# How to integrate Securitytrails MCP with LangChain

```json
{
  "title": "How to integrate Securitytrails MCP with LangChain",
  "toolkit": "Securitytrails",
  "toolkit_slug": "securitytrails",
  "framework": "LangChain",
  "framework_slug": "langchain",
  "url": "https://composio.dev/toolkits/securitytrails/framework/langchain",
  "markdown_url": "https://composio.dev/toolkits/securitytrails/framework/langchain.md",
  "updated_at": "2026-05-12T10:25:01.338Z"
}
```

## Introduction

This guide walks you through connecting Securitytrails to LangChain using the Composio tool router. By the end, you'll have a working Securitytrails agent that can show all ips linked to acme.com, fetch ssl certificate history for example.com, run sql query for hosts in 192.168.0.0/16 through natural language commands.
This guide will help you understand how to give your LangChain agent real control over a Securitytrails account through Composio's Securitytrails MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Securitytrails with

- [OpenAI Agents SDK](https://composio.dev/toolkits/securitytrails/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/securitytrails/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/securitytrails/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/securitytrails/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/securitytrails/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/securitytrails/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/securitytrails/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/securitytrails/framework/cli)
- [Google ADK](https://composio.dev/toolkits/securitytrails/framework/google-adk)
- [Vercel AI SDK](https://composio.dev/toolkits/securitytrails/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/securitytrails/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/securitytrails/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/securitytrails/framework/crew-ai)

## TL;DR

Here's what you'll learn:
- Get and set up your OpenAI and Composio API keys
- Connect your Securitytrails project to Composio
- Create a Tool Router MCP session for Securitytrails
- Initialize an MCP client and retrieve Securitytrails tools
- Build a LangChain agent that can interact with Securitytrails
- Set up an interactive chat interface for testing

## What is LangChain?

LangChain is a framework for developing applications powered by language models. It provides tools and abstractions for building agents that can reason, use tools, and maintain conversation context.
Key features include:
- Agent Framework: Build agents that can use tools and make decisions
- MCP Integration: Connect to external services through Model Context Protocol adapters
- Memory Management: Maintain conversation history across interactions
- Multi-Provider Support: Works with OpenAI, Anthropic, and other LLM providers

## What is the Securitytrails MCP server, and what's possible with it?

The Securitytrails MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Securitytrails account. It provides structured and secure access to domain and IP intelligence data, so your agent can perform actions like retrieving domain details, analyzing IP associations, running custom SQL queries, and managing static asset rules on your behalf.
- Domain and DNS intelligence: Instantly fetch detailed information about any domain, including current DNS record statistics and associated data for robust cybersecurity analysis.
- SSL certificate retrieval: Access current and historical SSL certificate details for any hostname, helping you track certificate changes or potential vulnerabilities over time.
- IP and company association search: Discover all IP addresses linked to a specific company domain, or run advanced IP searches using custom DSL queries for threat hunting and investigation.
- Automated SQL-powered investigations: Execute SQL queries across hosts and IPs to extract targeted intelligence and spot trends or anomalies in your attack surface data.
- Bulk static asset management: Add, update, or remove up to 1000 static asset rules at once to quickly adapt your security policies across projects.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `SECURITYTRAILS_BULK_STATIC_ASSET_RULES` | Bulk Static Asset Rules | Bulk add or remove static asset rules for a SecurityTrails ASI project. Static asset rules define which domains/IPs are included or excluded from the project's monitoring scope. This operation processes up to 1000 rules (combined add + remove) per request. The API processes rules asynchronously, waiting up to 2 seconds for completion. If processing takes longer, task_ids are returned for status polling. Note: Requires a valid project_id from the List Projects endpoint. Use the Get Static Assets endpoint to verify changes after bulk operations complete. |
| `SECURITYTRAILS_GET_COMPANY_ASSOCIATED_IPS` | Get Company Associated IPs | Tool to retrieve IPs associated with a company domain. Use when you need to find all IP addresses linked to an organization's domain name. |
| `SECURITYTRAILS_GET_DOMAIN` | Get Domain Details | Retrieves comprehensive domain information from SecurityTrails including current DNS records, infrastructure details, and statistics. This tool fetches detailed DNS data (A, AAAA, MX, NS, SOA, TXT records) along with metadata about when records were first seen, which organizations own the infrastructure, and how many other domains share the same servers. Useful for domain reconnaissance, infrastructure mapping, security analysis, and understanding domain configurations. Returns structured data with typed fields for easy programmatic access by AI agents. |
| `SECURITYTRAILS_GET_DOMAIN_SSL` | Get Domain SSL | Tool to fetch current and historical SSL certificate details for a hostname. Use when you need to retrieve SSL data after identifying the domain. Coverage limited to certificates indexed by SecurityTrails; private, internally-issued, or very recently issued certificates may be absent. |
| `SECURITYTRAILS_IP_SEARCH_STATISTICS` | IP Search Statistics | Fetch aggregated statistics for IP addresses matching a DSL query. Returns top open ports by frequency, common reverse DNS patterns, and total count. Useful for analyzing IP infrastructure patterns, port distributions, and PTR records across specific IP ranges or reverse DNS domains. |
| `SECURITYTRAILS_LIST_PROJECTS` | List ASI Projects | Tool to list ASI projects available to the account. Use when you need project IDs for subsequent ASI operations. |
| `SECURITYTRAILS_PING` | Ping | Tool to test authentication and connectivity with the SecurityTrails API. Use after configuring API key. |
| `SECURITYTRAILS_SCROLL` | Scroll Results | Tool to continue scrolling through DSL search results. Use after receiving a scroll_id from SECURITYTRAILS_SEARCH_IPS or SECURITYTRAILS_SQL_API_EXECUTE_QUERY to fetch the next batch of data. Call iteratively until no scroll_id is returned to retrieve all pages. |
| `SECURITYTRAILS_SEARCH_IPS` | Search IPs | Tool to search IP addresses via SecurityTrails DSL. Use when you need to filter IPs with custom DSL queries. Results are paginated; use SecurityTrails scroll mechanisms for large result sets to avoid missing assets. |
| `SECURITYTRAILS_SQL_API_EXECUTE_QUERY` | SQL API Execute Query | Execute SQL-like queries against SecurityTrails data. Query the 'hosts' table for domain/DNS information or the 'ips' table for IP address/ASN/port data. Returns up to 100 records per request with a scroll ID for pagination. Supports standard SQL syntax (SELECT, WHERE, AND, OR, IN, IS NULL) but does NOT support LIMIT clause. |
| `SECURITYTRAILS_SQL_API_SCROLL_RESULTS` | SQL API Scroll Results | Tool to fetch next page of SQL query results. Use after obtaining scroll_id from initial SQL API response. |
| `SECURITYTRAILS_TEMP_SCRAPE_SECURITYTRAILS_USAGE` | Temp Scrape Securitytrails Usage | Retrieve account usage information from the SecurityTrails API. This action fetches the current monthly usage and allowed monthly usage limits for your SecurityTrails API account. Use this to monitor your API quota consumption. Returns: On success (200): - current_monthly_usage: Your current API usage for the month - allowed_monthly_usage: Your total allowed monthly API quota On error: - status_code: HTTP status code - response_text: Error message from API |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Securitytrails MCP server is an implementation of the Model Context Protocol that connects your AI agent to Securitytrails. It provides structured and secure access so your agent can perform Securitytrails operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 1. Prerequisites

No description provided.

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) and create an API key. You'll need credits to use the models, or you can connect to another model provider.
- Keep the API key safe.
Composio API Key
- Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Navigate to your API settings and generate a new API key.
- Store this key securely as you'll need it for authentication.

### 2. Install dependencies

No description provided.
```python
pip install composio-langchain langchain-mcp-adapters langchain python-dotenv
```

```typescript
npm install @composio/langchain @langchain/core @langchain/openai @langchain/mcp-adapters dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's happening:
- COMPOSIO_API_KEY authenticates your requests to Composio's API
- COMPOSIO_USER_ID identifies the user for session management
- OPENAI_API_KEY enables access to OpenAI's language models
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_composio_user_id_here
OPENAI_API_KEY=your_openai_api_key_here
```

### 4. Import dependencies

No description provided.
```python
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

load_dotenv()
```

```typescript
import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

dotenv.config();
```

### 5. Initialize Composio client

What's happening:
- We're loading the COMPOSIO_API_KEY from environment variables and validating it exists
- Creating a Composio instance that will manage our connection to Securitytrails tools
- Validating that COMPOSIO_USER_ID is also set before proceeding
```python
async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))

    if not os.getenv("COMPOSIO_API_KEY"):
        raise ValueError("COMPOSIO_API_KEY is not set")
    if not os.getenv("COMPOSIO_USER_ID"):
        raise ValueError("COMPOSIO_USER_ID is not set")
```

```typescript
const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });
```

### 6. Create a Tool Router session

What's happening:
- We're creating a Tool Router session that gives your agent access to Securitytrails tools
- The create method takes the user ID and specifies which toolkits should be available
- The returned session.mcp.url is the MCP server URL that your agent will use
- This approach allows the agent to dynamically load and use Securitytrails tools as needed
```python
# Create Tool Router session for Securitytrails
session = composio.create(
    user_id=os.getenv("COMPOSIO_USER_ID"),
    toolkits=['securitytrails']
)

url = session.mcp.url
```

```typescript
const session = await composio.create(
    userId as string,
    {
        toolkits: ['securitytrails']
    }
);

const url = session.mcp.url;
```

### 7. Configure the agent with the MCP URL

No description provided.
```python
client = MultiServerMCPClient({
    "securitytrails-agent": {
        "transport": "streamable_http",
        "url": session.mcp.url,
        "headers": {
            "x-api-key": os.getenv("COMPOSIO_API_KEY")
        }
    }
})

tools = await client.get_tools()

agent = create_agent("gpt-5", tools)
```

```typescript
const client = new MultiServerMCPClient({
    "securitytrails-agent": {
        transport: "http",
        url: url,
        headers: {
            "x-api-key": process.env.COMPOSIO_API_KEY
        }
    }
});

const tools = await client.getTools();

const agent = createAgent({ model: "gpt-5", tools });
```

### 8. Set up interactive chat interface

No description provided.
```python
conversation_history = []

print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Securitytrails related question or task to the agent.\n")

while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ['exit', 'quit', 'bye']:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    conversation_history.append({"role": "user", "content": user_input})
    print("\nAgent is thinking...\n")

    response = await agent.ainvoke({"messages": conversation_history})
    conversation_history = response['messages']
    final_response = response['messages'][-1].content
    print(f"Agent: {final_response}\n")
```

```typescript
let conversationHistory: any[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log("Ask any Securitytrails related question or task to the agent.\n");

const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: '
});

rl.prompt();

rl.on('line', async (userInput: string) => {
    const trimmedInput = userInput.trim();

    if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
        console.log("\nGoodbye!");
        rl.close();
        process.exit(0);
    }

    if (!trimmedInput) {
        rl.prompt();
        return;
    }

    conversationHistory.push({ role: "user", content: trimmedInput });
    console.log("\nAgent is thinking...\n");

    const response = await agent.invoke({ messages: conversationHistory });
    conversationHistory = response.messages;

    const finalResponse = response.messages[response.messages.length - 1]?.content;
    console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\n👋 Session ended.');
        process.exit(0);
    });
```

### 9. Run the application

No description provided.
```python
if __name__ == "__main__":
    asyncio.run(main())
```

```typescript
main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});
```

## Complete Code

```python
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

load_dotenv()

async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    
    if not os.getenv("COMPOSIO_API_KEY"):
        raise ValueError("COMPOSIO_API_KEY is not set")
    if not os.getenv("COMPOSIO_USER_ID"):
        raise ValueError("COMPOSIO_USER_ID is not set")
    
    session = composio.create(
        user_id=os.getenv("COMPOSIO_USER_ID"),
        toolkits=['securitytrails']
    )

    url = session.mcp.url
    
    client = MultiServerMCPClient({
        "securitytrails-agent": {
            "transport": "streamable_http",
            "url": url,
            "headers": {
                "x-api-key": os.getenv("COMPOSIO_API_KEY")
            }
        }
    })
    
    tools = await client.get_tools()
  
    agent = create_agent("gpt-5", tools)
    
    conversation_history = []
    
    print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
    print("Ask any Securitytrails related question or task to the agent.\n")
    
    while True:
        user_input = input("You: ").strip()
        
        if user_input.lower() in ['exit', 'quit', 'bye']:
            print("\nGoodbye!")
            break
        
        if not user_input:
            continue
        
        conversation_history.append({"role": "user", "content": user_input})
        print("\nAgent is thinking...\n")
        
        response = await agent.ainvoke({"messages": conversation_history})
        conversation_history = response['messages']
        final_response = response['messages'][-1].content
        print(f"Agent: {final_response}\n")

if __name__ == "__main__":
    asyncio.run(main())
```

```typescript
import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";  
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });

    const session = await composio.create(
        userId as string,
        {
            toolkits: ['securitytrails']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "securitytrails-agent": {
            transport: "http",
            url: url,
            headers: {
                "x-api-key": process.env.COMPOSIO_API_KEY
            }
        }
    });
    
    const tools = await client.getTools();
  
    const agent = createAgent({ model: "gpt-5", tools });
    
    let conversationHistory: any[] = [];
    
    console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
    console.log("Ask any Securitytrails related question or task to the agent.\n");
    
    const rl = readline.createInterface({
        input: process.stdin,
        output: process.stdout,
        prompt: 'You: '
    });

    rl.prompt();

    rl.on('line', async (userInput: string) => {
        const trimmedInput = userInput.trim();
        
        if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
            console.log("\nGoodbye!");
            rl.close();
            process.exit(0);
        }
        
        if (!trimmedInput) {
            rl.prompt();
            return;
        }
        
        conversationHistory.push({ role: "user", content: trimmedInput });
        console.log("\nAgent is thinking...\n");
        
        const response = await agent.invoke({ messages: conversationHistory });
        conversationHistory = response.messages;
        
        const finalResponse = response.messages[response.messages.length - 1]?.content;
        console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\nSession ended.');
        process.exit(0);
    });
}

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});
```

## Conclusion

You've successfully built a LangChain agent that can interact with Securitytrails through Composio's Tool Router.
Key features of this implementation:
- Dynamic tool loading through Composio's Tool Router
- Conversation history maintenance for context-aware responses
- Async Python provides clean, efficient execution of agent workflows
You can extend this further by adding error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows.

## How to build Securitytrails MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/securitytrails/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/securitytrails/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/securitytrails/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/securitytrails/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/securitytrails/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/securitytrails/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/securitytrails/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/securitytrails/framework/cli)
- [Google ADK](https://composio.dev/toolkits/securitytrails/framework/google-adk)
- [Vercel AI SDK](https://composio.dev/toolkits/securitytrails/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/securitytrails/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/securitytrails/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/securitytrails/framework/crew-ai)

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- [Beaconchain](https://composio.dev/toolkits/beaconchain) - Beaconchain is a real-time analytics platform for Ethereum 2.0's Beacon Chain. It provides detailed insights into validators, blocks, and overall network performance.
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## Frequently Asked Questions

### What are the differences in Tool Router MCP and Securitytrails MCP?

With a standalone Securitytrails MCP server, the agents and LLMs can only access a fixed set of Securitytrails tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Securitytrails and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with LangChain?

Yes, you can. LangChain fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Securitytrails tools.

### Can I manage the permissions and scopes for Securitytrails while using Tool Router?

Yes, absolutely. You can configure which Securitytrails scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

### How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Securitytrails data and credentials are handled as safely as possible.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)