Proxycurl (LinkedIn Data) MCP Server for LangChainGive LangChain instant access to 18 tools to Add Monitor Target, Check Disposable Email, Company Website Lookup, and more
GDPR Free for SubscribersLangChain is the leading Python framework for composable LLM applications. Connect Proxycurl (LinkedIn Data) 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 for LangChain
The Proxycurl (LinkedIn Data) MCP Server for LangChain is a standout in the Sales Automation category — giving your AI agent 18 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport 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({
"proxycurl-linkedin-data": {
"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 Proxycurl (LinkedIn Data), 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 Proxycurl (LinkedIn Data) MCP Server
Connect Proxycurl to your AI agent to access real-time B2B intelligence and LinkedIn-derived data. This server provides a powerful suite of tools for sales, recruitment, and market research.
LangChain's ecosystem of 500+ components combines seamlessly with Proxycurl (LinkedIn Data) through native MCP adapters. Connect 18 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 Intelligence — Resolve company names to websites, fetch logos, and retrieve deep metadata including industry and leadership using
company_website_lookupandget_company_details. - Financial Insights — Access complete funding histories, investment rounds, and participating investors for private and public companies via
get_company_funding. - People Data — Enrich professional profiles from work emails or names with
get_employee_profile, and search for employees within specific organizations usingsearch_employees. - Market Analysis — Identify competitors based on product similarity with
get_competitor_listingand list probable customers or partners. - Monitoring — Create and manage monitor feeds to track organizational changes over time using
create_monitor_feed.
The Proxycurl (LinkedIn Data) MCP Server exposes 18 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 18 Proxycurl (LinkedIn Data) tools available for LangChain
When LangChain connects to Proxycurl (LinkedIn Data) through Vinkius, your AI agent gets direct access to every tool listed below — spanning linkedin-data, b2b-intelligence, company-enrichment, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Add monitor target on Proxycurl (LinkedIn Data)
Add a target to an existing monitor feed
Check disposable email on Proxycurl (LinkedIn Data)
Detect temporary or throwaway email addresses
Company website lookup on Proxycurl (LinkedIn Data)
Resolve a company name to its canonical website URL
Create monitor feed on Proxycurl (LinkedIn Data)
Create a new monitor feed for company changes
Get company details on Proxycurl (LinkedIn Data)
Retrieve comprehensive company metadata and leadership teams
Get company employee count on Proxycurl (LinkedIn Data)
Retrieve the estimated headcount range for a company
Get company funding on Proxycurl (LinkedIn Data)
It may take up to 5 minutes. Retrieve full funding history, rounds, and participating investors
Get company logo on Proxycurl (LinkedIn Data)
Retrieve a 128x128 PNG logo URL for any company
Get company updates on Proxycurl (LinkedIn Data)
Aggregate blog posts and X/Twitter updates into a mixed timeline
Get competitor listing on Proxycurl (LinkedIn Data)
Find competitors and the reasoning (keyword overlap or product similarity)
Get credit balance on Proxycurl (LinkedIn Data)
Check your remaining API credit balance
Get customer listing on Proxycurl (LinkedIn Data)
Get a list of probable customers, investors, and partner platforms
Get employee profile on Proxycurl (LinkedIn Data)
Enrich professional profiles from work emails or name/employer combinations
Get monitor rss on Proxycurl (LinkedIn Data)
Get the RSS feed for a specific monitor feed
Get similar employees on Proxycurl (LinkedIn Data)
Repeat queries are served free from cache. Find counterparts in similar roles at competing companies
List monitor feeds on Proxycurl (LinkedIn Data)
List all active monitor feeds
Lookup work email on Proxycurl (LinkedIn Data)
Best-effort lookup of a public work email from a name and domain
Search employees on Proxycurl (LinkedIn Data)
Find current employees of a company by role and geography
Connect Proxycurl (LinkedIn Data) to LangChain via MCP
Follow these steps to wire Proxycurl (LinkedIn Data) into LangChain. The entire setup takes under two minutes — your credentials stay safe behind 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 Proxycurl (LinkedIn Data) MCP Server
LangChain provides unique advantages when paired with Proxycurl (LinkedIn Data) through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Proxycurl (LinkedIn Data) 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 Proxycurl (LinkedIn Data) queries for multi-turn workflows
Proxycurl (LinkedIn Data) + LangChain Use Cases
Practical scenarios where LangChain combined with the Proxycurl (LinkedIn Data) MCP Server delivers measurable value.
RAG with live data: combine Proxycurl (LinkedIn Data) tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Proxycurl (LinkedIn Data), synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Proxycurl (LinkedIn Data) tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Proxycurl (LinkedIn Data) tool call, measure latency, and optimize your agent's performance
Example Prompts for Proxycurl (LinkedIn Data) in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Proxycurl (LinkedIn Data) immediately.
"Find the official website for 'Nvidia'."
"Show me the funding history for 'SpaceX'."
"Who are the main competitors for 'Zoom'?"
Troubleshooting Proxycurl (LinkedIn Data) MCP Server with LangChain
Common issues when connecting Proxycurl (LinkedIn Data) to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersProxycurl (LinkedIn Data) + LangChain FAQ
Common questions about integrating Proxycurl (LinkedIn Data) 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?
Explore More MCP Servers
View all →
Anyscale
7 toolsOrchestrate your Anyscale infrastructure — manage LLM queries, vectors, services, and cluster batch jobs directly from your AI agent.
Basecamp
7 toolsManage your Basecamp projects via AI — list tasks, read message boards, track campfire logs, and orchestrate to-dos seamlessly.
GoZen Testimonials
13 toolsCollect and showcase video testimonials from happy customers with branded recording pages and embeddable display widgets.
Redis Vector
6 toolsEquip your AI to autonomously manage embeddings, run KNN similarity searches, and administrate vector indexes natively inside your Redis stack.