How to Use the Amplemarket MCP in LangChain

Q: How do I connect Amplemarket to LangChain?

Install langchain-mcp-adapters. Initialize a MultiServerMCPClient with your Vinkius URL and pass the resulting tools directly into your createagent function.

Q: Can LangChain agents read my Amplemarket sequences?

Yes. The agent uses the listsequences tool to pull active campaigns. It parses the JSON output and decides which sequence fits a newly enriched contact.

Q: How do I prevent LangChain from emailing excluded Amplemarket contacts?

Add a validation step in your chain that calls listexclusions. The agent checks this list before formatting any outbound message.

Connect Amplemarket to LangChain via MCP to enrich leads and read active sequences directly in your graphs.

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Connect Amplemarket MCP to LangChain

Create your Vinkius account to connect Amplemarket to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Amplemarket with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Tie `enrich_company` into ReAct agents

LangChain agents excel at multi-step reasoning. Give your agent the `enrich_company` and `enrich_person` tools to automatically research inbound leads before writing emails. The agent decides what data it needs, fetches it, and passes the context down the chain. You get full observability through LangSmith. Watch exactly how many tokens your agent spends pulling contact details via `get_contact`. If a step fails, the agent reads the error and tries a different search strategy on its own.

Amplemarket MCP Server for sales graphs

Building a lead qualification graph requires knowing who you already emailed. Your LangGraph setup can call `list_sequences` to check active outreach campaigns. The output flows directly into your next node to filter out existing prospects. Stop guessing if a contact is off-limits. The agent hits `list_exclusions` during the routing phase. This prevents your automated outreach chains from messaging opt-outs, keeping your domain reputation safe.

Process bulk contacts in LangChain

Sometimes you need to run operations across your entire CRM. By exposing `list_contacts` to your chain, you pull raw arrays of prospect data. Map those results across parallel worker nodes to evaluate hundreds of leads simultaneously. Everything connects via the Vinkius endpoint token. You pass the URL to `MultiServerMCPClient`, and LangChain handles the HTTP transport. Your agents start interacting with live sales data without writing custom API wrappers.

Setup guide

Set up Amplemarket MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Amplemarket tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "amplemarket-alternative-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent Amplemarket transactions"
    })
    print(result["messages"][-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Amplemarket. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Amplemarket MCP in LangChain

Install `langchain-mcp-adapters`. Initialize a `MultiServerMCPClient` with your Vinkius URL and pass the resulting tools directly into your `create_agent` function.

Yes. The agent uses the `list_sequences` tool to pull active campaigns. It parses the JSON output and decides which sequence fits a newly enriched contact.

Every tool execution logs automatically. You see the exact payload sent to the server and the latency of the response right in your trace dashboard.

Add a validation step in your chain that calls `list_exclusions`. The agent checks this list before formatting any outbound message.

We run the server in an ephemeral V8 isolate sandbox. When your agent fetches emails and phone numbers, that data passes through a zero-trust tunnel and immediately disappears from our memory.

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