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RocketReach MCP Server for LangChainGive LangChain instant access to 12 tools to Check Lookup Status, Create Webhook, Delete Webhook, and more

Built by Vinkius GDPR 12 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect RocketReach through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Ask AI about this App Connector for LangChain

The RocketReach app connector for LangChain is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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({
        "rocketreach": {
            "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 RocketReach, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
RocketReach
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 RocketReach MCP Server

Connect your RocketReach account to any AI agent and take full control of your B2B lead generation and contact enrichment orchestration through natural conversation. RocketReach provides a premier platform for finding verified emails and phone numbers, and this integration allows you to search for professionals, retrieve company metadata, and manage webhooks directly from your chat interface.

LangChain's ecosystem of 500+ components combines seamlessly with RocketReach through native MCP adapters. Connect 12 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

  • Lead & Person Orchestration — Search for professionals by name, title, or company and retrieve detailed profile metadata programmatically.
  • Contact Enrichment Intelligence — Perform instant lookups for specific individuals using RocketReach IDs or LinkedIn URLs to reveal verified contact info directly from the AI interface.
  • Company & Firmographic Control — Search and retrieve detailed company profiles, including domains and employee counts via natural language.
  • Usage & Credit Oversight — Access real-time account profile metadata and monitor credit usage to ensure your outreach campaigns are always optimized.
  • Operational Monitoring — Track system activity, manage webhooks, and retrieve billing info using simple AI commands.

The RocketReach MCP Server exposes 12 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.

All 12 RocketReach tools available for LangChain

When LangChain connects to RocketReach through Vinkius, your AI agent gets direct access to every tool listed below — spanning b2b-database, contact-enrichment, verified-emails, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_lookup_status

Check async lookup status

create_webhook

complete. Create a new webhook

delete_webhook

Delete a webhook

get_account_info

Get account profile

get_billing_info

Get billing details

get_credit_usage

Get credit usage stats

list_recent_searches

List search history

list_webhooks

List configured webhooks

lookup_company

Get company details

lookup_person

Consumes 1 credit. Get verified contact info

search_companies

Search for companies

search_people

Search for professionals

Connect RocketReach to LangChain via MCP

Follow these steps to wire RocketReach into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save the code and run python agent.py
04

Explore tools

The agent discovers 12 tools from RocketReach via MCP

Why Use LangChain with the RocketReach MCP Server

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

01

The largest ecosystem of integrations, chains, and agents. combine RocketReach MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across RocketReach queries for multi-turn workflows

RocketReach + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for RocketReach in LangChain

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

01

"Search for 'John Doe' who works at 'Google'."

02

"Search for VP of Engineering contacts at Series B SaaS companies in San Francisco."

03

"Look up the complete profile and contact information for the CEO of Meridian Corp."

Troubleshooting RocketReach MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

RocketReach + LangChain FAQ

Common questions about integrating RocketReach MCP Server with LangChain.

01

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.
02

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.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.