Apollo.io MCP Server for LangChain 8 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Apollo.io through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
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Vinkius supports streamable HTTP and SSE.
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({
"apolloio": {
"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 Apollo.io, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* 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 Apollo.io MCP Server
The Apollo.io MCP Server provides direct access to one of the world's largest B2B databases. Connect your Apollo account to your AI agent to automate prospecting, data enrichment, and outreach workflows using natural language.
LangChain's ecosystem of 500+ components combines seamlessly with Apollo.io through native MCP adapters. Connect 8 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
- Targeted Prospecting — Search for people and organizations using granular filters like job titles, industries, and locations.
- Data Enrichment — Instantly fill in missing details for people and companies. Get verified emails, phone numbers, and company insights.
- Engagement Automation — List your sales sequences and add new contacts to them directly from your chat.
- Workspace Management — Search and manage your saved contacts within your Apollo workspace.
The Apollo.io MCP Server exposes 8 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 Apollo.io to LangChain via MCP
Follow these steps to integrate the Apollo.io 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 8 tools from Apollo.io via MCP
Why Use LangChain with the Apollo.io MCP Server
LangChain provides unique advantages when paired with Apollo.io through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Apollo.io 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 Apollo.io queries for multi-turn workflows
Apollo.io + LangChain Use Cases
Practical scenarios where LangChain combined with the Apollo.io MCP Server delivers measurable value.
RAG with live data: combine Apollo.io tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Apollo.io, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Apollo.io tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Apollo.io tool call, measure latency, and optimize your agent's performance
Apollo.io MCP Tools for LangChain (8)
These 8 tools become available when you connect Apollo.io to LangChain via MCP:
add_contact_to_sequence
Add contact to sequence
get_call
Get call details
get_contact
Get contact by ID
list_email_accounts
List connected email accounts
list_sequences
List sequences/campaigns
search_contacts
Search Apollo contacts
search_organizations
Search organizations
search_people
Search mixed people
Example Prompts for Apollo.io in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Apollo.io immediately.
"Find people with the title 'CEO' in the 'Software' industry located in San Francisco."
"Enrich the organization data for 'vinkius.com'."
"Add contact 'c_123' to my 'New Year Campaign' sequence."
Troubleshooting Apollo.io MCP Server with LangChain
Common issues when connecting Apollo.io to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersApollo.io + LangChain FAQ
Common questions about integrating Apollo.io MCP Server with LangChain.
How does LangChain connect to MCP servers?
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?
Can I trace MCP tool calls in LangSmith?
Connect Apollo.io with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Apollo.io to LangChain
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.