Onpipeline MCP Server for LangChainGive LangChain instant access to 11 tools to Create Crm Contact, Create Crm Deal, Create Crm Organization, and more
LangChain is the leading Python framework for composable LLM applications. Connect Onpipeline 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 App Connector for LangChain
The Onpipeline app connector for LangChain is a standout in the Industry Titans category — giving your AI agent 11 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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({
"onpipeline": {
"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 Onpipeline, 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 Onpipeline MCP Server
Connect your Onpipeline account to any AI agent and take full control of your sales orchestration and pipeline management through natural conversation. Onpipeline is a powerful and intuitive CRM designed for high-velocity sales teams, and this integration allows you to retrieve deal metadata, update customer records, and monitor organization history directly from your chat interface.
LangChain's ecosystem of 500+ components combines seamlessly with Onpipeline through native MCP adapters. Connect 11 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
- Deal & Opportunity Orchestration — List all managed deals and retrieve detailed status metadata programmatically to ensure your sales pipeline is always synchronized.
- Contact & CRM Intelligence — Access and monitor your centralized database of persons and organizations directly from the AI interface to maintain high-fidelity customer profiles.
- Pipeline Discovery — Search through your sales stages and retrieve deal history via natural language to drive better forecasting efficiency.
- Lead Management Control — Create new deals, persons, and organization records using simple AI commands to reduce manual data entry.
- Operational Monitoring — Track system responses and manage organization-wide activity to ensure your sales workflows are always optimized.
The Onpipeline 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.
All 11 Onpipeline tools available for LangChain
When LangChain connects to Onpipeline through Vinkius, your AI agent gets direct access to every tool listed below — spanning onpipeline, sales-crm, pipeline-api, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Create a new contact
Create a new deal
Create a new organization
Get details for a specific contact
Get details for a specific deal
List all CRM activities
List CRM contacts (persons)
List all sales deals
List calendar events
List CRM organizations (companies)
List all sales pipelines
Connect Onpipeline to LangChain via MCP
Follow these steps to wire Onpipeline into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the Onpipeline MCP Server
LangChain provides unique advantages when paired with Onpipeline through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Onpipeline 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 Onpipeline queries for multi-turn workflows
Onpipeline + LangChain Use Cases
Practical scenarios where LangChain combined with the Onpipeline MCP Server delivers measurable value.
RAG with live data: combine Onpipeline tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Onpipeline, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Onpipeline tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Onpipeline tool call, measure latency, and optimize your agent's performance
Example Prompts for Onpipeline in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Onpipeline immediately.
"List all my current deals in Onpipeline."
"Show me all sales pipelines and their current stage breakdown."
"Get the full details and activity history for deal ID d_4521."
Troubleshooting Onpipeline MCP Server with LangChain
Common issues when connecting Onpipeline to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersOnpipeline + LangChain FAQ
Common questions about integrating Onpipeline 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.