Proxycurl (LinkedIn Data) MCP Server for Pydantic AIGive Pydantic AI instant access to 18 tools to Add Monitor Target, Check Disposable Email, Company Website Lookup, and more

Name: Proxycurl (LinkedIn Data)
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Proxycurl (LinkedIn Data) through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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The Proxycurl (LinkedIn Data) MCP Server for Pydantic AI is a standout in the Sales Automation category — giving your AI agent 18 tools to work with, ready to go from day one.

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python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Proxycurl (LinkedIn Data) "
            "(18 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Proxycurl (LinkedIn Data)?"
    )
    print(result.data)

asyncio.run(main())

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* 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.

Pydantic AI validates every Proxycurl (LinkedIn Data) tool response against typed schemas, catching data inconsistencies at build time. Connect 18 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Company Intelligence — Resolve company names to websites, fetch logos, and retrieve deep metadata including industry and leadership using company_website_lookup and get_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 using search_employees.
Market Analysis — Identify competitors based on product similarity with get_competitor_listing and 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 Pydantic AI 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 Pydantic AI

When Pydantic AI 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

Add monitor target on Proxycurl (LinkedIn Data)

Add a target to an existing monitor feed

check

Check disposable email on Proxycurl (LinkedIn Data)

Detect temporary or throwaway email addresses

company

Company website lookup on Proxycurl (LinkedIn Data)

Resolve a company name to its canonical website URL

create

Create monitor feed on Proxycurl (LinkedIn Data)

Create a new monitor feed for company changes

get

Get company details on Proxycurl (LinkedIn Data)

Retrieve comprehensive company metadata and leadership teams

get

Get company employee count on Proxycurl (LinkedIn Data)

Retrieve the estimated headcount range for a company

get

Get company funding on Proxycurl (LinkedIn Data)

It may take up to 5 minutes. Retrieve full funding history, rounds, and participating investors

get

Get company logo on Proxycurl (LinkedIn Data)

Retrieve a 128x128 PNG logo URL for any company

get

Get company updates on Proxycurl (LinkedIn Data)

Aggregate blog posts and X/Twitter updates into a mixed timeline

get

Get competitor listing on Proxycurl (LinkedIn Data)

Find competitors and the reasoning (keyword overlap or product similarity)

get

Get credit balance on Proxycurl (LinkedIn Data)

Check your remaining API credit balance

get

Get customer listing on Proxycurl (LinkedIn Data)

Get a list of probable customers, investors, and partner platforms

get

Get employee profile on Proxycurl (LinkedIn Data)

Enrich professional profiles from work emails or name/employer combinations

get

Get monitor rss on Proxycurl (LinkedIn Data)

Get the RSS feed for a specific monitor feed

get

Get similar employees on Proxycurl (LinkedIn Data)

Repeat queries are served free from cache. Find counterparts in similar roles at competing companies

list

List monitor feeds on Proxycurl (LinkedIn Data)

List all active monitor feeds

lookup

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 Pydantic AI via MCP

Follow these steps to wire Proxycurl (LinkedIn Data) into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 18 tools from Proxycurl (LinkedIn Data) with type-safe schemas

Why Use Pydantic AI with the Proxycurl (LinkedIn Data) MCP Server

Pydantic AI provides unique advantages when paired with Proxycurl (LinkedIn Data) through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Proxycurl (LinkedIn Data) integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Proxycurl (LinkedIn Data) connection logic from agent behavior for testable, maintainable code

Proxycurl (LinkedIn Data) + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Proxycurl (LinkedIn Data) MCP Server delivers measurable value.

Type-safe data pipelines: query Proxycurl (LinkedIn Data) with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Proxycurl (LinkedIn Data) tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Proxycurl (LinkedIn Data) and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Proxycurl (LinkedIn Data) responses and write comprehensive agent tests

Example Prompts for Proxycurl (LinkedIn Data) in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting Proxycurl (LinkedIn Data) to Pydantic AI through Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Proxycurl (LinkedIn Data) + Pydantic AI FAQ

Common questions about integrating Proxycurl (LinkedIn Data) MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Proxycurl (LinkedIn Data) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.