Captain Data MCP. Turn market research into conversation.
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 MCP Server. Extract firmographic and profile data for people and companies using natural language. Find specific professionals by name or job title, enrich profiles with contact history, or research companies by domain.
It connects your AI agent to web data sources for market intelligence and lead generation.
What your AI agents can do
Enrich company
Gets deep firmographic data for a specific company.
Enrich person
Gets detailed profile data for a person using a UID or LinkedIn URL.
Find company
Locates a company using its name or domain.
Find professionals based on names, job titles, or company names using the find_people tool.
Retrieve detailed career and contact data for a person using their UID or LinkedIn URL with enrich_person.
Locate companies by name or domain using the find_company tool.
Search for companies by criteria like industry, size, or location using search_companies.
Pull deep firmographic data for any company using the enrich_company tool.
Monitor past and current data extraction jobs, listing workflows and checking quotas using list_automation_jobs, list_workflows, and get_api_quotas.
Ask AI about this MCP
Supported MCP Clients
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Captain Data MCP Server: 11 Tools for Data Enrichment
These tools let your AI agent find, search, and gather deep data on people and companies from web sources.
019d7569enrich company
Gets deep firmographic data for a specific company.
019d7569enrich person
Gets detailed profile data for a person using a UID or LinkedIn URL.
019d7569find company
Locates a company using its name or domain.
019d7569find people
Finds a specific person based on their full name and an optional company name.
019d7569get account info
Retrieves core account information for usage tracking.
019d7569get api quotas
Checks your current API quotas and usage limits.
019d7569get job details
Shows the status and extracted data for a specific job run.
019d7569list automation jobs
Lists all historical and active data extraction jobs.
019d7569list workflows
Lists all configured data extraction workflows.
019d7569search companies
Searches for companies by filtering criteria like industry, size, or location.
019d7569search people
Searches for people based on criteria like job title or location.
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 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ 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
What you can do with this MCP connector
You're hooking up your AI agent to Captain Data. This lets your agent do market research and build leads using real web data, all through natural conversation. You'll use the tools to find people and companies, and you'll use them to gather deep data on both. You can find professionals with find_people by their full name and an optional company name.
You can also find people by job title or location using search_people. To dig into a person's history, use enrich_person with their UID or a LinkedIn URL. You'll find a company using find_company by its name or domain. You can search for companies using search_companies by filtering criteria like industry, size, or location.
To get the deep details on a company, use enrich_company. You can check your API quotas and usage limits with get_api_quotas. You'll list all historical and active data extraction jobs with list_automation_jobs and see all configured data extraction workflows using list_workflows. You'll check the status and extracted data for a specific job run using get_job_details.
You can also get core account information for usage tracking with get_account_info.
How Captain Data MCP Works
- 1 Subscribe to the Captain Data server and provide your unique API Key.
- 2 Ask your AI client to perform a task (e.g., 'Find all software companies in California').
- 3 The agent invokes the appropriate tool (like
search_companies), processes the output, and returns the structured data to you.
The bottom line is, you talk to your agent, and it talks to Captain Data to get the structured data you need.
Who Is Captain Data MCP For?
Sales Development Reps who need to build lead lists fast. Growth Marketers running competitor analysis. Data Analysts needing structured intelligence on companies and people. If your job involves finding out who works where, this is for you.
Find and enrich lead data for outreach campaigns without leaving the chat window or manual scraping.
Automate market research and competitor analysis by searching for industry trends and associated companies.
Gather structured data on company finances, employee roles, and industry metrics using natural language queries.
What Changes When You Connect
- Find leads instantly. Instead of manual searching, the agent runs
find_peopleandsearch_peopleto identify professionals and companies by name, title, or location. You get a list of candidates, not just search results. - Build deep profiles on demand. Use
enrich_personto take a LinkedIn URL or UID and pull detailed data—career history, contact info—in a single step. It bypasses manual profile digging. - Research competitors faster. You can use
search_companiesand thenenrich_companyto pull deep firmographic data on a competitor, all without leaving your workflow. - Manage data pipelines easily. Use
list_workflowsandlist_automation_jobsto see what data is running, monitor job status, and check your quota viaget_api_quotas. No more guessing if the scrape finished. - Zero-friction data access. The agent handles the messy calls. You just ask, 'What's the tech stack at Acme Corp?' and the server uses
find_companyandenrich_companyto answer. - Saves time on initial discovery. If you just need a starting list,
find_peoplelets you search by name and company, giving you the initial set of UIDs for later enrichment.
Real-World Use Cases
Finding a Target VP of Sales
An SDR needs to find a VP of Sales at a specific tech company. They ask the agent to run find_people with the title and company. The agent returns a list of UIDs, which the SDR then passes to enrich_person to get the necessary email and phone details for the outreach campaign.
Analyzing a New Vertical Market
A Growth Marketer wants to assess the viability of the 'FinTech' sector in 'Austin'. They ask the agent to run search_companies first. Once the list of companies is returned, they follow up by asking the agent to run enrich_company on the top 3 results to gather firmographic data and assess the market depth.
Verifying a Client's Existence
A Data Analyst is handed a domain name. They ask the agent to run find_company on the domain. If the company exists, they then use enrich_company to gather key metrics like employee count or industry classification, confirming the client's legitimacy.
Monitoring a Large Campaign
The team runs a massive data extraction job. Instead of logging into a separate dashboard, the project manager asks the agent to run list_automation_jobs to see the status. They can then use get_job_details to retrieve specific data points from the finished job run.
The Tradeoffs
Manual Dashboard Scraping
Logging into Captain Data's web dashboard, navigating through tabs, filtering results, and copy-pasting lists of UIDs or company names into a spreadsheet. This takes minutes and often fails due to UI changes.
→
Tell your agent to run search_companies with the criteria, and then pass the resulting list of domains to enrich_company. The entire process stays in the chat, eliminating manual copy/paste steps.
Sequential, Blind Lookups
Calling find_people to get a name, then manually taking that name and running a separate search, then running another tool just because the first one failed. This is inefficient and breaks the conversational flow.
→
Keep the conversation going. Use the agent to chain the calls. For instance, 'Find people in FinTech, and for the top 5, run enrich_person.' The agent handles the sequence and data flow.
Ignoring Quotas
Running a huge, unmanaged search (e.g., 500 calls to search_people) without checking limits, resulting in an immediate API quota error and halting all work.
→
Always check usage first. Start by calling get_api_quotas at the beginning of your session. This ensures your agent knows the usage limits before you run into errors.
When It Fits, When It Doesn't
Use this if your primary bottleneck is finding and structuring external market intelligence. You need to take unstructured inputs (a name, a domain, a job title) and get back structured, deep data (firmographics, contact info). The key is that you are automating the 'read' part of your workflow.
Don't use this if you are just verifying a simple piece of information already in your internal database. For that, a simple database lookup is faster. Also, don't use it if you need real-time, moment-to-moment data streams (like stock tickers). For those, you need a specialized streaming service. Captain Data excels at deep, structured, point-in-time web data retrieval.
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.
Available Capabilities
Finding a lead's profile shouldn't take 15 minutes of web browsing.
Today, finding a target professional means opening LinkedIn, searching by company, then filtering by job title. You click through dozens of profiles, manually copying UIDs and domain names. You spend time on the platform, not on your strategy.
With the Captain Data MCP Server, you just ask your agent, 'Find me the Head of Product at Google.' The server runs `find_people`, and instantly returns the professional's profile data, ready for your next step.
Captain Data MCP Server: Enriching Company & Person Data
Manually pulling deep company metrics (like employee count or industry classification) requires visiting the company's website or a specialized database. You have to cross-reference that data point by data point.
Now, you ask the agent to `enrich_company` on a domain. It executes the lookup and gives you a complete, structured data packet—metrics, history, everything—in seconds. You don't lift a finger.
Common Questions About Captain Data MCP
How do I use Captain Data MCP Server to find people? +
You use the find_people tool. You give the agent a full name and optionally a company name, and it finds the professional's ID. You can then use enrich_person to get more details.
Can I search for companies by industry using Captain Data MCP Server? +
Yes. Use the search_companies tool. You provide criteria like 'Software' or 'Finance' and the server returns a list of matching companies.
What is the difference between `find_company` and `search_companies` in Captain Data MCP Server? +
find_company locates a company if you know its name or domain. search_companies is for broader exploration; you give it industry or size, and it returns a list of potential matches.
How do I check my API usage with Captain Data MCP Server? +
Run the get_api_quotas tool. This tells you your current usage and remaining quota, so you don't hit a limit mid-campaign.
Do I need to use Captain Data MCP Server for all data retrieval? +
No. Use this only when the data lives on the web and you need structured extraction. If the data is in a spreadsheet or your internal CRM, use your existing tools.
How do I handle rate limits when using `get_api_quotas` in Captain Data MCP Server? +
The get_api_quotas tool provides real-time usage metrics, letting you know when you're nearing your limits. You should build logic into your agent to pause operations when usage exceeds 80% of your allocated quota.
What data can I get from `enrich_person` compared to `enrich_company` in Captain Data MCP Server? +
enrich_person retrieves detailed professional profiles, including career history and contact info for an individual. enrich_company focuses on deep firmographic data about an organization, like size and industry.
How do I list and monitor ongoing data jobs using `list_automation_jobs` in Captain Data MCP Server? +
The list_automation_jobs tool gives you a full overview of all scheduled and past jobs. You can then use get_job_details to check the specific status and see the extracted data for any single job ID.
Can I enrich a professional profile using a LinkedIn URL? +
Yes! Use the enrich_person tool and provide the li_profile_url. Your agent will trigger the enrichment in Captain Data and return the detailed profile data.
How do I check my remaining API credits? +
Simply ask the agent to get_api_quotas. It will retrieve your current usage and remaining quotas for different types of operations from your Captain Data account.
Does the integration allow finding companies by their domain name? +
Yes. Use the find_company tool and provide the domain (e.g., 'google.com'). It will retrieve the basic company identifiers and metadata from the Captain Data database.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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