# How to integrate Serphouse MCP with Claude Agent SDK

```json
{
  "title": "How to integrate Serphouse MCP with Claude Agent SDK",
  "toolkit": "Serphouse",
  "toolkit_slug": "serphouse",
  "framework": "Claude Agent SDK",
  "framework_slug": "claude-agents-sdk",
  "url": "https://composio.dev/toolkits/serphouse/framework/claude-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/serphouse/framework/claude-agents-sdk.md",
  "updated_at": "2026-03-29T06:49:50.974Z"
}
```

## Introduction

This guide walks you through connecting Serphouse to the Claude Agent SDK using the Composio tool router. By the end, you'll have a working Serphouse agent that can get serp results for 'ai marketing tools', list top keywords for competitor domain, summarize ranking changes for your site through natural language commands.
This guide will help you understand how to give your Claude Agent SDK agent real control over a Serphouse account through Composio's Serphouse MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Serphouse with

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

## TL;DR

Here's what you'll learn:
- Get and set up your Claude/Anthropic and Composio API keys
- Install the necessary dependencies
- Initialize Composio and create a Tool Router session for Serphouse
- Configure an AI agent that can use Serphouse as a tool
- Run a live chat session where you can ask the agent to perform Serphouse operations

## What is Claude Agent SDK?

The Claude Agent SDK is Anthropic's official framework for building AI agents powered by Claude. It provides a streamlined interface for creating agents with MCP tool support and conversation management.
Key features include:
- Native MCP Support: Built-in support for Model Context Protocol servers
- Permission Modes: Control tool execution permissions
- Streaming Responses: Real-time response streaming for interactive applications
- Context Manager: Clean async context management for sessions

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

The Serphouse MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Serphouse account. It provides structured and secure access so your agent can perform Serphouse operations on your behalf.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `SERPHOUSE_ACCOUNT_INFO` | Get Account Information | Tool to retrieve account information including active plan, credit usage, and account details. Use when you need to check account status, remaining credits, or active subscription plans. |
| `SERPHOUSE_DOMAIN_LIST` | Get Domain List | Tool to retrieve comprehensive list of search engine domains supported by the SERP API including Google, Bing, and Yahoo. Use when you need to know which domains are available for search queries. |
| `SERPHOUSE_GOOGLE_JOBS_SEARCH` | Google Jobs Search | Tool to perform real-time Google Jobs search to retrieve job listings. Use when you need to search for job postings on Google with specific query terms, location, and filters. |
| `SERPHOUSE_GOOGLE_SERP_ADVANCED_SCHEDULED` | Schedule Google SERP Advanced Search | Tool to schedule Google SERP scraping tasks that fetch up to 100 results by iterating through multiple result pages. Use when you need comprehensive search results beyond Google's 10-result limit. Credits are reserved upfront based on max_pages (1 page = 1 credit), with automatic refunds for unused pages. |
| `SERPHOUSE_GET_LANGUAGE_LIST` | Get Language List | Tool to retrieve full list of languages supported by Google, Bing, and Yahoo for SERP requests. Use when you need language codes for making SERP API requests or when configuring language-specific searches. |
| `SERPHOUSE_SEARCH_LOCATIONS` | Search Locations | Tool to search and retrieve available locations for SERP API from Google or Bing geographical targeting data. Use when you need to find valid location targets before making SERP API requests. |
| `SERPHOUSE_CHECK_SERP_TASK_STATUS` | Check SERP Task Status | Tool to check the status of a previously submitted SERP task. Use when monitoring task completion progress or verifying whether a SERP task has finished processing. |
| `SERPHOUSE_SERP_LIVE_SEARCH_GET` | SERP Live Search (GET) | Tool to execute real-time search requests and retrieve search engine results immediately via HTTP GET. Use when you need to perform searches on Google, Bing, or Yahoo and get instant SERP data. |
| `SERPHOUSE_EXECUTE_SERP_LIVE_POST_SEARCH` | Execute SERP Live POST Search | Tool to execute real-time search requests and retrieve search engine results immediately using HTTP POST method. Use when you need to get fresh SERP data from Google, Bing, or Yahoo with specific location and device targeting. Supports web, news, image, and shopping search types with advanced filtering options. |
| `SERPHOUSE_SCHEDULE_SERP_TASKS` | Schedule SERP Tasks | Tool to schedule SERP search tasks for asynchronous processing. Use when you need to queue multiple search tasks (up to 100 at once) for later execution. Results can be retrieved via webhook or polling. |
| `SERPHOUSE_GET_TRENDS_CATEGORIES_LIST` | Get Trends Categories List | Tool to retrieve the full list of categories and subcategories for Google Trends searches. Use when you need category IDs for filtering trends analysis. |
| `SERPHOUSE_CHECK_TREND_SEARCH_STATUS` | Check Trend Search Status | Tool to check the status of a previously submitted trend search task. Use when you need to monitor completion progress of a trend search. |
| `SERPHOUSE_GET_TRENDS_COUNTRY_LIST` | Get Trends Country List | Tool to retrieve the full list of countries and states for Google Trends searches. Use when you need geographic targeting options for trends analysis. |
| `SERPHOUSE_GET_TREND_SEARCH_RESULTS` | Get Trend Search Results | Tool to retrieve the results of a completed trend search query. Use when you need to fetch trend data for a specific task ID that was previously submitted. The task must be completed before results are available. |
| `SERPHOUSE_GET_TRENDS_LANGUAGE_LIST` | Get Trends Language List | Tool to retrieve the full list of supported languages for Google Trends searches. Use when you need to identify valid language codes for trend search requests. |
| `SERPHOUSE_SCHEDULE_GOOGLE_TRENDS_SEARCH` | Schedule Google Trends Search | Tool to schedule Google Trends search tasks with configuration for keywords, time ranges, and geographic locations. Use when you need to collect Google Trends data for specific keywords, time periods, or regions. Supports batch processing of up to 100 tasks. |
| `SERPHOUSE_PERFORM_GOOGLE_TRENDS_SEARCH` | Perform Google Trends Search | Tool to perform real-time Google Trends search to retrieve trend data for specified keywords. Use when you need to analyze keyword popularity across time periods and geographic locations. |
| `SERPHOUSE_GET_TRENDS_TIMEZONE_LIST` | Get Trends Timezone List | Tool to retrieve full list of timezones and offset values for use in Google Trend search requests. Use when you need timezone information for trend analysis or when configuring timezone-specific trend searches. |

## Supported Triggers

None listed.

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

The Serphouse MCP server is an implementation of the Model Context Protocol that connects your AI agent to Serphouse. It provides structured and secure access so your agent can perform Serphouse 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

Before starting, make sure you have:
- Composio API Key and Claude/Anthropic API Key
- Primary know-how of Claude Agents SDK
- A Serphouse account
- Some knowledge of Python

### 1. Getting API Keys for Claude/Anthropic and Composio

Claude/Anthropic API Key
- Go to the [Anthropic Console](https://console.anthropic.com/settings/organization/api-keys) and create an API key. You'll need credits to use the models.
- 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-anthropic claude-agent-sdk python-dotenv
```

```typescript
npm install @anthropic-ai/claude-agent-sdk @composio/core dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's happening:
- COMPOSIO_API_KEY authenticates with Composio
- USER_ID identifies the user for session management
- ANTHROPIC_API_KEY authenticates with Anthropic/Claude
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
ANTHROPIC_API_KEY=your_anthropic_api_key_here
```

### 4. Import dependencies

No description provided.
```python
import asyncio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions
import os
from composio import Composio
from dotenv import load_dotenv

load_dotenv()
```

```typescript
import 'dotenv/config';
import readline from 'node:readline';
import { Composio } from '@composio/core';
import { query, type Options } from "@anthropic-ai/claude-agent-sdk";

dotenv.config();
```

### 5. Create a Composio instance and Tool Router session

No description provided.
```python
async def chat_with_remote_mcp():
    api_key = os.getenv("COMPOSIO_API_KEY")
    if not api_key:
        raise RuntimeError("COMPOSIO_API_KEY is not set")

    composio = Composio(api_key=api_key)

    # Create Tool Router session for Serphouse
    mcp_server = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["serphouse"]
    )

    url = mcp_server.mcp.url

    if not url:
        raise ValueError("Session URL not found")
```

```typescript
async function chat() {
  const { COMPOSIO_API_KEY, USER_ID } = process.env;
  if (!COMPOSIO_API_KEY || !USER_ID) {
    throw new Error('COMPOSIO_API_KEY and USER_ID required in .env');
  }

  const composio = new Composio({ apiKey: COMPOSIO_API_KEY });

  // Create Tool Router session for Serphouse
  const session = await composio.create(USER_ID, {
    toolkits: ['serphouse'],
  });
  const mcpUrl = session?.mcp.url;
```

### 6. Configure Claude Agent with MCP

No description provided.
```python
# Configure remote MCP server for Claude
options = ClaudeAgentOptions(
    permission_mode="bypassPermissions",
    mcp_servers={
        "composio": {
            "type": "http",
            "url": url,
            "headers": {
                "x-api-key": os.getenv("COMPOSIO_API_KEY")
            }
        }
    },
    system_prompt="You are a helpful assistant with access to Serphouse tools via Composio.",
    max_turns=10
)
```

```typescript
const options: Options = {
  permissionMode: 'bypassPermissions',
  mcpServers: {
    composio: {
      type: 'http',
      url: mcpUrl,
      headers: { 'x-api-key': COMPOSIO_API_KEY }
    }
  },
  systemPrompt: 'You are a helpful assistant with access to Serphouse tools via Composio.',
  maxTurns: 10,
};
```

### 7. Create client and start chat loop

No description provided.
```python
# Create client with context manager
async with ClaudeSDKClient(options=options) as client:
    print("\nChat started. Type 'exit' or 'quit' to end.\n")

    # Main chat loop
    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit"}:
            print("Goodbye!")
            break

        # Send query
        await client.query(user_input)

        # Receive and print response
        print("Claude: ", end="", flush=True)
        async for message in client.receive_response():
            if hasattr(message, "content"):
                for block in message.content:
                    if hasattr(block, "text"):
                        print(block.text, end="", flush=True)
        print()
```

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

  console.log('\nChat started. Type "exit" to quit.\n');

  let isProcessing = false;

  async function ask(prompt: string) {
    isProcessing = true;
    rl.pause();

    process.stdout.write('Claude is thinking...');
    const stream = query({ prompt, options });

    let firstChunk = true;
    for await (const msg of stream) {
      const content = (msg as any).message?.content || (msg as any).content;
      if (Array.isArray(content)) {
        for (const block of content) {
          if (block.type === 'text' && block.text) {
            if (firstChunk) {
              process.stdout.write('\r\x1b[K');
              process.stdout.write('Claude: ');
              firstChunk = false;
            }
            process.stdout.write(block.text);
          }
        }
      }
    }
    process.stdout.write('\n\n');

    isProcessing = false;
    rl.resume();
    rl.prompt();
  }

  rl.on('line', async (line) => {
    if (isProcessing) return;

    const input = line.trim();
    if (input === 'exit') {
      rl.close();
      process.exit(0);
    }
    if (input) await ask(input);
    else rl.prompt();
  });

  await ask('What can you help me with?');
}
```

### 8. Run the application

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

```typescript
try {
  await chat();
} catch (error) {
  console.error(error);
  process.exit(1);
}
```

## Complete Code

```python
import asyncio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions
import os
from composio import Composio
from dotenv import load_dotenv

load_dotenv()

async def chat_with_remote_mcp():
    api_key = os.getenv("COMPOSIO_API_KEY")
    if not api_key:
        raise RuntimeError("COMPOSIO_API_KEY is not set")

    composio = Composio(api_key=api_key)

    # Create Tool Router session for Serphouse
    mcp_server = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["serphouse"]
    )

    url = mcp_server.mcp.url

    if not url:
        raise ValueError("Session URL not found")

    # Configure remote MCP server for Claude
    options = ClaudeAgentOptions(
        permission_mode="bypassPermissions",
        mcp_servers={
            "composio": {
                "type": "http",
                "url": url,
                "headers": {
                    "x-api-key": os.getenv("COMPOSIO_API_KEY")
                }
            }
        },
        system_prompt="You are a helpful assistant with access to Serphouse tools via Composio.",
        max_turns=10
    )

    # Create client with context manager
    async with ClaudeSDKClient(options=options) as client:
        print("\nChat started. Type 'exit' or 'quit' to end.\n")

        # Main chat loop
        while True:
            user_input = input("You: ").strip()
            if user_input.lower() in {"exit", "quit"}:
                print("Goodbye!")
                break

            # Send query
            await client.query(user_input)

            # Receive and print response
            print("Claude: ", end="", flush=True)
            async for message in client.receive_response():
                if hasattr(message, "content"):
                    for block in message.content:
                        if hasattr(block, "text"):
                            print(block.text, end="", flush=True)
            print()

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

```typescript
import 'dotenv/config';
import readline from 'node:readline';
import { Composio } from '@composio/core';
import { query, type Options } from "@anthropic-ai/claude-agent-sdk";

async function chat() {
  const { COMPOSIO_API_KEY, USER_ID } = process.env;
  if (!COMPOSIO_API_KEY || !USER_ID) {
    throw new Error('COMPOSIO_API_KEY and USER_ID required in .env');
  }

  const composio = new Composio({ apiKey: COMPOSIO_API_KEY });
  const session = await composio.create(USER_ID, {
    toolkits: ['serphouse']
  });
  const mcp_url = session?.mcp.url;

  const options: Options = {
    permissionMode: 'bypassPermissions',
    mcpServers: {
      composio: {
        type: 'http',
        url: mcp_url,
        headers: { 'x-api-key': COMPOSIO_API_KEY }
      }
    },
    systemPrompt: 'You are a helpful assistant with access to Serphouse tools via Composio.',
    maxTurns: 10,
  };

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

  console.log('\nChat started. Type "exit" to quit.\n');

  let isProcessing = false;

  async function ask(prompt: string) {
    isProcessing = true;
    rl.pause();

    process.stdout.write('Claude is thinking...');
    const stream = query({ prompt, options });

    let firstChunk = true;
    for await (const msg of stream) {
      const content = (msg as any).message?.content || (msg as any).content;
      if (Array.isArray(content)) {
        for (const block of content) {
          if (block.type === 'text' && block.text) {
            if (firstChunk) {
              process.stdout.write('\r\x1b[K');
              process.stdout.write('Claude: ');
              firstChunk = false;
            }
            process.stdout.write(block.text);
          }
        }
      }
    }
    process.stdout.write('\n\n');

    isProcessing = false;
    rl.resume();
    rl.prompt();
  }

  rl.on('line', async (line) => {
    if (isProcessing) return;

    const input = line.trim();
    if (input === 'exit') {
      rl.close();
      process.exit(0);
    }
    if (input) await ask(input);
    else rl.prompt();
  });

  await ask('What can you help me with?');
}

try {
  await chat();
} catch (error) {
  console.error(error);
  process.exit(1);
}
```

## Conclusion

You've successfully built a Claude Agent SDK agent that can interact with Serphouse through Composio's Tool Router.
Key features:
- Native MCP support through Claude's agent framework
- Streaming responses for real-time interaction
- Permission bypass for smooth automated workflows
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.

## How to build Serphouse MCP Agent with another framework

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

## Related Toolkits

- [Firecrawl](https://composio.dev/toolkits/firecrawl) - Firecrawl automates large-scale web crawling and data extraction. It helps organizations efficiently gather, index, and analyze content from online sources.
- [Tavily](https://composio.dev/toolkits/tavily) - Tavily offers powerful search and data retrieval from documents, databases, and the web. It helps teams locate and filter information instantly, saving hours on research.
- [Exa](https://composio.dev/toolkits/exa) - Exa is a data extraction and search platform for gathering and analyzing information from websites, APIs, or databases. It helps teams quickly surface insights and automate data-driven workflows.
- [Serpapi](https://composio.dev/toolkits/serpapi) - SerpApi is a real-time API for structured search engine results. It lets you automate SERP data collection, parsing, and analysis for SEO and research.
- [Peopledatalabs](https://composio.dev/toolkits/peopledatalabs) - Peopledatalabs delivers B2B data enrichment and identity resolution APIs. Supercharge your apps with accurate, up-to-date business and contact data.
- [Snowflake](https://composio.dev/toolkits/snowflake) - Snowflake is a cloud data warehouse built for elastic scaling, secure data sharing, and fast SQL analytics across major clouds.
- [Posthog](https://composio.dev/toolkits/posthog) - PostHog is an open-source analytics platform for tracking user interactions and product metrics. It helps teams refine features, analyze funnels, and reduce churn with actionable insights.
- [Amplitude](https://composio.dev/toolkits/amplitude) - Amplitude is a digital analytics platform for product and behavioral data insights. It helps teams analyze user journeys and make data-driven decisions quickly.
- [Bright Data MCP](https://composio.dev/toolkits/brightdata_mcp) - Bright Data MCP is an AI-powered web scraping and data collection platform. Instantly access public web data in real time with advanced scraping tools.
- [Browseai](https://composio.dev/toolkits/browseai) - Browseai is a web automation and data extraction platform that turns any website into an API. It's perfect for monitoring websites and retrieving structured data without manual scraping.
- [ClickHouse](https://composio.dev/toolkits/clickhouse) - ClickHouse is an open-source, column-oriented database for real-time analytics and big data processing using SQL. Its lightning-fast query performance makes it ideal for handling large datasets and delivering instant insights.
- [Coinmarketcal](https://composio.dev/toolkits/coinmarketcal) - CoinMarketCal is a community-powered crypto calendar for upcoming events, announcements, and releases. It helps traders track market-moving developments and stay ahead in the crypto space.
- [Control d](https://composio.dev/toolkits/control_d) - Control d is a customizable DNS filtering and traffic redirection platform. It helps you manage internet access, enforce policies, and monitor usage across devices and networks.
- [Databox](https://composio.dev/toolkits/databox) - Databox is a business analytics platform that connects your data from any tool and device. It helps you track KPIs, build dashboards, and discover actionable insights.
- [Databricks](https://composio.dev/toolkits/databricks) - Databricks is a unified analytics platform for big data and AI on the lakehouse architecture. It empowers data teams to collaborate, analyze, and build scalable solutions efficiently.
- [Datagma](https://composio.dev/toolkits/datagma) - Datagma delivers data intelligence and analytics for business growth and market discovery. Get actionable market insights and track competitors to inform your strategy.
- [Delighted](https://composio.dev/toolkits/delighted) - Delighted is a customer feedback platform based on the Net Promoter System®. It helps you quickly gather, track, and act on customer sentiment.
- [Dovetail](https://composio.dev/toolkits/dovetail) - Dovetail is a research analysis platform for transcript review and insight generation. It helps teams code interviews, analyze feedback, and create actionable research summaries.
- [Dub](https://composio.dev/toolkits/dub) - Dub is a short link management platform with analytics and API access. Use it to easily create, manage, and track branded short links for your business.
- [Elasticsearch](https://composio.dev/toolkits/elasticsearch) - Elasticsearch is a distributed, RESTful search and analytics engine for all types of data. It delivers fast, scalable search and powerful analytics across massive datasets.

## Frequently Asked Questions

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

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

### Can I use Tool Router MCP with Claude Agent SDK?

Yes, you can. Claude Agent SDK 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 Serphouse tools.

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

Yes, absolutely. You can configure which Serphouse 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 Serphouse data and credentials are handled as safely as possible.

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