Proxycurl (LinkedIn Data) MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 18 tools to Add Monitor Target, Check Disposable Email, Company Website Lookup, and more
GDPR Free for SubscribersThe OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Proxycurl (LinkedIn Data) through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this MCP Server for OpenAI Agents SDK
The Proxycurl (LinkedIn Data) MCP Server for OpenAI Agents SDK 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 agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Proxycurl (LinkedIn Data) Assistant",
instructions=(
"You help users interact with Proxycurl (LinkedIn Data). "
"You have access to 18 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Proxycurl (LinkedIn Data)"
)
print(result.final_output)
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.
The OpenAI Agents SDK auto-discovers all 18 tools from Proxycurl (LinkedIn Data) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Proxycurl (LinkedIn Data), another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK
When OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to wire Proxycurl (LinkedIn Data) into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the Proxycurl (LinkedIn Data) MCP Server
OpenAI Agents SDK provides unique advantages when paired with Proxycurl (LinkedIn Data) through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Proxycurl (LinkedIn Data) + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Proxycurl (LinkedIn Data) MCP Server delivers measurable value.
Automated workflows: build agents that query Proxycurl (LinkedIn Data), process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Proxycurl (LinkedIn Data), another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Proxycurl (LinkedIn Data) tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Proxycurl (LinkedIn Data) to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for Proxycurl (LinkedIn Data) in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Proxycurl (LinkedIn Data) to OpenAI Agents SDK through Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Proxycurl (LinkedIn Data) + OpenAI Agents SDK FAQ
Common questions about integrating Proxycurl (LinkedIn Data) MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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