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Jobtoolz MCP. Manage every step of the hiring pipeline.

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

Just plug in your AI agents and start using Vinkius.

Jobtoolz MCP Server manages your entire hiring pipeline. Your AI agent can list all open jobs, check candidate status, vet applicants using `get_candidate`, and audit your sources using `list_sources`.

It provides a single API gateway to track candidates, jobs, and departments across your organization's entire recruiting workflow.

What your AI agents can do

Get candidate

Retrieves a candidate's contact details, application history, and custom field values.

Get job

Retrieves a job's description, requirements, and internal status.

List candidates

Lists all candidates, showing their names, IDs, and current pipeline status.

+ 7 more capabilities included
Get Candidate Details

Retrieves a candidate's full profile, contact info, application history, and custom field data for detailed vetting.

Get Job Details

Pulls all necessary information about a specific job, including requirements, description, and internal status.

Manage Candidate Lists

Lists all candidates currently in the system, showing their names, IDs, and where they stand in the pipeline.

Audit Job Listings

Retrieves all active job postings, providing titles, IDs, and the departments they belong to.

Filter by Business Unit

Lists all departments within your company, letting you narrow down job or candidate searches by unit (e.g., R&D, Sales).

Identify Locations

Lists all office locations, which helps filter jobs and candidates based on geography.

Track Pipeline Stages

Lists all configured stages (like 'Applied' or 'Interview') so your agent knows the company's full hiring process flow.

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

Jobtoolz MCP Server: 10 Tools for Recruitment Management

Manage the full hiring lifecycle by listing, retrieving, and auditing candidate and job data with these ten tools.

get019d75bd

get candidate

Retrieves a candidate's contact details, application history, and custom field values.

get019d75bd

get job

Retrieves a job's description, requirements, and internal status.

list019d75bd

list candidates

Lists all candidates, showing their names, IDs, and current pipeline status.

list019d75bd

list departments

Lists all departments in the organization.

list019d75bd

list jobs

Lists all active job titles, IDs, and the departments they belong to.

list019d75bd

list locations

Lists all office locations configured in Jobtoolz.

list019d75bd

list sources

Lists all recruitment sources (e.g., 'Indeed', 'Company Website') that brought in candidate traffic.

list019d75bd

list stages

Lists all configured pipeline stages (e.g., 'Applied', 'Interview', 'Offer').

list019d75bd

list tags

Lists all valid tags used across jobs and candidates.

list019d75bd

list users

Lists all organizational users, useful for identifying administrators or hiring managers.

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What you can do with this MCP connector

Jobtoolz MCP Server is your AI agent's direct line to the Jobtoolz API. It lets your agent manage the whole hiring lifecycle—from finding open roles to tracking candidates through every stage. You can use your agent to list all active jobs, check a candidate's status, vet applicants using get_candidate, and audit your sources using list_sources.

It gives your agent a single gateway to track candidates, jobs, and departments across your whole recruiting workflow. Your agent can list all candidates, showing their names, IDs, and where they stand in the pipeline. It can check every active job posting, giving you the titles, IDs, and the departments they belong to.

You can list all departments in the organization, letting you narrow down searches by business unit. It tracks all office locations, so you can filter jobs and candidates by geography. Your agent can list all configured pipeline stages, like 'Applied' or 'Interview', so it knows the whole hiring process flow.

When you get a candidate, your agent pulls their full profile, contact info, application history, and custom field data for detailed vetting. You can get a job to pull all the necessary info, including requirements, description, and internal status. You can list all tags used across jobs and candidates. Your agent can list all organizational users, which is handy for identifying admins or hiring managers.

You can list all recruitment sources (like 'Indeed' or 'Company Website') to see where candidate traffic comes from.

How Jobtoolz MCP Works

  1. 1 Your agent first asks for the necessary context, like 'List all active jobs' using list_jobs.
  2. 2 The server responds by fetching the job list, which provides IDs and department mappings.
  3. 3 The agent then uses the retrieved job ID to run get_job and get the full description and requirements for that specific role.

The bottom line is that your agent treats the entire recruiting database like a single, searchable source of truth, letting it gather context before making a decision.

Who Is Jobtoolz MCP For?

The Talent Acquisition Manager who has to manually pull candidate data from multiple spreadsheets and ATS dashboards. The Hiring Manager who needs to quickly verify a candidate's history against a specific job role. The HR Operations Specialist who needs to audit departmental structures and pipeline stages. If your job involves tracking people, this is for you.

Talent Acquisition Manager

Uses list_candidates to monitor pipeline flow and list_sources to measure which recruiting channels perform best.

Hiring Manager

Runs get_job and get_candidate to compare a specific applicant's history against a job's detailed requirements before the interview.

HR Operations Specialist

Uses list_departments and list_stages to verify that all job postings and candidate records adhere to current internal company standards.

What Changes When You Connect

  • Audit candidate origins: Use list_sources to see exactly where every candidate came from. Stop guessing which channels work and start proving ROI on your job postings.
  • Verify job requirements instantly: Before reviewing a candidate, run get_job to pull the full, current job description and requirements. This ensures your agent compares the applicant against the latest version of the role.
  • Track pipeline bottlenecks: Use list_stages and list_candidates together. Your agent can identify if too many candidates are getting stuck in the 'Interview' stage, flagging a process choke point.
  • Filter by specific criteria: Need to find all open roles in the 'Sales' department located in 'Austin'? Your agent combines list_departments and list_locations to narrow down the search instantly.
  • Deep candidate vetting: Run get_candidate on any ID. You get the full application history and custom field values—not just a name. This is crucial for thorough background checks.
  • Identify key personnel: Use list_users to pull a list of administrators or hiring managers, ensuring your agent knows who has permission to approve a candidate or modify a job posting.

Real-World Use Cases

01

Investigating a stalled candidate record

A candidate is flagged as 'stuck' in the pipeline. Instead of emailing a recruiter, your agent runs get_candidate to check the last activity date and runs list_stages to see the defined process flow. It determines the candidate's last stage and sends an alert to the correct manager, solving the problem without human intervention.

02

Launching a new role in a specific region

The Marketing department needs a new job posted in Seattle. The agent first runs list_departments and list_locations to confirm the correct IDs, then uses list_jobs to check for existing roles, and finally prepares the necessary data using get_job to ensure the posting is correct.

03

Measuring hiring channel performance

The VP of HR wants to know which job sources bring the highest quality talent. The agent executes list_sources and then cross-references those sources with list_candidates to quantify the success rate of 'Indeed' versus 'Company Website'.

04

Auditing user permissions and job structure

The Ops team needs to ensure only authorized users can post jobs. The agent runs list_users to check for admin roles and list_departments to validate that the job posting is correctly filed under the appropriate business unit.

The Tradeoffs

Assuming full data access

The user thinks they can just ask the agent, 'Give me the candidate's whole story.' The agent only has partial access and doesn't know which ID to use, returning an error.

Always start by running list_candidates to get a valid ID, then pass that ID to get_candidate. Never assume the agent knows the ID.

Using the wrong scope for job listing

Asking the agent to 'List all jobs in the West Coast' without specifying the location ID, resulting in an incomplete or incorrect job list.

First, run list_locations to get the specific location ID. Then, use the department and location context to filter your query when calling list_jobs.

Confusing roles and users

Asking the agent to 'Check the hiring manager's details' when the system only knows about organizational users, not roles. This fails because the data models are separate.

Use list_users to retrieve a list of all account users. If you need to validate job postings, use list_departments first to get the valid business unit IDs.

When It Fits, When It Doesn't

Use this MCP server if your primary workflow involves tracking a person (candidate) or a position (job) through defined stages. It’s necessary if you need to cross-reference data points—for example, matching a candidate's history (get_candidate) against a job's specific requirements (get_job).

Don't use it if you only need a simple data dump, like listing all employee emails. For that, a dedicated user directory service is better. If you just need to check if a job exists, list_jobs is sufficient, but if you need the details, you must run get_job. Always start by listing the available IDs before retrieving specific records.

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Jobtoolz. 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 list_candidates list_departments list_jobs list_locations list_sources list_stages list_tags list_users

Manually tracking candidate progress is a nightmare.

Today, tracking a candidate is a mess of clicks. You jump from the ATS to the spreadsheet, copy the name, paste it into the department dashboard, and then manually check the pipeline stage. If a recruiter updates something, you have to remember to go back and update the master record. It's slow, and it’s easy to miss a step.

With the Jobtoolz MCP Server, your agent does the cross-referencing for you. You tell it, 'Find all candidates who applied for the R&D role last month.' The agent runs `list_candidates` and filters by `get_job` requirements, giving you a clean, filtered list in one query. You stop clicking and start analyzing.

Jobtoolz MCP Server: Control the entire hiring lifecycle.

The pain points go beyond just tracking. You spend time auditing where candidates came from, checking if the job posting matches the correct department, and verifying that the pipeline stages are current. All this context requires jumping between separate API calls and databases.

Now, your agent handles the full context. You ask it to 'Audit the hiring process for the Marketing department.' The agent uses `list_departments`, `list_stages`, and `list_sources` to build a full picture of the funnel. You get the complete, governed view immediately.

Common Questions About Jobtoolz MCP

How do I use the `get_candidate` tool with Jobtoolz MCP Server? +

You pass a specific candidate ID to get_candidate. This returns the candidate's full profile, including their application history and custom field values. Use this when you need deep vetting data, not just a name.

Which tool should I use to find all open jobs in Jobtoolz MCP Server? +

Run list_jobs. This tool gives you all active job titles, their IDs, and which departments they belong to. It's the starting point for any job-related query.

Can I check the status of a candidate's pipeline using list_candidates? +

Yes, list_candidates lists all candidates and includes their current pipeline status. This is a quick check to monitor overall applicant flow.

What is the purpose of `list_sources` in Jobtoolz MCP Server? +

list_sources shows every recruitment source that has fed candidates into the system (like Indeed or a company site). Use this to measure which channels are most effective.

Do I need to use `list_departments` before listing jobs? +

While not mandatory, it's best practice. First, run list_departments to get the correct department ID, then use that ID when querying list_jobs to keep your search highly focused.

How do I use `list_stages` to understand the hiring process flow? +

The list_stages tool shows every configured pipeline stage (e.g., Applied, Interview, Offer). You use this to map the company's exact hiring journey and ensure your agent tracks the right status updates.

What information does `get_job` provide beyond the title? +

The get_job tool retrieves the full job description, detailed requirements, and the job's internal status. This lets your agent analyze the role thoroughly, not just by title.

Can I audit where candidates came from using `list_sources`? +

list_sources shows all configured recruitment channels, like 'Indeed' or 'Company Website.' This lets you track and verify the origin of candidate leads for marketing analysis.

How do I get Jobtoolz API credentials? +

Log in to your Jobtoolz account, navigate to Settings > API, and find your API Key.

Does it support departments and locations? +

Yes, you can list all configured departments and office locations using this MCP.

Can I see pipeline stages? +

Yes, the list_stages tool provides access to your recruitment pipeline configuration.

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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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