Close MCP Server for LangChain 8 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Close 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({
"close": {
"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 Close, 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 Close MCP Server
Connect your Close CRM account to any AI agent and take full control of your sales automation through natural conversation. Streamline how you manage leads, deals, and daily to-dos natively.
LangChain's ecosystem of 500+ components combines seamlessly with Close 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
- Lead Oversight — List and retrieve details for all leads (companies) including status and contact info natively
- Opportunity Intelligence — Access and monitor sales deals and their values across different pipelines flawlessly
- Task Management — List and review CRM tasks and reminders to stay on top of your follow-ups securely
- Pipeline Logistics — Monitor sales pipelines and understand where deals are in the funnel flawlessly
- Status Tracking — List available stages for leads and opportunities to maintain clean data flawlessly
- User Visibility — Access your own profile and core CRM metadata directly within your workspace flawlessly
The Close 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 Close to LangChain via MCP
Follow these steps to integrate the Close 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 Close via MCP
Why Use LangChain with the Close MCP Server
LangChain provides unique advantages when paired with Close through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Close 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 Close queries for multi-turn workflows
Close + LangChain Use Cases
Practical scenarios where LangChain combined with the Close MCP Server delivers measurable value.
RAG with live data: combine Close tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Close, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Close tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Close tool call, measure latency, and optimize your agent's performance
Close MCP Tools for LangChain (8)
These 8 tools become available when you connect Close to LangChain via MCP:
get_lead_details
Get detailed information for a specific lead
get_my_close_profile
Retrieve information about the authenticated user
get_opportunity_details
Get detailed information for a specific opportunity
list_close_leads
List all leads in Close CRM
list_close_opportunities
List all sales opportunities
list_close_pipelines
List sales pipelines configured in the account
list_close_tasks
List CRM tasks and reminders
list_lead_statuses
List available stages/statuses for leads
Example Prompts for Close in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Close immediately.
"List my last 5 leads in Close."
"Show me the value of my current sales pipeline."
"What are my pending tasks for this week?"
Troubleshooting Close MCP Server with LangChain
Common issues when connecting Close to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersClose + LangChain FAQ
Common questions about integrating Close 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 Close 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 Close to LangChain
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.