Enrich CRM MCP Server for LangChainGive LangChain instant access to 5 tools to Enrich Company, Enrich Person, Find Email, and more
LangChain is the leading Python framework for composable LLM applications. Connect Enrich CRM 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 Enrich CRM app connector for LangChain is a standout in the Productivity category — giving your AI agent 5 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({
"enrich-crm": {
"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 Enrich CRM, 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 Enrich CRM MCP Server
Connect your Enrich CRM account to any AI agent to streamline your B2B intelligence and sales automation workflows through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Enrich CRM through native MCP adapters. Connect 5 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
- Company Orchestration — Retrieve detailed firmographics, technical stacks, and financial data using only a company domain programmatically
- Person Enrichment — Access professional backgrounds, verified emails, and direct phone lines for your target prospects to maintain a high-fidelity database
- Email Discovery — Programmatically find and verify professional email addresses using name and domain combinations directly through your agent
- Phone Intelligence — Retrieve direct phone lines to bypass switchboards and reach decision-makers faster
- Account Visibility — Monitor your remaining credits and subscription status directly through your agent for instant operational reporting
The Enrich CRM MCP Server exposes 5 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 5 Enrich CRM tools available for LangChain
When LangChain connects to Enrich CRM through Vinkius, your AI agent gets direct access to every tool listed below — spanning enrich-crm, lead-enrichment, b2b-data, 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.
Enrich company data
Enrich person data
Find a professional email address
Find a professional phone number
Check account status
Connect Enrich CRM to LangChain via MCP
Follow these steps to wire Enrich CRM 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 Enrich CRM MCP Server
LangChain provides unique advantages when paired with Enrich CRM through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Enrich CRM 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 Enrich CRM queries for multi-turn workflows
Enrich CRM + LangChain Use Cases
Practical scenarios where LangChain combined with the Enrich CRM MCP Server delivers measurable value.
RAG with live data: combine Enrich CRM tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Enrich CRM, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Enrich CRM tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Enrich CRM tool call, measure latency, and optimize your agent's performance
Example Prompts for Enrich CRM in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Enrich CRM immediately.
"Enrich the company with domain 'google.com' using Enrich CRM."
"Find the professional email for 'Satya Nadella' at 'microsoft.com'."
"Check my remaining enrichment credits."
Troubleshooting Enrich CRM MCP Server with LangChain
Common issues when connecting Enrich CRM to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersEnrich CRM + LangChain FAQ
Common questions about integrating Enrich CRM 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.