Custify MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Custify through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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({
"custify": {
"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 Custify, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* 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 Custify MCP Server
Integrate Custify, the comprehensive customer success platform, directly into your AI workflow. Monitor customer health, track churn risks, and manage your success tasks and notes using natural language.
LangChain's ecosystem of 500+ components combines seamlessly with Custify through native MCP adapters. Connect 10 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
- Customer Oversight — List and retrieve detailed profiles, health scores, and churn probabilities for all customers.
- Company Monitoring — Access company-level metrics and success data to manage B2B relationships effectively.
- Success Task Management — List and track open tasks and internal CRM notes for your accounts.
- KPI Discovery — Explore key performance indicators and metrics defined in your Custify account.
The Custify MCP Server exposes 10 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 Custify to LangChain via MCP
Follow these steps to integrate the Custify 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 10 tools from Custify via MCP
Why Use LangChain with the Custify MCP Server
LangChain provides unique advantages when paired with Custify through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Custify 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 Custify queries for multi-turn workflows
Custify + LangChain Use Cases
Practical scenarios where LangChain combined with the Custify MCP Server delivers measurable value.
RAG with live data: combine Custify tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Custify, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Custify tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Custify tool call, measure latency, and optimize your agent's performance
Custify MCP Tools for LangChain (10)
These 10 tools become available when you connect Custify to LangChain via MCP:
create_customer_profile
Resolves the newly generated customer ID and validation status. Mutates the customer database state. Create a new customer profile in Custify
get_company_details
Resolves organizational attributes and health metrics. Touches the core company repository. Get detailed settings and metrics for a specific company
get_customer_details
Resolves health scores, recent activity, and segment membership. Interacts with the behavioral analytics boundary. Get full profile and health metrics for a specific customer
list_companies
Resolves company IDs, domain information, and association metrics. Touches the account-level organization boundary. List all companies in Custify
list_customer_kpis
Resolves metric definitions and threshold values. Interacts with the performance monitoring boundary. List key performance indicators defined in the account
list_customer_notes
Resolves note content and authorship metadata. Touches the internal communications boundary. List internal CRM notes for a specific customer
list_customer_success_tasks
Resolves task priority, status, and assigned owners. Interacts with the workflow automation boundary. List open and completed customer success tasks
list_customers
Resolves properties such as customer ID, name, email, and lifecycle stage. Interacts with the customer success management boundary. List all customers in Custify
list_people
Resolves contact details and account associations. Touches the relationship management boundary. List all people associated with accounts
search_customers_by_keyword
Resolves matching customer profiles based on name or email. Touches the search and indexing boundary. Search for customers by name or email
Example Prompts for Custify in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Custify immediately.
"List all customers with a health score below 50."
"Show me the success tasks for company 'Alpha Corp'."
"Search for customer 'john.doe@example.com'."
Troubleshooting Custify MCP Server with LangChain
Common issues when connecting Custify to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersCustify + LangChain FAQ
Common questions about integrating Custify MCP Server with LangChain.
How does LangChain connect to MCP servers?
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?
Can I trace MCP tool calls in LangSmith?
Connect Custify with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Custify to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.