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JobScore MCP. Automate candidate tracking and ATS data retrieval.

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

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.

+ 7 more capabilities included
Get Candidate Profile Details

Retrieves a specific candidate's contact history, resume highlights, and current application status.

Retrieve Job Postings

Gets the full job description, requirements, and associated hiring team IDs for any specified job opening.

List All Candidates

Returns a list of all candidates in the system, showing their names, current stage, and unique IDs.

Identify Departments and Locations

Lists all departments (e.g., Engineering, Marketing) and physical office locations used across your job postings.

Track Sources and Teams

Lists all candidate sources (like 'LinkedIn' or 'Referral') and all associated hiring teams for deeper data analysis.

Supported MCP Clients

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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AI Agent

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.

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get candidate

Gets a specific candidate's full profile, including contact history, resume highlights, and current application status.

get019d75bd

get job

Retrieves detailed information about a specific job, including its full description, requirements, and hiring team identifiers.

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get me

Verifies the connection status and identity of the currently authenticated user.

list019d75bd

list candidates

Lists every candidate in your system, showing their names, current application stage, and unique IDs.

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list departments

Lists all departments (e.g., Engineering, Marketing) that are used to categorize jobs in your account.

list019d75bd

list hiring teams

Lists all hiring teams, useful for identifying recruiters and managers assigned to specific roles.

list019d75bd

list jobs

Returns a list of all active job titles, their IDs, and the department they belong to.

list019d75bd

list locations

Lists all physical office locations used for your job postings.

list019d75bd

list sources

Lists all candidate sources (e.g., 'LinkedIn', 'Referral') and analyzes which channels are sending applicants.

list019d75bd

list users

Lists all user accounts in the system, helping you identify team members and their roles.

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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. 1 Your AI client asks the agent to perform a recruiting task, such as 'Find all candidates from LinkedIn.'
  2. 2 The agent selects and runs the appropriate tool (e.g., list_sources followed by list_candidates).
  3. 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.

Recruiting Operations Manager

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.

Talent Acquisition Specialist

Uses the server to get detailed candidate profiles (get_candidate) before an interview or to compile lists of all available hiring teams.

HR Analyst

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_candidate to pull their contact history, resume highlights, and current application stage right away.
  • Build comprehensive reports on hiring sources. Use list_sources to see where candidates come from, then cross-reference that data with list_candidates to measure the effectiveness of 'Referral' vs. 'Job Board' pipelines.
  • Map out job requirements and teams. When you find a job ID via list_jobs, use get_job to pull the full job description and identify exactly which hiring teams are assigned to it.
  • Manage organizational structure data. You can run list_departments and list_locations to automatically filter jobs and understand the geographical and business unit scope of your hiring efforts.
  • Track team assignments efficiently. Use list_hiring_teams to get a roster of recruiters and managers. Pair this with list_jobs to know exactly who owns which open position.
  • Verify data consistency. Run get_me to confirm the agent's connection status before starting a large data pull, ensuring the workflow doesn't fail halfway through.

Real-World Use Cases

01

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.

02

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.

03

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.

04

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

Available Capabilities

get_candidate get_job get_me list_candidates list_departments list_hiring_teams list_jobs list_locations list_sources list_users

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.

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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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