How to Use the FirstQuadrant MCP in LangChain

Build self-correcting outbound pipelines where your LangChain agents research leads and run outreach sequences autonomously.

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Connect FirstQuadrant MCP to LangChain

Create your Vinkius account to connect FirstQuadrant 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 FirstQuadrant with LangChain

Ask AI about this MCP

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Claude

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Automate lead generation with LangChain agents

The `create_contact` tool lets your LangChain agent run the entire prospecting cycle by adding leads directly to your system. The output of your contact creation flows directly into your enrichment steps without manual glue code. You get clean, researched lead profiles instantly. Your agent pulls raw data, checks the custom fields with `list_properties_schema`, and populates your pipeline while you focus on closing deals.

Build self-correcting outreach loops

The `list_campaigns` tool connects your email sequences directly to live agent reasoning. By exposing campaign lists as tools, your chains can evaluate lead responses and enroll contacts into the right sequence on the fly. No more bulk-uploading stale CSVs. Your agent reads current context, checks the `get_contact_details` payload, and makes an informed decision on where to route each prospect.

Track sales activities with full visibility

The `list_activities` tool tracks how your agent performs by showing what touchpoints occurred. Your agent checks this activity log to prevent double-emailing or broken follow-up threads. This setup gives you a clear audit trail of every automated action. You can see exactly why an agent chose a specific prospect by querying `list_contacts` and matching it against your sequence history.

Setup guide

Set up FirstQuadrant 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 FirstQuadrant 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({
    "firstquadrant-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 FirstQuadrant transactions"
    })
    print(result["messages"][-1].content)

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Common questions about FirstQuadrant MCP in LangChain

Install the MCP adapter package and initialize the client with the Vinkius endpoint. Pass the tools directly to your agent constructor to let it run tools like `create_contact` or `enrich_contact_ai` inside your chains.

Yes, because LangChain excels at chaining tool outputs. Your agent can call `list_contacts` to find stale leads, run `enrich_contact_ai` on them, and then execute `add_to_campaign` based on the new data.

Use LangSmith to trace the exact input and output of every tool call. If `add_to_campaign` fails because of a missing property, the trace shows the exact schema error returned by `list_properties_schema`.

No. Vinkius hosts and manages the server on cloud infrastructure, giving you a single secure endpoint token to access all the underlying sales tools.

Vinkius runs the MCP Server in an isolated sandbox where your contact details and sales activities are never stored. The raw lead data simply passes through to execute your requests and is immediately wiped from memory.

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