Proxycurl (LinkedIn Data) MCP Server for AutoGenGive AutoGen instant access to 18 tools to Add Monitor Target, Check Disposable Email, Company Website Lookup, and more
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Proxycurl (LinkedIn Data) as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
Ask AI about this MCP Server for AutoGen
The Proxycurl (LinkedIn Data) MCP Server for AutoGen 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
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="proxycurl_linkedin_data_agent",
tools=tools,
system_message=(
"You help users with Proxycurl (LinkedIn Data). "
"18 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Proxycurl (LinkedIn Data) tools. Connect 18 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen
When AutoGen 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 AutoGen via MCP
Follow these steps to wire Proxycurl (LinkedIn Data) into AutoGen. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install AutoGen
pip install "autogen-ext[mcp]"Replace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenIntegrate into workflow
Explore tools
Why Use AutoGen with the Proxycurl (LinkedIn Data) MCP Server
AutoGen provides unique advantages when paired with Proxycurl (LinkedIn Data) through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Proxycurl (LinkedIn Data) tools to solve complex tasks
Role-based architecture lets you assign Proxycurl (LinkedIn Data) tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Proxycurl (LinkedIn Data) tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Proxycurl (LinkedIn Data) tool responses in an isolated environment
Proxycurl (LinkedIn Data) + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Proxycurl (LinkedIn Data) MCP Server delivers measurable value.
Collaborative analysis: one agent queries Proxycurl (LinkedIn Data) while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Proxycurl (LinkedIn Data), a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Proxycurl (LinkedIn Data) data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Proxycurl (LinkedIn Data) responses in a sandboxed execution environment
Example Prompts for Proxycurl (LinkedIn Data) in AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Proxycurl (LinkedIn Data) to AutoGen through Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Proxycurl (LinkedIn Data) + AutoGen FAQ
Common questions about integrating Proxycurl (LinkedIn Data) MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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