# How to integrate Icypeas MCP with LangChain

```json
{
  "title": "How to integrate Icypeas MCP with LangChain",
  "toolkit": "Icypeas",
  "toolkit_slug": "icypeas",
  "framework": "LangChain",
  "framework_slug": "langchain",
  "url": "https://composio.dev/toolkits/icypeas/framework/langchain",
  "markdown_url": "https://composio.dev/toolkits/icypeas/framework/langchain.md",
  "updated_at": "2026-05-12T10:15:36.053Z"
}
```

## Introduction

This guide walks you through connecting Icypeas to LangChain using the Composio tool router. By the end, you'll have a working Icypeas agent that can find verified email for john doe at acme.com, bulk search emails for 100 new leads, list all role-based emails at example.org through natural language commands.
This guide will help you understand how to give your LangChain agent real control over a Icypeas account through Composio's Icypeas MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Icypeas with

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

## TL;DR

Here's what you'll learn:
- Get and set up your OpenAI and Composio API keys
- Connect your Icypeas project to Composio
- Create a Tool Router MCP session for Icypeas
- Initialize an MCP client and retrieve Icypeas tools
- Build a LangChain agent that can interact with Icypeas
- 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 Icypeas MCP server, and what's possible with it?

The Icypeas MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Icypeas account. It provides structured and secure access to professional email discovery and verification, so your agent can perform actions like finding emails, verifying addresses, searching company data, and scanning domains on your behalf.
- Accurate email discovery and verification: Instantly find and verify professional email addresses using first name, last name, and company domain to supercharge your outreach or lead generation.
- Bulk prospecting and search management: Launch bulk email or profile URL searches for thousands of contacts at once, then track progress and fetch results without manual oversight.
- Comprehensive company and people lookup: Search for companies or filter people by name, title, company, and more to enrich your CRM or build targeted prospect lists efficiently.
- Domain scanning for role-based emails: Scan entire company domains to discover all available role-based email addresses, simplifying large-scale contact discovery.
- Subscription and usage insights: Check your Icypeas subscription details and remaining credits, helping you stay on top of your usage and plan outreach campaigns smarter.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `ICYPEAS_BULK_EMAIL_SEARCH` | Bulk Email Search | Initiate a bulk email search job to find professional email addresses for multiple people at once. Use this tool when you need to find emails for more than one person. Provide names (first and/or last) along with company domains or names. The API queues the job and returns a file identifier that can be used with 'Fetch Bulk Search Info' and 'Retrieve Search Results' to check progress and get results. Rate limit: 1 request per second. Maximum 5000 rows per bulk request. |
| `ICYPEAS_BULK_FIND_PROFILE_URLS` | Find Profile URLs Bulk | Tool to perform bulk search for profile URLs based on firstname, lastname, and company/domain or job title. Use when you need to find LinkedIn or other social profile URLs for multiple prospects at once (up to 50 per request). This endpoint returns immediate results with profile URLs. Each result includes the found URL (or empty string if not found), a search ID, and a status indicator. |
| `ICYPEAS_BULK_REVERSE_EMAIL_LOOKUP` | Bulk Reverse Email Lookup | Tool to find LinkedIn profile URLs for multiple professional email addresses in a single request. Use when you need to reverse lookup 2-50 email addresses to find their associated LinkedIn profiles. Each lookup costs 10 credits per found profile. Returns results immediately (not async like other bulk operations). |
| `ICYPEAS_BULK_SCRAPE` | Scrape Bulk | Tool to scrape multiple LinkedIn profiles or companies in bulk (up to 50 per request). Use when you need to scrape multiple LinkedIn URLs at once. Returns a job ID that can be used with check_progress to fetch results. |
| `ICYPEAS_CHECK_PROGRESS` | Check Search Progress | Check the processing progress of a search by its ID. Use this tool after initiating a single or bulk search to monitor its status. For mode='single': Checks progress of individual search items via /bulk-single-searchs/read endpoint. For mode='bulk': Checks progress of bulk search files via /search-files/read endpoint. Poll this endpoint periodically until 'finished' is True or item status is 'DEBITED'. Note: ICYPEAS recommends using webhooks instead of polling for production use. |
| `ICYPEAS_COUNT_COMPANIES` | Count Companies | Tool to count companies in Icypeas database matching specified filters without returning data or being charged. Use when you need to know how many companies match specific criteria like industry, location, or headcount. |
| `ICYPEAS_COUNT_PEOPLE` | Count People | Tool to count people matching specified filters without retrieving data or consuming credits. Use when you need to assess the size of a people search result set before running the actual query. |
| `ICYPEAS_DOMAIN_SCAN` | Domain Scan | Tool to scan a domain for role-based email addresses. Use when you need to discover all role-based emails for a specific domain. |
| `ICYPEAS_FETCH_BULK_SEARCH_INFO` | Fetch Bulk Search Info | Retrieve bulk search files with their status and progress. Lists all bulk searches (email, profile, company searches) with pagination support. Use to monitor bulk operation progress, check completion status, or retrieve file IDs for further operations. |
| `ICYPEAS_FETCH_SUBSCRIPTION_INFO` | Fetch Subscription Information | Retrieves subscription details and remaining credits for an Icypeas account. Use this to check credit balances, subscription status, and user ID before performing searches. The email parameter must match the account owner's email associated with the API key. |
| `ICYPEAS_FIND_COMPANIES` | Find Companies | Tool to search companies in Icypeas database. Use when you need to find companies matching filters like industry, location, or headcount. |
| `ICYPEAS_FIND_COMPANY_URL` | Find Company URL | Tool to find a single company profile URL using a company name or domain. Use when you need to initiate a profile-URL search for a given company identifier. |
| `ICYPEAS_FIND_LINKEDIN_PROFILE_BY_EMAIL` | Reverse Email Lookup | Find the LinkedIn profile URL behind a single professional email address. Use when you need to identify the person associated with an email address. Costs 10 credits per found profile. |
| `ICYPEAS_FIND_PEOPLE` | Find People | Search for people/leads in the Icypeas database. Supports filtering by name, job title, company, location, skills, languages, school, and keywords. Each filter supports include/exclude lists. Returns matching leads with pagination support for large result sets. Requires credits to execute. |
| `ICYPEAS_FIND_PROFILE_URL` | Find Profile URL | Finds a person's LinkedIn profile URL using their name and company or job title. Use this tool when you need to find someone's LinkedIn profile URL. Provide the person's first name, last name, and either their company/domain OR job title. Tips for best results: - For company/domain, use the website domain (e.g., 'icypeas.com') or company name - Keep inputs simple - avoid over-specifying details - Costs 1 credit per successful search Example: Find LinkedIn URL for Pierre Landoin at icypeas.com |
| `ICYPEAS_FIND_SINGLE_EMAIL` | Find Single Email | Initiates an asynchronous email search to find a prospect's email address using their name and company. Returns a search item ID that can be used with ICYPEAS_RETRIEVE_SEARCH_RESULTS to get the actual email. Use for individual lookups; for bulk operations, use ICYPEAS_BULK_EMAIL_SEARCH instead. |
| `ICYPEAS_PARSE_BULK_SEARCH_STATISTICS` | Statistics Bulk Search | Tool to parse bulk search statistics webhook. Use when processing the completion notification of a bulk search. |
| `ICYPEAS_RETRIEVE_SEARCH_RESULTS` | Retrieve Search Results | Tool to retrieve the results of a search by ID or to paginate through bulk search results. Use after initiating a search to fetch individual or multiple search results. |
| `ICYPEAS_SCRAPE_COMPANY` | Scrape Company | Tool to initiate scraping of a LinkedIn company page. Use when you have a LinkedIn company URL and need to retrieve company profile data. Returns a job ID that can be used with check_progress to fetch the full results. |
| `ICYPEAS_SCRAPE_PROFILE` | Scrape Profile | Tool to initiate scraping of a LinkedIn profile. Use when you have a public LinkedIn profile URL and need a job ID and status to later fetch full details. |
| `ICYPEAS_SETUP_NOTIFICATIONS` | Setup Notifications | Provides instructions for setting up Icypeas push notifications/webhooks. Use this tool when you need to configure real-time notifications for bulk searches or single search updates. Note: Webhooks must be configured via the Icypeas dashboard; there is no API endpoint for programmatic setup. |
| `ICYPEAS_VERIFY_EMAIL` | Verify Email Address | Tool to verify if a specific email address exists and is valid. Use when you need to check email deliverability. Returns a verification item ID that can be used with ICYPEAS_RETRIEVE_SEARCH_RESULTS to get the verification result. |

## Supported Triggers

None listed.

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

The Icypeas MCP server is an implementation of the Model Context Protocol that connects your AI agent to Icypeas. It provides structured and secure access so your agent can perform Icypeas 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 Icypeas 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 Icypeas 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 Icypeas tools as needed
```python
# Create Tool Router session for Icypeas
session = composio.create(
    user_id=os.getenv("COMPOSIO_USER_ID"),
    toolkits=['icypeas']
)

url = session.mcp.url
```

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

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

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

No description provided.
```python
client = MultiServerMCPClient({
    "icypeas-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({
    "icypeas-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 Icypeas 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 Icypeas 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=['icypeas']
    )

    url = session.mcp.url
    
    client = MultiServerMCPClient({
        "icypeas-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 Icypeas 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: ['icypeas']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "icypeas-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 Icypeas 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 Icypeas 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 Icypeas MCP Agent with another framework

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

## Related Toolkits

- [Aeroleads](https://composio.dev/toolkits/aeroleads) - Aeroleads is a B2B lead generation platform for finding business emails and phone numbers. Grow your sales pipeline faster with powerful prospecting tools.
- [Autobound](https://composio.dev/toolkits/autobound) - Autobound is an AI-powered sales engagement platform that crafts hyper-personalized outreach and insights. It helps sales teams boost response rates and close more deals through tailored content and recommendations.
- [Better proposals](https://composio.dev/toolkits/better_proposals) - Better Proposals is a web-based tool for crafting and sending professional proposals. It helps teams impress clients and close deals faster with slick, easy-to-use templates.
- [Bidsketch](https://composio.dev/toolkits/bidsketch) - Bidsketch is a proposal software that helps businesses create professional proposals quickly and efficiently. It streamlines the proposal process, saving time while boosting client win rates.
- [Bolna](https://composio.dev/toolkits/bolna) - Bolna is an AI platform for building conversational voice agents. It helps businesses automate support and streamline interactions through natural, voice-powered conversations.
- [Botsonic](https://composio.dev/toolkits/botsonic) - Botsonic is a no-code AI chatbot builder for easily creating and deploying chatbots to your website. It empowers businesses to offer conversational experiences without writing code.
- [Botstar](https://composio.dev/toolkits/botstar) - BotStar is a comprehensive chatbot platform for designing, developing, and training chatbots visually on Messenger and websites. It helps businesses automate conversations and customer interactions without coding.
- [Callerapi](https://composio.dev/toolkits/callerapi) - CallerAPI is a white-label caller identification platform for branded caller ID and fraud prevention. It helps businesses boost customer trust while stopping spam, fraud, and robocalls.
- [Callingly](https://composio.dev/toolkits/callingly) - Callingly is a lead response management platform that automates immediate call and text follow-ups with new leads. It helps sales teams boost response speed and close more deals by connecting seamlessly with CRMs and lead sources.
- [Callpage](https://composio.dev/toolkits/callpage) - Callpage is a lead capture platform that lets businesses instantly connect with website visitors via callback. It boosts lead generation and increases your sales conversion rates.
- [Clearout](https://composio.dev/toolkits/clearout) - Clearout is an AI-powered service for verifying, finding, and enriching email addresses. It boosts deliverability and helps you discover high-quality leads effortlessly.
- [Clientary](https://composio.dev/toolkits/clientary) - Clientary is a platform for managing clients, invoices, projects, proposals, and more. It streamlines client work and saves you serious admin time.
- [Convolo ai](https://composio.dev/toolkits/convolo_ai) - Convolo ai is an AI-powered communications platform for sales teams. It accelerates lead response and improves conversion rates by automating calls and integrating workflows.
- [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.
- [Docsbot ai](https://composio.dev/toolkits/docsbot_ai) - Docsbot ai is a platform that lets you build custom AI chatbots trained on your documentation. It automates customer support and content generation, saving time and improving response quality.
- [Emelia](https://composio.dev/toolkits/emelia) - Emelia is an all-in-one B2B prospecting platform for cold-email, LinkedIn outreach, and prospect research. It streamlines outbound campaigns so you can find, engage, and warm up leads faster.
- [Findymail](https://composio.dev/toolkits/findymail) - Findymail is a B2B data provider offering verified email and phone contacts for sales prospecting. Enhance outreach with automated exports, email verification, and CRM enrichment.
- [Freshdesk](https://composio.dev/toolkits/freshdesk) - Freshdesk is customer support software with ticketing and automation tools. It helps teams streamline helpdesk operations for faster, better customer support.
- [Fullenrich](https://composio.dev/toolkits/fullenrich) - FullEnrich is a B2B contact enrichment platform that aggregates emails and phone numbers from 15+ data vendors. Instantly find and verify lead contact data to boost your outreach.
- [Gatherup](https://composio.dev/toolkits/gatherup) - GatherUp is a customer feedback and online review management platform. It helps businesses boost their reputation by streamlining how they collect and manage customer feedback.

## Frequently Asked Questions

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

With a standalone Icypeas MCP server, the agents and LLMs can only access a fixed set of Icypeas tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Icypeas 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 Icypeas tools.

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

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

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