs. The agent will retrieve a detailed list of confirmed security flaws, including severity levels and actionable remediation guidance.

Can I upload an OpenAPI specification to improve scan coverage through the agent?

Absolutely. Use the 'upload_api_spec' tool. Provide the spec content and format (e.g., 'openapi'). This allows the AI Hacker to understand the full attack surface and maximize vulnerability discovery.

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

Name: Equixly
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 Equixly 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({
        "equixly": {
            "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 Equixly, 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 Equixly MCP Server

Connect your Equixly account to any AI agent and take full control of your autonomous API security testing and vulnerability management through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Equixly 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

Autonomous Pentest Orchestration — Launch new attack sessions where the Equixly AI Hacker autonomously explores and attacks your API for BOLA, IDOR, and injection flaws
Service Management — Register and manage target API services by defining base URLs and granular path-scoping rules for continuous monitoring
API Surface Discovery — Upload and manage API specifications (OpenAPI, GraphQL, Postman) to broaden the attack surface known to the AI Hacker
Vulnerability Auditing — Retrieve detailed lists of confirmed exploitable security flaws with severity ratings, OWASP mapping, and remediation guidance
Scan Status Monitoring — Track execution progress and overall outcomes of active penetration tests, including total requests and endpoints explored
Remediation Oversight — Access evidence of exploitation for specific findings to validate security fixes and maintain production safety
Target Configuration — Fetch granular metadata for API targets, including authentication hooks and production safety toggles natively

The Equixly 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 Equixly to LangChain via MCP

Follow these steps to integrate the Equixly 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 Equixly via MCP

Why Use LangChain with the Equixly MCP Server

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

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

Equixly + LangChain Use Cases

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

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

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

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

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

Equixly MCP Tools for LangChain (10)

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

create_service

Provide the human-readable name and the live base URL. After creation, upload an API spec to maximize attack surface coverage. Register a new API target service for autonomous pentesting

delete_service

Use when decommissioning an API or cleaning up test environments. This action is irreversible. Remove an API service and all its scan history from Equixly

get_scan

Includes total requests made, endpoints explored, attack vectors attempted, severity breakdown of findings (critical/high/medium/low), and OWASP Top 10 mapping. Get detailed status and summary of a specific pentest scan

get_scan_findings

Each finding includes a severity rating, OWASP category, affected endpoint path, HTTP method, request/response evidence of exploitation, and actionable remediation guidance. Download all exploitable vulnerabilities found in a pentest scan

get_service

Required before modifying scan behavior. Get detailed configuration of a specific API service

list_api_specs

The AI Hacker uses these specs to understand the full attack surface, so keeping them updated maximizes vulnerability discovery coverage. List uploaded API specifications for a service

list_scans

Each scan entry includes its status (running, completed, failed), timestamps, and the total count of vulnerabilities detected in that session. List all pentest scan sessions for an API service

list_services

A Service represents a single API base URL that the autonomous AI pentester continuously attacks. Each service contains its unique ID, name, base URL, and the number of discovered endpoints. List all registered API services in Equixly

trigger_scan

It tests for BOLA, broken authentication, mass assignment, IDOR, injection, and business logic flaws. Ideal for CI/CD pipeline integration upon each deployment. Launch a new autonomous AI penetration test against a service

upload_api_spec

Supported formats: openapi (JSON/YAML), postman, graphql, wsdl, har. Pass the raw spec content as a string along with the format identifier. Upload an API specification (OpenAPI, Postman, etc.) to a service

Example Prompts for Equixly in LangChain

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

"Trigger a security scan for API service 'Billing-v1'"

"Show me the critical findings from the latest scan of service 'Payments'"

"List all registered API target services"

Troubleshooting Equixly MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Equixly + LangChain FAQ

Common questions about integrating Equixly 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.