How to Use the Amplemarket MCP in LangChain

Q: Can my LangChain agent create new lead lists in Amplemarket?

Yes, it can. The createleadlist tool lets your agent create new, empty lists inside your Amplemarket account. You can then chain this with other tools to populate that list with fresh leads.

Q: What's the best way to handle different sequences in LangChain for Amplemarket?

Have your agent call listsequences to get the IDs and names of all available sequences. Then, your agent's logic can decide which sequence is appropriate for a given lead before using addleadstosequence. This makes your outreach much more targeted.

Q: Can I trigger custom Amplemarket signals from my agent?

Absolutely. The triggercustomsignal tool is exposed to your agent. This is perfect for custom workflows, like notifying another system or updating a lead's status based on an external event.

Build sales automation agents in LangChain. Find leads, add them to sequences, and manage your pipeline with code.

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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

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Build Autonomous Sales Funnels

Your LangChain agent can now run your entire top-of-funnel. It starts by using `search_people` to find B2B contacts that match your ideal customer profile. No more manual prospecting. Once it has a list of qualified prospects, the agent decides the next best action. It can use `create_lead_list` to organize them, then pipe those leads directly into a sequence with `add_leads_to_sequence`. This isn't just a script; it's a reasoning loop that manages your sales pipeline.

Dynamic Sequence Management with LangChain

Give your agent the ability to check on your sales engine. It can call `list_sequences` and `list_lead_lists` to get a current snapshot of all your active campaigns and contact lists inside Amplemarket. From there, your agent can make decisions. Maybe it adds a new high-value contact to a specific sequence using `add_leads_to_sequence` or triggers a follow-up with `trigger_custom_signal`. You define the goal, and your LangChain agent figures out the steps.

Traceable, Multi-Step Prospecting

Every action your agent takes is fully observable. When it calls `find_person` to get details on a specific VP of Engineering, you see the exact inputs and outputs in your trace. This makes debugging complex sales chains simple. If a lead isn't added to a list correctly with `add_leads_to_list`, you can pinpoint the failure instantly. You're not just running automation; you're building a reliable, auditable sales system with this MCP Server.

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-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

First, get the Amplemarket tools for your agent. Then, define a prompt that instructs it to use `search_people` to find contacts and `add_leads_to_sequence` to enroll them. The LangChain agent handles the logic of calling the right tool at the right time.

Yes, it can. The `create_lead_list` tool lets your agent create new, empty lists inside your Amplemarket account. You can then chain this with other tools to populate that list with fresh leads.

Have your agent call `list_sequences` to get the IDs and names of all available sequences. Then, your agent's logic can decide which sequence is appropriate for a given lead before using `add_leads_to_sequence`. This makes your outreach much more targeted.

Absolutely. The `trigger_custom_signal` tool is exposed to your agent. This is perfect for custom workflows, like notifying another system or updating a lead's status based on an external event.

Your Amplemarket contact data, including names and email addresses, is only passed through the server during a tool call. Vinkius uses ephemeral, sandboxed environments for each request. We don't store your lead information after the operation is complete.

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