How do I find my HeyReach API Key?

Log in to your HeyReach account, navigate to **Settings**, and you will find your unique **API Key** in the API section. Ensure you have the necessary administrative permissions.

Can I add leads to a campaign that hasn't been launched?

No, campaigns must be launched at least once in the HeyReach web interface before you can add leads to them via the API or this integration.

How many leads can I add in one request?

The `add_leads_to_campaign` tool supports adding up to 100 leads in a single batch request to ensure optimal performance and adherence to rate limits.

Is the integration secure for my LinkedIn data?

Absolutely. The integration uses official HeyReach API keys over HTTPS. Your credentials and LinkedIn access tokens are encrypted and stored securely within the Vinkius Cloud infrastructure.

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

Name: HeyReach
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 HeyReach through the 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({
        "heyreach": {
            "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 HeyReach, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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* 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 HeyReach MCP Server

Connect your HeyReach.io account to any AI agent and take full control of your LinkedIn outreach and lead generation through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with HeyReach through native MCP adapters. Connect 10 tools via the 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

Campaign Oversight — List all outreach campaigns, monitor their status, and pause or resume them as needed.
Lead Management — Import new leads from LinkedIn profile URLs and retrieve detailed prospect information.
Account Visibility — List all connected LinkedIn accounts (senders) and monitor which profile is driving your outreach.
Inbox Automation — Access recent conversations and send replies directly from the chat interface.
Campaign Tracking — Check which campaigns a specific lead is part of to ensure consistent communication.
Operational Efficiency — Add up to 100 leads to a campaign in a single high-throughput request.

The HeyReach 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 HeyReach to LangChain via MCP

Follow these steps to integrate the HeyReach 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 HeyReach via MCP

Why Use LangChain with the HeyReach MCP Server

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

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

HeyReach + LangChain Use Cases

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

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

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

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

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

HeyReach MCP Tools for LangChain (10)

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

add_leads_to_campaign

Pass the leads array as a JSON string in "leads_json" (e.g., [{"firstName": "John", "lastName": "Doe", "profileUrl": "..."}]). Import new leads into a specific campaign

get_api_profile

Check API key validity and get basic account info

get_lead_details

Get detailed information about a lead using their LinkedIn profile URL

list_campaigns

Use this to find the "campaignId" for adding leads or managing status. List all LinkedIn outreach campaigns

list_conversations

List recent LinkedIn inbox conversations

list_lead_campaigns

List all campaigns a specific lead is part of

list_linkedin_accounts

Use this to identify which account is sending messages. List all LinkedIn accounts (senders) connected to the workspace

pause_campaign

Pause an active LinkedIn campaign

resume_campaign

Resume a paused LinkedIn campaign

send_linkedin_message

Pass the payload as a JSON string in "body_json" (requires conversationId and text). Send a message to a LinkedIn conversation

Example Prompts for HeyReach in LangChain

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

"List all my active LinkedIn campaigns."

"Add Jane Doe (https://linkedin.com/in/janedoe) to campaign ID 5501."

"Show me the latest conversations from my LinkedIn inbox."

Troubleshooting HeyReach MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

HeyReach + LangChain FAQ

Common questions about integrating HeyReach 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.