Jaicob MCP for AI. Manage Candidate Data in Conversation
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Connect to your AI in seconds.
Jaicob uses AI to manage the entire candidate lifecycle for your organization. It lets agents interact with job vacancies, client data, and candidate profiles in natural conversation.
You can generate new candidate records, review active applications, or list all current clients using just a prompt.
What your AI can do
Create candidate
Generates a brand new profile record for an individual job applicant.
List applications
Retrieves a list of all submitted job applications from the system.
List candidates
Pulls a comprehensive, up-to-date roster of every candidate in the system.
The system lets you generate new profiles or list existing candidates and clients.
You can pull lists of current job vacancies, leads, and submitted applications.
The agent analyzes text for sentiment, key topics, or specific data points that need extraction.
Ask an AI about this
Waiting for input…
Jaicob: 6 Tools for Talent Acquisition
These tools allow you to perform every critical function in the talent lifecycle, from listing job openings to generating new candidate records.
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 Jaicob on VinkiusCreate Candidate
Generates a brand new profile record for an individual job applicant.
List Applications
Retrieves a list of all submitted job applications from the system.
List Candidates
Pulls a comprehensive, up-to-date roster of every candidate in the system.
List Clients
Shows all client organizations that your company currently works with.
List Recruitment Leads
Provides a focused list of potential leads identified through recruitment efforts.
List Vacancies
Lists all active job positions that are currently open and hiring.
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
Claude AI
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
Add Custom Connector
Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp
Replace [YOUR_TOKEN_HERE] with your token
from cloud.vinkius.com. For OAuth-protected servers, expand
Advanced settings to add credentials.
Start a conversation
Open a new chat. The Jaicob integration is available immediately — no restart needed.
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 Jaicob, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,100+ 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 Jaicob. 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 connection provides 6 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
The Day-to-Day Data Chase
Right now, running recruiting means hopping between platforms. You open the CRM to check client details; you switch to an ATS to see who applied for what role; then you open a spreadsheet just to track follow-up dates. It’s constant copy-pasting and context switching.
With this MCP, your agent handles the choreography. You tell it the goal—'Find me all candidates for our top three vacancies.' The agent runs queries across multiple sources and gives you one cohesive answer. It just works.
Jaicob: Structured Data Management
Manual processes mean that if a candidate's details change, or if a job is filled, someone has to manually update the record in several places. This leads to data discrepancies and missed follow-ups.
This MCP ensures your core records are always current. When you use `create_candidate` or run through the full cycle of listing applications and checking active vacancies, the system maintains integrity across all stages.
What your AI can actually do with this
This MCP connects your agent directly into your recruiting systems. Instead of manually jumping between spreadsheets to check who applied for what role, you talk to the system. Your agent reads through internal documentation and client details while answering user questions. You can generate new content based on existing data, analyze text sentiment from feedback, or condense large reports into actionable summaries.
This capability is available via Vinkius, connecting your preferred AI client (Claude, Cursor, Windsurf, VS Code) to the full catalog of specialized MCPs. It handles everything from generating job descriptions to extracting key insights from candidate responses. You just ask for it.
019dd10e-22e0-70e5-9781-a3209352102d 
Here's how it actually works
The bottom line is: you tell the system what data you need, and it executes the necessary queries and actions automatically.
First, subscribe to this MCP and provide your Jaicob API Key.
Next, connect your AI client through Vinkius.
Finally, you prompt the agent to perform a specific recruiting action, like listing all active vacancies or generating a new candidate profile.
Who is this actually for?
This tool solves workflow bottlenecks for Recruiting Coordinators and Talent Acquisition Managers. If you spend your day copying data between CRMs or struggling to keep track of lead status across multiple sheets, this is for you.
You use the agent to list job applications and pull current candidate lists quickly so you can update status reports without manual data gathering.
You utilize the MCP to check client organizational details or review general recruitment leads to plan upcoming hiring campaigns.
You run analyses on candidate data, summarizing large documents or extracting specific metrics from unstructured feedback.
What Changes When You Connect
You stop juggling multiple tabs. Instead of manually checking the status of every job application, you simply ask your agent to list all applications and get a consolidated view.
New candidate profiles are created instantly when needed using create_candidate, keeping your data accurate without manual form filling.
The MCP keeps track of who needs attention. You can review general recruitment leads or check the status of active vacancies, ensuring nothing falls through the cracks.
Need context? By calling list_clients and running sentiment analysis on candidate responses, you get immediate insights into client satisfaction levels.
You eliminate spreadsheet drift. Instead of copying data to summarize documents, your agent can condense long reports or extract specific metrics from raw text.
See it in action
Onboarding a New Client
The TA Manager needs context on the client's history. They prompt the agent to list clients, review their current vacancies, and then check general recruitment leads associated with that account.
Reviewing Hiring Funnel Status
A recruiter asks for a status report. The agent pulls all job applications, lists the candidates who submitted them, and cross-references which clients are involved.
Identifying High-Potential Leads
The team wants to focus on warm leads. They ask the MCP to list recruitment leads, analyze their associated documents for positive sentiment, and suggest next steps.
The honest tradeoffs
Treating it like a simple database view
A user thinks they just need to see the candidates list. They try to copy data from list_candidates into a spreadsheet and manually update statuses.
Don't just read the static list. Use the agent to perform an action, such as checking if any existing candidate needs a profile updated using create_candidate or pulling all related applications via list_applications.
Skipping context gathering
The agent provides data about a job opening (list_vacancies), but the user has no idea which client that belongs to, leaving the conversation vague.
Always start by checking list_clients first. This anchors the entire workflow and ensures all subsequent actions are linked back to an identifiable source.
Manual data entry after a meeting
After talking to a prospect, the user has to open Jaicob and manually populate a new record for them.
Use the create_candidate tool immediately. The agent handles the structure and required fields in real time.
When It Fits, When It Doesn't
Use this MCP if your primary bottleneck is moving data between systems or struggling to keep track of status changes across multiple spreadsheets. It's ideal for workflow management: checking leads, viewing vacancies, and updating records. However, don't use it if you only need a static report; simply pulling list_candidates provides the view, but using the AI agent allows you to process that data (e.g., summarizing documents) or initiate an action (like creating a new record). If your goal is just document storage and retrieval without workflow integration, look at a pure knowledge base solution instead.
Questions you might have
How do I check who applied for a job using list_applications? +
The agent gathers all submitted jobs by calling list_applications. This gives you an immediate, comprehensive view of the application status without needing to filter manual spreadsheets.
Can Jaicob MCP help me find new hiring targets? (using list_recruitment_leads) +
Yes. By calling list_recruitment_leads, your agent pulls together all potential leads, allowing you to prioritize which prospects need attention first.
What is the difference between listing clients and listing candidates? (using list_clients vs list_candidates) +
The key distinction is the entity type. list_clients shows organizations you work with, while list_candidates displays individual people in your talent pool.
I need to add a new person to our records; do I use create_candidate? +
Yes, that's the correct function. Using create_candidate lets you build a structured profile for someone immediately, ensuring all necessary data points are captured right away.
When I run `list_vacancies`, how do I filter results by location or job type? +
The function accepts dedicated filters. You can narrow down the search using parameters like 'location' (e.g., "New York") or 'job_type' (e.g., "Engineer"). This lets you target specific openings immediately.
Using `list_clients`, what key organizational details does the MCP retrieve for each client? +
It retrieves core profile information, including the company name, primary contact person, and industry sector. You get immediate context on the organization without needing to visit an external site.
If I run `list_candidates`, how do I handle pagination if there are hundreds of records? +
The MCP supports standard pagination parameters. Just specify the desired page number and limit when calling the tool. This lets you process all candidate profiles in manageable batches.
When I use `list_applications`, can I filter the results by application status? +
Yes, you pass a 'status' parameter to refine your search. This is useful for isolating applications that are currently pending review or those that have been withdrawn.
Can I generate and analyze content through the AI agent? +
Yes. Use the generation tools with prompts and parameters. Use analysis tools to extract sentiment, topics, and key insights from any text.
How does Jaicob API authentication work? +
Jaicob uses a custom x-api-key header (not Bearer) for all requests to api.jaicob.ai/v1. Your API key is generated from the Jaicob dashboard.
Can I translate content between languages? +
Yes. The translation tools support multiple languages. Provide source text and target language for accurate translations.
We've already built the connector for Jaicob. Just plug in your AI agents and start using Vinkius.
No hosting. No infrastructure. No complex setup.
All 6 tools are live and waiting.
You're up and running in seconds.
Gemini Vinkius gives your AI agents access to the full catalog of app connectors, all fully managed, secure, and enterprise-ready. One subscription, every tool you need.
Built, hosted, and secured by Vinkius. You just connect and go.