Captain Data MCP. Find and structure deep web intelligence into your workflow.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Captain Data finds and enriches specific people and company profiles from web sources, feeding that structured intelligence directly into your agent's conversation.
Use this MCP to run market research or build lead lists without manual scraping or dashboard work.
What your AI agents can do
Enrich company
Gets detailed business metrics for any company you provide.
Enrich person
Retrieves a person's full profile details using their LinkedIn URL or unique ID.
Find company
Locates a company when you know its name or domain name.
Find specific individuals using full names or job titles within a company.
Gather detailed professional data, including career history and contact information, for any person via their UID or URL.
Pull deep firmographic metrics on a business using its name or domain.
Identify multiple businesses based on criteria like their sector, location, or employee count.
Keep track of your ongoing extraction workflows and manage API usage limits in real time.
Ask AI about this MCP
Supported MCP Clients
OAuth 2.0 Compatible Gemini Waiting for input…
Captain Data: 11 Tools for Intelligence Gathering
These tools allow your agent to perform everything from broad market searches to deep profile enrichment, managing the entire data retrieval lifecycle.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Captain Data on Vinkius019d7569enrich company
Gets detailed business metrics for any company you provide.
019d7569enrich person
Retrieves a person's full profile details using their LinkedIn URL or unique ID.
019d7569find company
Locates a company when you know its name or domain name.
019d7569find people
Finds specific individuals using their full names, optionally narrowing the search by company name.
019d7569get account info
Retrieves general details about your current MCP account setup.
019d7569get api quotas
Shows you the current limits and usage stats for your API access.
019d7569get job details
Checks the status or pulls the final data from a previous extraction job run.
019d7569list automation jobs
Lists all your configured automated data gathering workflows.
019d7569list workflows
Displays the list of available, saved automation templates you can run.
019d7569search companies
Finds businesses by filtering criteria like industry type, location, or company size.
019d7569search people
Searches for people based on job titles, locations, or other professional criteria.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Captain Data, then connect any of our 4,800+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,800+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Captain Data. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 11 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
The Old Way: Manual Data Collection
Today, gathering market intelligence means toggling between five different tabs. You find a name on LinkedIn, copy the URL; you open a separate site to find company financials, and then you manually cross-reference the data points in a spreadsheet. It's slow, it's error-prone, and you spend more time managing tabs than analyzing actual leads.
With this MCP, your agent handles all that clicking for you. You ask one question—like 'Give me everything on Acme Corp'—and you get structured data back. Your workflow doesn't break because the process is managed by Vinkius, ensuring every call runs in a secure sandbox.
Deep Company and Person Profiles
You no longer need to visit multiple external sites or fill out complex forms. The MCP executes the searches for you, whether it’s using `search_people` to find a cohort of potential hires or running `enrich_company` on an unknown domain.
The data comes back clean and ready to use in your workflow. You get structured intelligence instantly, without having to worry about how the underlying web scraping actually happened.
What you can do with this MCP connector
Need deep insights on a competitor or a high-value prospect? This MCP lets you orchestrate complex data gathering using natural language prompts. You don’t need to know API endpoints; you just ask your agent, and it handles the process of finding profiles, researching firms, and compiling everything into clean data points.
Want to find specific professionals in a niche industry? Your agent uses this MCP to locate people by name or job title and then retrieve detailed career histories and contact info. Need full company context? You can search for businesses by industry or domain, getting deep firmographic details like employee size and revenue estimates.
The real power here is the automation loop. If you're running a multi-step workflow that needs to move data—say, taking leads found via this MCP and sending them through an email messaging service—you can chain those steps together using Vinkius. This ensures your credentials pass through a zero-trust proxy, meaning your keys are used only in transit but never stored on disk.
It keeps the whole process secure while giving you massive data reach.
019d7569-649a-7065-a8f8-69172469ebd5 
How Captain Data MCP Works
- 1 First, connect the MCP to your account using your private API Key.
- 2 Next, prompt your AI agent with a question. For example: 'Find me all SaaS companies in California with 50-100 employees.'
- 3 The MCP executes the necessary search and enrichment tools, returning structured data directly into your conversation.
The bottom line is you get clean, actionable business intelligence without leaving your agent's chat window.
Who Is Captain Data MCP For?
The BDR who’s tired of clicking through endless tabs just to build a single list. The growth marketer who needs competitor data instantly. Any analyst whose job depends on accurate, real-time external business intelligence.
You use this MCP to quickly find and enrich prospect data for a specific company or person without manually scraping LinkedIn.
You run automated market research jobs, searching across multiple industries using search_companies to track competitor moves.
You need structured intelligence on companies and professionals. You gather data points from a domain or name, then access the results later using job tracking tools.
What Changes When You Connect
- Stop manually copying data from messy sources. You can use
enrich_personto pull detailed professional histories directly for a single person, saving hours of manual research time. - Automate market sizing and competitive analysis by running broad searches using tools like
search_companies. This gives you structured lists that feed straight into your CRM pipeline. - Never worry about hitting rate limits. You can use
get_api_quotasto monitor usage in real-time, keeping your operations predictable as your lead volume grows. - When running complex sequences of tasks (like searching and then enriching), the security is handled by Vinkius's zero-trust proxy, ensuring your API keys are never exposed or stored locally. You only use them when needed for the call.
- Need to revisit old data? Use
get_job_detailsto check the status or retrieve specific extracted results from any previous automation job run.
Real-World Use Cases
Building a target list of VCs
Instead of manually searching LinkedIn, your agent uses search_companies to find all VC firms in New York. It then runs enrich_company on the top 10 results, providing you with deep firmographic data points for every single one.
Vetting a competitor's key hires
A teammate asks your agent to find people who recently moved roles at a rival company. The agent uses find_people and then runs enrich_person on the resulting UIDs, giving you insight into their career trajectory.
Auditing workflow success
After running an entire batch of 50 lead enrichment jobs overnight, you use list_automation_jobs and then get_job_details to confirm which leads succeeded and which ones failed.
The Tradeoffs
Treating it like a simple search engine
Prompt: 'Tell me about Microsoft.' (This only gets basic info.)
→
You need more depth. Use find_company first to nail down the official name, and then call enrich_company on that result to get firmographic details.
Forgetting quota limits
Running dozens of jobs without checking usage, resulting in a hard API failure.
→
Always check your plan status first. Start by calling get_api_quotas to know exactly how many calls you have left before starting any large batch.
Ignoring job results
Running a complex job and then just thinking the data appeared magically.
→
The result isn't instant. Use list_automation_jobs to see your queue, wait for 'COMPLETE,' and then use get_job_details to pull the structured output.
When It Fits, When It Doesn't
Use this MCP if your goal is data acquisition: you need to find unknown contacts or research companies that don't already have data in your internal systems. It excels when you need to combine broad search (like search_people) with deep validation (enrich_person). Don't use it if all the information you need is already visible on a single, simple webpage; just copy/pasting works fine. Also, if you only need to look up one contact who exists in your CRM, stick to that internal tool instead of running a full find_people search.
Common Questions About Captain Data MCP
How do I find a specific person using find_people? +
You provide the full name and optionally the company. If you know their LinkedIn URL or unique ID, it's faster to use enrich_person with that identifier instead.
Can I track my usage when running multiple jobs with Captain Data? +
Yes. You can check your current usage and remaining limits anytime by calling the get_api_quotas tool to keep your operations on budget.
Does enrich_company give me financial data for any company? +
It retrieves deep firmographic data. While it covers metrics like employee size and industry, specific real-time financials depend on the source data available via the tool call.
If I run an automation workflow, how do I see the results? +
First, check list_automation_jobs to confirm it finished. Then use get_job_details to retrieve the structured data output from that specific job ID.
What happens to my API key after I call `enrich_person`? +
Your keys are never stored on disk. Credentials pass through a zero-trust proxy, meaning they're only used while transmitting data and aren't saved anywhere.
Before running large campaigns, how do I check my rate limits using `get_api_quotas`? +
You retrieve current quota and usage statistics instantly. This lets you plan your operations and ensure your AI agent doesn't hit hard spending limits.
When I use `search_companies`, what filters do I need to provide for accurate results? +
You should specify industry, size, or location criteria. Providing these details narrows the search field and keeps your data highly relevant.
If an automated job fails, how can I troubleshoot it by calling `list_workflows`? +
The tool shows all configured workflows so you can pinpoint the failing process. This lets you review the setup and fix the automation logic directly.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.