Bring Linkedin Data
to Pydantic AI
Learn how to connect Proxycurl (LinkedIn Data) to Pydantic AI and start using 18 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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.
How it works
- Subscribe to this server
- Enter your Proxycurl API Key
- Start querying B2B data from Claude, Cursor, or any MCP client
Who is this for?
- Sales & RevOps — Automate lead enrichment and find decision-makers without manual searching.
- Recruiters — Identify talent pools and enrich candidate profiles instantly.
- Market Researchers — Map out competitive landscapes and track company growth metrics.
Built-in capabilities (18)
Add a target to an existing monitor feed
Detect temporary or throwaway email addresses
Resolve a company name to its canonical website URL
Create a new monitor feed for company changes
Retrieve comprehensive company metadata and leadership teams
Retrieve the estimated headcount range for a company
It may take up to 5 minutes. Retrieve full funding history, rounds, and participating investors
Retrieve a 128x128 PNG logo URL for any company
Aggregate blog posts and X/Twitter updates into a mixed timeline
Find competitors and the reasoning (keyword overlap or product similarity)
Check your remaining API credit balance
Get a list of probable customers, investors, and partner platforms
Enrich professional profiles from work emails or name/employer combinations
Get the RSS feed for a specific monitor feed
Repeat queries are served free from cache. Find counterparts in similar roles at competing companies
List all active monitor feeds
Best-effort lookup of a public work email from a name and domain
Find current employees of a company by role and geography
Why Pydantic AI?
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.
- —
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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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
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Dependency injection system cleanly separates your Proxycurl (LinkedIn Data) connection logic from agent behavior for testable, maintainable code
Proxycurl (LinkedIn Data) in Pydantic AI
Proxycurl (LinkedIn Data) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Proxycurl (LinkedIn Data) to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Proxycurl (LinkedIn Data) in Pydantic AI
The Proxycurl (LinkedIn Data) 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. All 18 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Proxycurl (LinkedIn Data) for Pydantic AI
Every tool call from Pydantic AI to the Proxycurl (LinkedIn Data) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find a company's official website if I only have their name?
Use the company_website_lookup tool. It resolves a company name to its canonical URL, which is the primary identifier needed for most other company-related tools.
Can I see who invested in a specific startup?
Yes. The get_company_funding tool provides a detailed history of funding rounds, including the amounts raised and the names of participating investors.
Is it possible to get professional details from just a work email?
Absolutely. Use the get_employee_profile tool with the work_email parameter to retrieve enriched professional data, including current role and employer information.
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.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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