JobScore MCP. Automate candidate tracking and ATS data retrieval.
Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
JobScore. Manage your entire recruiting pipeline by connecting your AI client to the JobScore ATS API. This MCP server lets you list jobs, track candidates, and view hiring team details directly.
You can automatically pull candidate contact history, department structures, and source data to build detailed reports without leaving your agent environment.
What your AI agents can do
Get candidate
Gets a specific candidate's full profile, including contact history, resume highlights, and current application status.
Get job
Retrieves detailed information about a specific job, including its full description, requirements, and hiring team identifiers.
Get me
Verifies the connection status and identity of the currently authenticated user.
Retrieves a specific candidate's contact history, resume highlights, and current application status.
Gets the full job description, requirements, and associated hiring team IDs for any specified job opening.
Returns a list of all candidates in the system, showing their names, current stage, and unique IDs.
Lists all departments (e.g., Engineering, Marketing) and physical office locations used across your job postings.
Lists all candidate sources (like 'LinkedIn' or 'Referral') and all associated hiring teams for deeper data analysis.
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Supported MCP Clients
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JobScore MCP Server: 10 Tools for Recruitment Automation
Use these tools to get candidate profiles, list open jobs, identify departments, and track sources across your entire Applicant Tracking System.
019d75bdget candidate
Gets a specific candidate's full profile, including contact history, resume highlights, and current application status.
019d75bdget job
Retrieves detailed information about a specific job, including its full description, requirements, and hiring team identifiers.
019d75bdget me
Verifies the connection status and identity of the currently authenticated user.
019d75bdlist candidates
Lists every candidate in your system, showing their names, current application stage, and unique IDs.
019d75bdlist departments
Lists all departments (e.g., Engineering, Marketing) that are used to categorize jobs in your account.
019d75bdlist hiring teams
Lists all hiring teams, useful for identifying recruiters and managers assigned to specific roles.
019d75bdlist jobs
Returns a list of all active job titles, their IDs, and the department they belong to.
019d75bdlist locations
Lists all physical office locations used for your job postings.
019d75bdlist sources
Lists all candidate sources (e.g., 'LinkedIn', 'Referral') and analyzes which channels are sending applicants.
019d75bdlist users
Lists all user accounts in the system, helping you identify team members and their roles.
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.
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Make Your AI Do More
Start with JobScore, 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
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- Works with Claude, ChatGPT, Cursor, and more
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What you can do with this MCP connector
Hey, listen up. This JobScore MCP Server gives your AI client direct access to your whole Applicant Tracking System (ATS) data. You don't gotta log into JobScore to pull reports or run operations; your agent handles it all using natural language commands.
Get Candidate Profile Details
get_candidate pulls a specific candidate's full profile, including their contact history, resume highlights, and what stage they're at in your process. list_candidates gives you a roster of every candidate, showing their names, current application stage, and unique IDs.
Retrieve Job Postings
get_job pulls the full job description, requirements, and the IDs of the hiring team for any job you specify. You can also check all active job titles and which department they belong to using list_jobs.
List All Candidates
list_candidates returns a list of every candidate in your system, showing their names, current stage, and unique IDs.
Identify Departments and Locations
list_departments shows you all the departments—like Engineering or Marketing—that categorize your jobs. list_locations lists every physical office location you use for postings.
Track Sources and Teams
list_sources shows you every candidate source, like 'LinkedIn' or 'Referral,' and analyzes which channels are sending you applicants. list_hiring_teams lists all the hiring teams, helping you track recruiters and managers assigned to specific roles. You can also list all user accounts in the system with list_users and see which departments are available with list_departments.
How JobScore MCP Works
- 1 Your AI client asks the agent to perform a recruiting task, such as 'Find all candidates from LinkedIn.'
- 2 The agent selects and runs the appropriate tool (e.g.,
list_sourcesfollowed bylist_candidates). - 3 The agent processes the raw data and returns a structured, summarized list of candidates that meet the criteria.
The bottom line is your AI client can execute complex, multi-step ATS queries without needing to manually navigate the JobScore interface.
Who Is JobScore MCP For?
This server is built for Operations Managers, Talent Acquisition Specialists, and HR Analysts. These are the people who spend their day cross-referencing data across multiple spreadsheets and dashboards. You're tired of logging into the ATS, running a report, downloading a CSV, and then pasting that data into another system. This server gives your agent the ability to pull that raw, structured data directly when it needs it.
Uses the server to programmatically gather metrics, like listing all candidates who applied last week or checking the status of every job posted by a specific department.
Uses the server to get detailed candidate profiles (get_candidate) before an interview or to compile lists of all available hiring teams.
Uses the server to analyze hiring trends by running list_sources and cross-referencing the results with list_departments to understand which business units rely on which talent pipelines.
What Changes When You Connect
- Check a candidate's full file instantly. Instead of guessing a candidate's status, use
get_candidateto pull their contact history, resume highlights, and current application stage right away. - Build comprehensive reports on hiring sources. Use
list_sourcesto see where candidates come from, then cross-reference that data withlist_candidatesto measure the effectiveness of 'Referral' vs. 'Job Board' pipelines. - Map out job requirements and teams. When you find a job ID via
list_jobs, useget_jobto pull the full job description and identify exactly which hiring teams are assigned to it. - Manage organizational structure data. You can run
list_departmentsandlist_locationsto automatically filter jobs and understand the geographical and business unit scope of your hiring efforts. - Track team assignments efficiently. Use
list_hiring_teamsto get a roster of recruiters and managers. Pair this withlist_jobsto know exactly who owns which open position. - Verify data consistency. Run
get_meto confirm the agent's connection status before starting a large data pull, ensuring the workflow doesn't fail halfway through.
Real-World Use Cases
Analyzing Sourcing Effectiveness
A recruiter needs to know if LinkedIn is generating better leads than job boards. They prompt their agent: 'Show me all candidates from LinkedIn and list their current stages.' The agent calls list_sources to confirm 'LinkedIn' is tracked, then uses list_candidates and get_candidate to compile a report detailing the status and history for only those applicants.
Onboarding a New Job Opening
The department head opens a new role and needs to know who should handle it. They ask their agent to 'Find all open jobs and the team assigned to them.' The agent calls list_jobs to get all IDs, and then uses get_job for a specific ID to pull the full job description and the required hiring team identifiers.
Auditing Candidate Status
An HR analyst needs a list of all people who applied but haven't been touched in 60 days. They prompt: 'List all candidates and filter for those who are in the 'Applied' stage.' The agent uses list_candidates to get the full list, filtering on the status field, allowing the analyst to triage stale records.
Building a Job Taxonomy
The hiring manager needs to understand how many open roles exist in each business unit. They instruct their agent: 'List all departments and then list all jobs within each one.' The agent runs list_departments and then iterates through the results using list_jobs to build a complete, structured map of the company's open roles.
The Tradeoffs
Confusing ATS reporting with database querying
Trying to manually filter candidates by department and source across three different spreadsheets. This takes hours and is prone to human error, often missing critical status updates.
→
Ask your agent to run a multi-step query. First, use list_departments to get the correct unit IDs. Then, use list_sources to narrow down the funnel. Finally, run list_candidates to get a clean, filtered list of records.
Over-relying on manual data entry
When a candidate changes roles, a user manually updates their status in a shared spreadsheet, which is often ignored or out of date.
→
Use get_candidate to pull the current, authoritative status from the source of truth. This ensures your agent is working with the live, accurate application status.
Ignoring job context
When discussing a candidate, the user only knows the name but doesn't know the full requirements of the job they applied for, leading to incomplete discussions.
→
Before discussing a candidate, always run get_job using the job ID. This gives the agent the full job description and requirements needed for an informed conversation.
When It Fits, When It Doesn't
Use this server if your primary bottleneck is data aggregation from your Applicant Tracking System. You need a system that can programmatically answer questions like: 'Who applied, where did they come from, and what job requirements did they match?' It's ideal for data analysis, reporting, and automating triage tasks.
Don't use this if you just need to send an email or schedule a meeting. That requires a separate messaging or calendar tool. Also, don't use it if your primary goal is content generation (like writing job ad copy); you need a dedicated writing tool for that. This server is purely for reading and listing structured HR data.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by JobScore. 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.
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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 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Tracking candidate status shouldn't require logging into the ATS dashboard.
Right now, checking a candidate's status means logging into the JobScore platform, navigating to their profile, clicking through multiple tabs to see their current stage, and cross-referencing that status with the job description to ensure everything matches. It's a multi-step, click-heavy process that kills momentum.
With the JobScore MCP Server, you just ask your agent. The agent runs the `get_candidate` tool and instantly returns the full profile, status, and history. You get the answer you need, structured and ready for the next step, without ever touching the JobScore UI.
JobScore MCP Server: Get the full picture of your hiring funnel.
Manually figuring out the scope of your hiring efforts requires running multiple reports: one for all active jobs (`list_jobs`), another for all departments (`list_departments`), and a third for all potential sources (`list_sources`). This manual cross-referencing is slow and often misses the connection between a department and its source data.
Now, your agent connects these data points automatically. You can ask it to list all jobs within the 'Engineering' department that were sourced from 'University X.' You get a single, accurate data set that links the department, the job, and the source, making your data analysis immediate and precise.
Common Questions About JobScore MCP
How does the JobScore MCP Server work with different AI clients? +
The JobScore MCP Server works by exposing a standard set of tools. Any compatible AI client (like Claude, Cursor, or your custom agent) connects via the Model Context Protocol (MCP) to run these tools.
Can I use the JobScore MCP Server to find out which departments exist? +
Yes. You use the list_departments tool. This returns a list of all departments (e.g., Engineering, Marketing) used to categorize jobs in your JobScore account.
What is the difference between `list_jobs` and `list_candidates`? +
list_jobs gives you a roster of open positions (the job itself). list_candidates gives you a roster of people who applied for jobs (the applicant). You often need both to cross-reference who applied to which role.
Does the JobScore MCP Server give me resume highlights? +
Yes, the get_candidate tool returns resume highlights, assuming the candidate has uploaded a resume. This helps your agent summarize the applicant's background quickly.
Can I check the user's current identity using the JobScore MCP Server? +
You use the get_me tool. This simply verifies the connection status and identity of the user running the agent, which is useful for logging and auditing.
How do I use `list_sources` to see where candidates came from? +
It lists all candidate sources. This tells you exactly where applicants are coming from, like 'LinkedIn' or 'Referral', helping you gauge the effectiveness of your hiring channels.
What does the `get_candidate` tool return about a person? +
It returns a candidate's contact history, current application status, and resume highlights (if provided). You use this to get a full picture of the applicant before an interview.
Can I use `list_hiring_teams` to find out who is managing a job? +
Yes, it lists all hiring teams. You can identify the recruiters and hiring managers assigned to specific jobs, which is critical for coordination.
How do I get JobScore API credentials? +
Log in to your JobScore account, navigate to Admin > Integrations, and generate a Personal Access Token.
Does it support departments and locations? +
Yes, you can list all configured departments and office locations using this MCP.
Can I see candidate details? +
Yes, the list_candidates and get_candidate tools provide access to your applicant data.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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