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Fountain MCP. Manage applicants, jobs, and goals from chat.

Claude Claude
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Gemini Gemini
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See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

Fountain MCP on Cursor AI Code Editor MCP Client Fountain MCP on Claude Desktop App MCP Integration Fountain MCP on OpenAI Agents SDK MCP Compatible Fountain MCP on Visual Studio Code MCP Extension Client Fountain MCP on GitHub Copilot AI Agent MCP Integration Fountain MCP on Google Gemini AI MCP Integration Fountain MCP on Lovable AI Development MCP Client Fountain MCP on Mistral AI Agents MCP Compatible Fountain MCP on Amazon AWS Bedrock MCP Support

Just plug in your AI agents and start using Vinkius.

Fountain MCP Server automates high-volume hiring and manages the full applicant lifecycle. Connect your AI agent to track candidates, manage job openings, and monitor hiring goals.

You can list job applicants, check funnel stages, and fetch detailed profiles for every worker and candidate.

What your AI agents can do

Get account details

Gets high-level organizational attributes for the Fountain account.

Get applicant

Fetches the complete profile and details for a specific job applicant.

Get opening details

Retrieves detailed metadata for a specific job opening.

+ 9 more capabilities included
Get Organization Info

Retrieves high-level attributes about the entire organization's setup.

Fetch Applicant Details

Gets a full profile of a specific job applicant.

Get Job Opening Metadata

Retrieves specific details about an active job opening.

View Applicant Notes

Retrieves the discussion history or notes associated with an applicant.

List Job Applicants

Retrieves a list of all job applicants in the system.

List Funnel Stages

Retrieves the stages within a specific hiring funnel.

List Funnels

Retrieves a list of all defined hiring funnels.

Track Hiring Goals

Retrieves metrics and status for defined hiring targets.

List Interviews

Retrieves a list of scheduled interview sessions.

List Job Posts

Retrieves published job posts across various channels.

List Openings

Retrieves a list of all currently active job openings.

List Workers

Retrieves records of individuals who have successfully completed the hiring process.

Supported MCP Clients

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients
Free for Subscribers

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AI Agent

Fountain MCP Server: 12 Tools for Hiring & HR

These tools let your AI agent manage everything from listing applicants and tracking funnels to getting detailed worker profiles and job opening metadata.

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get account details

Gets high-level organizational attributes for the Fountain account.

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get applicant

Fetches the complete profile and details for a specific job applicant.

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get opening details

Retrieves detailed metadata for a specific job opening.

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list applicant notes

Gets all discussion notes and communication history tied to a specific applicant.

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list applicants

Lists all job applicants in the system, allowing you to search by criteria.

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list funnel stages

Lists all distinct stages within a given hiring funnel.

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list funnels

Retrieves a list of all defined hiring funnels.

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list hiring goals

Lists and tracks progress against specific hiring targets and goals.

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list interview sessions

Lists all scheduled interview sessions across your organization.

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list job posts

Retrieves a list of job posts that have been published to external channels.

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list openings

Lists all active job openings that are currently accepting applications.

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list workers

Lists all individuals who have been successfully hired and onboarded.

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
Start building

Make Your AI Do More

Start with Fountain, 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 connect your AI agent to Fountain via the Model Context Protocol (MCP). This server lets your agent manage your whole hiring process, from finding applicants to onboarding workers. It'll let your agent track candidates, manage job postings, and monitor your hiring goals right from your chat window.

get_account_details gives your agent high-level info about your whole organization's setup. list_job_posts shows a rundown of every job post published to outside channels. list_openings lists all job openings that are currently accepting applications. get_opening_details fetches specific metadata for any active job opening. list_workers retrieves records for people who've successfully finished hiring and got onboarded. list_applicants lets your agent list all job applicants in the system, and you can search by any criteria. get_applicant fetches a complete profile and all the details for a specific job applicant. list_applicant_notes gets all the discussion notes and communication history tied to a specific applicant. list_funnels pulls a list of every defined hiring funnel. list_funnel_stages lists all the distinct stages inside a given hiring funnel. list_hiring_goals lets your agent list and track your progress against specific hiring targets and goals. list_interview_sessions lists all scheduled interview sessions across your company.

How Fountain MCP Works

  1. 1 Subscribe to the server on Vinkius Marketplace and enter your Fountain API Token (found in Company Settings > Developer Settings).
  2. 2 Direct your AI agent to access the Fountain MCP tools.
  3. 3 Ask the agent to perform a task, like 'Show me all applicants in the 'Delivery' funnel.' The agent then calls the necessary tools and presents the structured data.

The bottom line is, your AI agent talks to Fountain directly, letting you manage the entire hiring pipeline without leaving your chat window.

Who Is Fountain MCP For?

This is for HR Operations Managers and Talent Acquisition Specialists who are tired of jumping between dozens of tabs to track a single candidate's status. If your hiring process involves multiple stages, sourcing from different channels, and managing targets, this saves hours of manual dashboard checking.

Talent Acquisition Specialist

Uses the agent to list applicants and check notes (list_applicants, list_applicant_notes) to maintain a full view of candidate interaction history.

HR Operations Manager

Monitors funnel health by listing funnels and stages (list_funnels, list_funnel_stages) and tracking team progress against goals (list_hiring_goals).

Hiring Manager

Checks for immediate needs by listing open positions (list_openings) and coordinating interview schedules (list_interview_sessions).

What Changes When You Connect

  • See a candidate's entire history instantly. Instead of checking multiple tabs, use get_applicant or list_applicant_notes to pull all their data—from initial application through every note taken.
  • Map your entire pipeline without clicking. Use list_funnels to see your setup, then list_funnel_stages to see exactly how many people are stuck in the 'Review' stage.
  • Track goals without manually running reports. Ask the agent to check list_hiring_goals to see your current progress against quarterly hiring targets.
  • Keep track of open roles. list_openings gives you a live list of active job IDs, and get_opening_details pulls the full job spec for any of them.
  • Coordinate interviews on demand. Use list_interview_sessions to see who's scheduled for an interview this week, or use list_workers to get data on people who already passed through the system.
  • View job source reach. Check list_job_posts to see where your roles are published, helping you optimize where you spend your sourcing time.

Real-World Use Cases

01

The hiring manager needs to know why a candidate stalled.

A hiring manager needs context on a candidate who stalled in the 'Review' stage. They ask the agent to check the candidate's profile and notes. The agent runs get_applicant followed by list_applicant_notes, providing the manager with the full context needed to follow up.

02

HR needs to audit the entire funnel status.

HR needs a quick status report on the entire pipeline. They ask the agent to run list_funnels and list_funnel_stages. The agent compiles this, showing the number of applicants in each stage, allowing HR to immediately identify bottlenecks.

03

The team is hitting its quarterly hiring target.

The Talent Acquisition team needs a quick progress check. They ask the agent to run list_hiring_goals. The agent reports the current percentage completion against specific targets, telling the team if they are on track for the quarter's goal.

04

Need to cross-reference a candidate with their job source.

A specialist needs to validate a candidate's background. They ask the agent to list all active roles (list_openings) and cross-reference that list with the candidate's profile data (get_applicant) to ensure they are applying for a relevant, open position.

The Tradeoffs

Manually checking 12 different dashboards

A recruiter has to jump from the 'Applicants' tab to the 'Funnel Stages' report, then into 'Job Posts' to compare data points. This takes 15 minutes and requires copy/pasting IDs between tabs.

Use your AI agent to query the Fountain MCP Server. Ask it to 'Compare the applicants in Funnel X with the current goals.' The agent runs list_applicants, list_funnel_stages, and list_hiring_goals in sequence and gives one cohesive answer.

Forgetting to check the candidate's notes

The agent provides the applicant list, but the user forgets to ask for list_applicant_notes. The user misses critical context—like a specific reason the candidate was rejected—and sends the wrong follow-up.

Always follow up with list_applicant_notes when reviewing a profile. This ensures you have the full communication history, not just the current status.

Only looking at the open job list

The manager runs list_openings but assumes those roles are filled. They don't know if the role was recently filled and the status hasn't updated. They waste time pitching the wrong job.

Check get_opening_details for the specific role ID. This gives you the metadata and current status, preventing wasted time and bad pitches.

When It Fits, When It Doesn't

Use this server if your job involves moving people through defined stages, tracking against measurable goals, and managing high volumes of job postings. The core benefit is treating the entire hiring process as a single data stream.

Don't use this if you only need to manage simple task lists or send one-off messages. If your workflow is purely about messaging or simple scheduling, a dedicated messaging or calendar tool is better. If you only need to track basic leads without defined funnels, a simple CRM might suffice. But if it's a full talent pipeline, this is the right fit.

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Fountain. 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

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Sandboxed per request

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No stored credentials

DLP Enforced

Policy on every call

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EU data residency

Token Compression

~60% cost reduction

How we secure it →

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 12 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.

Available Capabilities

get_account_details get_applicant get_opening_details list_applicant_notes list_applicants list_funnel_stages list_funnels list_hiring_goals list_interview_sessions list_job_posts list_openings list_workers

Tracking an applicant's status should never require three different screens.

Today, figuring out where an applicant stands means jumping between the main applicant list, the funnel stage view, and sometimes the job post metadata. You have to copy an applicant ID from one place and paste it into another to get the full picture. It's tedious, slow, and you lose context every time you switch tabs.

With the Fountain MCP Server, you ask your agent once. It runs `list_applicants` and `list_funnel_stages` to build the picture for you. You get the status and the context in a single, clean response. You just ask the question, and the agent answers it.

The Fountain MCP Server: Track Applicants & Goals

Before, coordinating an interview required checking the open job list, finding the right role ID, then checking the calendar for availability, and finally cross-referencing the candidate's profile. It was a multi-step, manual loop.

Now, the agent handles the whole loop. It can use `list_openings` to find the role, `list_interview_sessions` to check the calendar, and `get_applicant` to confirm the candidate's status—all without you writing complex code.

Common Questions About Fountain MCP

How do I check the status of an applicant using the Fountain MCP Server? +

You use the list_applicants tool to get a list of candidates. For a specific person, use get_applicant to pull their full profile and status details.

Can I see all the stages in a funnel using the Fountain MCP Server? +

Yes, you run list_funnels first to find the funnel name, then use list_funnel_stages to retrieve all the specific stages within that funnel.

What is the best way to track hiring progress with Fountain MCP Server? +

Use the list_hiring_goals tool. It pulls data showing your team's current percentage progress against specific, defined hiring targets.

Does Fountain MCP Server track job postings? +

Yes, you use list_job_posts to see all jobs published across various external channels, helping you manage your sourcing efforts.

Can I find out what was said about an applicant? +

Use list_applicant_notes. This tool pulls all discussion notes and communication history associated with a specific applicant's record.

How do I use the `get_opening_details` tool in the Fountain MCP Server? +

You provide the opening ID to get the full metadata. This gives you rich details about a specific job opening, like its required skills or department, which simple listing tools don't show.

What tools are available for listing different types of job data in the Fountain MCP Server? +

The server offers dedicated tools for listing specific data sets. You can use list_openings for active positions, list_job_posts for published ads, and list_workers to see profiles of people already hired.

Can the Fountain MCP Server access organizational attributes using `get_account_details`? +

Yes, the get_account_details tool fetches core organization attributes. This helps your agent understand overall company setup or billing information.

How do I get an API Token for Fountain? +

You can find or generate your API token in your Fountain dashboard under Company Settings > Developer Settings.

Does Fountain support bulk actions? +

Yes, the Fountain API is designed for scale. While this MCP server focuses on management and retrieval, bulk advance and transitions are supported by the core platform.

Can I see interview schedules via the agent? +

Yes, the 'list_interview_sessions' tool allows you to retrieve all scheduled and past interview sessions directly from your account.

Is worker data accessible after hire? +

Yes, you can use the 'list_workers' tool to access profiles of individuals who have successfully transitioned to 'hired' status.

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Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients

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