Can I see the value of my sales pipeline through the agent?

Yes! Use the `list_sales_deals` tool. The agent will return all open deals, and you can ask it to calculate the total value based on the amounts listed in Clientify.

How do I check the last interaction with a specific contact?

Use the `get_contact_crm_details` tool. Your agent will fetch the contact's profile, including recent activities and tags, to give you full context on the relationship.

Where do I find my Clientify API Key?

Log in to your Clientify account, go to **Settings**, select **My Account**, and navigate to the **API** section to generate and copy your token.

Clientify MCP Server for LangChain 8 tools — connect in under 2 minutes

Name: Clientify
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 8 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Clientify through 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({
        "clientify": {
            "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 Clientify, 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 Clientify MCP Server

Connect your Clientify CRM account to any AI agent and take full control of your sales and marketing automation through natural conversation. Streamline how you manage contacts, deals, and daily activities natively.

LangChain's ecosystem of 500+ components combines seamlessly with Clientify 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

Contact Oversight — List and retrieve details for all contacts including tags and status natively
Deal Intelligence — Access and monitor sales opportunities and deal values flawlessly
Activity Auditing — List and review CRM activities such as calls, emails, and meetings securely
Pipeline Logistics — Monitor sales pipelines to understand your revenue flow flawlessly
Company Management — List all companies stored in your account to maintain B2B relationships securely
User Visibility — Access your own profile and CRM metadata directly within your workspace flawlessly

The Clientify 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 Clientify to LangChain via MCP

Follow these steps to integrate the Clientify 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 Clientify via MCP

Why Use LangChain with the Clientify MCP Server

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

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

Clientify + LangChain Use Cases

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

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

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

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

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

Clientify MCP Tools for LangChain (8)

These 8 tools become available when you connect Clientify to LangChain via MCP:

get_contact_crm_details

Get detailed information for a specific contact

get_deal_details

Get detailed information for a specific sales deal

get_my_clientify_profile

Retrieve information about the authenticated CRM user

list_clientify_companies

List all companies stored in Clientify

list_clientify_contacts

List all contacts in Clientify CRM

list_crm_activities

List CRM activities such as calls, emails, and meetings

list_sales_deals

List sales opportunities and deals

list_sales_pipelines

List sales pipelines configured in the account

Example Prompts for Clientify in LangChain

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

"List my last 5 sales deals in Clientify."

"Show me the details for contact ID '12345'."

"List all active CRM pipelines."

Troubleshooting Clientify MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Clientify + LangChain FAQ

Common questions about integrating Clientify 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.