How do I apply a tag to a contact using the agent?

Use the `apply_tag_to_contact` tool with the specific `tag_id` and `contact_id`. This is great for manual segmentation during a conversation.

Can I see all my automation campaigns?

Yes, the `list_campaigns` tool retrieves all campaigns configured in your Keap account, allowing you to monitor active sequences.

Is it possible to query sales opportunities?

Absolutely. Use the `list_opportunities` tool to see your current sales pipeline and track potential deals.

Keap MCP Server for LangChain 11 tools — connect in under 2 minutes

Name: Keap
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 11 Tools Framework

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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

asyncio.run(main())

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 Keap MCP Server

Connect your Keap (formerly Infusionsoft) account to any AI agent to optimize your CRM and sales workflows. This MCP server enables your agent to interact with contacts, tags, and automation campaigns directly from natural language interfaces.

LangChain's ecosystem of 500+ components combines seamlessly with Keap through native MCP adapters. Connect 11 tools via the 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

Contact Management — List, retrieve, and create contact profiles to maintain your lead database
Marketing Automation — List and monitor active campaigns and automation sequences
Segmentation — Manage tags and apply them to contacts to trigger specific workflows
Sales Pipeline — Query opportunities and deals to track your revenue growth
Billing Visibility — Access invoices and orders to stay on top of customer transactions

The Keap MCP Server exposes 11 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 Keap to LangChain via MCP

Follow these steps to integrate the Keap 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 11 tools from Keap via MCP

Why Use LangChain with the Keap MCP Server

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

The largest ecosystem of integrations, chains, and agents — combine Keap 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 Keap queries for multi-turn workflows

Keap + LangChain Use Cases

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

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

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

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

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

Keap MCP Tools for LangChain (11)

These 11 tools become available when you connect Keap to LangChain via MCP:

apply_tag_to_contact

Apply a tag to a specific contact

create_contact

Requires at least a first name or email. Create a new contact in Keap

get_business_profile

Get Keap business profile information

get_contact

Get details for a specific contact

list_campaigns

List all marketing campaigns

list_contacts

Use this to search for leads or customers. List all contacts in Keap

list_invoices

List all invoices

list_opportunities

List sales opportunities

list_orders

List ecommerce orders

list_tags

List all available tags

list_users

List all application users

Example Prompts for Keap in LangChain

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

"Find a contact with email 'john@example.com' in Keap."

"Show me all my available tags in Keap."

"List my recent ecommerce orders."

Troubleshooting Keap MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Keap + LangChain FAQ

Common questions about integrating Keap MCP Server with LangChain.

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.

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.