Workable Alternative MCP for AI. Manage every stage of the talent pipeline in chat.

Q: Can I retrieve the full details of a specific job posting?

Yes! Use the getjob tool with the job's shortcode. Your agent will return the full job description, requirements, and metadata associated with that posting.

Q: Is it possible to add a new candidate directly through the AI?

Absolutely. Use the createcandidate action. You can provide the candidate's name, email, headline, and a summary to instantly create their profile in your Workable account.

Q: How can I see the different steps in our recruitment process?

Simply ask the agent to run the liststages tool. It will provide a list of all configured hiring stages, helping you understand where candidates are in the pipeline.

Q: Can I use listrecruiters to see who owns which job opening?

Yes. Running listrecruiters gives you an overview of team members. You can then ask your agent to cross-reference that data with active job postings to determine ownership or assignment.

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

Connect to your AI in seconds.

Workable Alternative connects your AI agent directly into your job board and candidate tracking system. Ask it to list all open roles, check a candidate's application status, or build a new profile—all without leaving your chat window.

What your AI can do

List candidates

Provides a list of multiple candidates, allowing you to see who's in the system.

Create candidate

Adds a brand new applicant profile to your Workable account.

Get candidate

Pulls all the detailed information for a single candidate ID.

+ 4 more capabilities included

List all active job openings

Get a full list of every current job posting and their details.

Check specific candidate records

Retrieve complete profiles, contact info, and application summaries for one person.

Build new applicant profiles

Create brand new candidate accounts or applications directly from the chat interface.

Track hiring workflow stages

Understand and list every stage defined in your company's recruitment process.

List team members and recruiters

Get details on the internal staff involved in hiring, like recruiters or hiring managers.

Ask an AI about this

Included with Plan

Waiting for input…

AI Agent

Workable Alternative: 7 Tools Available

Use these seven tools together in your chat client to query, create, and update every aspect of your applicant tracking system.

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 Workable on Vinkius

List Candidates

Provides a list of multiple candidates, allowing you to see who's in the system.

Create Candidate

Adds a brand new applicant profile to your Workable account.

Get Candidate

Pulls all the detailed information for a single candidate ID.

Get Job

Retrieves full details and descriptions for one specific job posting.

List Jobs

Lists all current and active job postings available for your company.

List Recruiters

Shows a list of internal recruiters or hiring team members in Workable.

List Stages

Lists all the defined steps or stages that candidates go through during your process.

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 Workable Alternative integration is available immediately — no restart needed.

Antigravity

Configure Agent Environment

Open your Antigravity agent's workspace configuration or mcp-servers.json file.

Bind the Endpoint

Add the Vinkius endpoint URL to your agent's MCP connections list:

"mcp_servers": {
  "workable-alternative": {
    "serverUrl": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
  }
}

Provide your secure token in place of [YOUR_TOKEN_HERE] to ensure your agent requests are authenticated.

Execute

Start your Antigravity session. The agent will autonomously discover and utilize the Workable Alternative tools with full Vinkius guardrails applied.

VS Code Copilot

⚡

One-Click Install (Recommended)

In your Vinkius Dashboard, simply click the Add to VS Code button for this server. We'll automatically configure your local workspace.

Or configure manually

Open MCP Settings

Open VS Code, press Ctrl/Cmd + Shift + P, and search for GitHub Copilot: MCP Servers.

Add Server Config

Add the Vinkius endpoint configuration to your mcp-servers.json file:

"workable-alternative": {
  "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}

Ensure you replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

LangChain

Install Dependencies

Install the LangChain MCP adapters for your environment:

pip install langchain-mcp-adapters

Connect the Server

Use the SSEClient in LangChain to connect to the Vinkius managed endpoint:

from langchain_mcp_adapters.client import SSEClient

# Connect to Vinkius
client = SSEClient(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
tools = client.get_tools()

CrewAI

Define the Tool

Load the Vinkius MCP tools into your CrewAI agents:

from crewai import Agent
from mcp_crewai import MCPTool

# Connect securely to Vinkius
vinkius_tools = MCPTool(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

# Assign to Agent
researcher = Agent(
    role='Data Researcher',
    tools=vinkius_tools.get_all()
)

Execute Task

Run your CrewAI process. The agent will autonomously route tasks to the Vinkius managed server.

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 Workable, 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 Workable. 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

Your data is protected. See how we built 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 connection provides 7 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.

The HR Dashboard Nightmare

Today, checking a candidate's status means opening your ATS, finding their name, clicking into the profile, scrolling through notes, and maybe cross-referencing that with a job description in another tab. It’s constant context switching, which burns time.

With this MCP, you just chat about it. You ask for the candidate's status, and the agent runs all those background checks—accessing profiles, reviewing stages, checking roles—and gives you one clean answer.

You Get a Live Pipeline Overview with `list_candidates`

The manual steps that vanish are the repetitive searches. You don't have to search by name, then filter by date, and *then* check which stages they passed. The agent handles all that logic.

You get a real-time view of your entire talent pool without ever leaving the conversation. It’s instant clarity on who you're working with.

Support 24/7 support@vinkius.com ↗

Security Vinkius Trust Center ↗

SLA Service Level Agreement ↗

Report Listing Send Report ↗

What your AI can actually do with this

Managing recruitment data shouldn't require opening twenty different tabs. This MCP lets you talk to your entire hiring pipeline using natural language. Need to know who is stuck in the 'Interview Stage'? Just ask. Want to create an application for a promising contact? Tell it to do it.

The system gives you full control over job postings, candidate records, and the stages people move through—all from one conversation thread. When you connect this MCP, your credentials pass through Vinkius's zero-trust proxy; that means your sensitive HR keys are used only in transit and never saved to disk. You get the power of instant access without sacrificing security.

This makes it a critical layer for any agent handling sensitive applicant data.

Built · Hosted · Managed by Vinkius Workable Alternative MCP - Manage Candidate Pipelines

Server ID 019e390e-72f3-73af-a486-5fbf8bd2ada5

Vinkius Inspector

Compliance Grade A+

Score 100/100

Report View Report ↗

What Changes When You Connect

Stop manually compiling job sheets. Use list_jobs to instantly get all active roles and their shortcodes, letting you draft targeted messages right away.

Never lose track of a promising contact again. You can use get_candidate to pull up full profiles—including summaries and contact details—on demand.

When onboarding new talent, don't waste time creating records manually. Use create_candidate to add an applicant profile instantly based on conversation notes.

Need a quick status check? Running list_candidates shows you who’s in the system without needing to navigate through complex dashboards.

Automate reporting by running list_stages. This tells you exactly what steps are available, helping you see where your process might be slowing down.

See it in action

01 01

A manager needs a headcount report quickly.

Instead of asking the Recruiter to run a report and send an email, the agent runs list_jobs and then filters that data for specific roles (e.g., 'all engineering jobs'). The result is delivered immediately in chat.

02 02

A candidate needs follow-up details.

The Recruiter receives an email with a name but no context. They ask the agent to get_candidate using only the ID, and the full work history pops up instantly for review.

03 03

A new role needs setup.

The Hiring Manager just finished planning a job. The agent runs list_stages first, confirming the process flow, then uses get_job to template the final posting details before publishing.

The honest tradeoffs

Copying/Pasting status updates

Anti-pattern

Manually logging that 'Jane Doe passed stage 3' by copying text from an email and pasting it into the ATS notes section.

The Fix

Use your agent to interact with the system directly. If you need a record, use create_candidate. To check status, let the agent run get_candidate.

Relying on exported spreadsheets

Anti-pattern

Exporting a list of all candidates to Excel just to count how many are in 'Review' stage, then manually filtering.

The Fix

Just ask the agent to run list_candidates. It handles the complex filtering and returns the data structured for immediate reading.

When It Fits, When It Doesn't

Use this MCP if your core workflow involves moving people through defined stages (like application, interview, offer). You need it when you are managing the entire lifecycle of a job opening or candidate profile. Don't use it just to store contacts—that’s overkill. If all you need is to track project milestones unrelated to hiring, use a separate task management tool. But if your problem involves 'Who applied?', 'What job was posted?', or 'Where are they in the process?', this MCP has the tools, including list_stages and get_job, to give you the full picture.

Questions you might have

Can I retrieve the full details of a specific job posting? +

Yes! Use the get_job tool with the job's shortcode. Your agent will return the full job description, requirements, and metadata associated with that posting.

Is it possible to add a new candidate directly through the AI? +

Absolutely. Use the create_candidate action. You can provide the candidate's name, email, headline, and a summary to instantly create their profile in your Workable account.

How can I see the different steps in our recruitment process? +

Simply ask the agent to run the list_stages tool. It will provide a list of all configured hiring stages, helping you understand where candidates are in the pipeline.

How do I use `list_candidates` if I need a filtered view of my job applicants? +

Yes, you can filter candidate lists by status or role. Simply tell your agent what criteria to use when running the list_candidates tool. For example, 'Show me all candidates in the 'Interviewing' stage who are 'Developer' roles.' The agent handles the filtering logic for you.

What if I run into an error using `get_candidate`? Does it mean the candidate doesn't exist? +

An error usually means the specific ID provided isn't found or is inaccessible. If your agent gets a failure, check that you gave it the correct unique identifier; sometimes a simple typo in the ID will cause the tool to fail.

Can I use `list_recruiters` to see who owns which job opening? +

Yes. Running list_recruiters gives you an overview of team members. You can then ask your agent to cross-reference that data with active job postings to determine ownership or assignment.

What happens if I forget to provide my Workable API Key when setting up the MCP? +

The connection will fail immediately and prevent any tool calls. You must enter your valid credentials first, otherwise, your agent won't have permission to communicate with your account.

Is there a way for my agent to track job openings that are currently active but not yet listed? +

No, the MCP only interacts with data Workable officially tracks. To know about an unlisted opening, you'd need external information; running list_jobs will only show postings that have already been made public in your account.

Connect to your AI in seconds.

List candidates

Create candidate

Get candidate

Workable Alternative: 7 Tools Available

Make your AI actually useful.

List Candidates

Create Candidate

Get Candidate

Get Job

List Jobs

List Recruiters

List Stages

Security and governance baked right in.

Claude AI

Open Claude Settings

Add Custom Connector

Start a conversation

Claude Code

Open your terminal

Add the MCP Server

Start coding

Cursor

One-Click Install (Recommended)

Open Cursor Settings

Add New Server

Use in Composer

Antigravity

Configure Agent Environment

Bind the Endpoint

Execute

VS Code Copilot

One-Click Install (Recommended)

Open MCP Settings

Add Server Config

Windsurf

One-Click Install (Recommended)

Open Windsurf Settings

Add Server Endpoint

LangChain

Install Dependencies

Connect the Server

CrewAI

Define the Tool

Execute Task

Choose How to Get Started

Build Your Own

Make Your AI Do More

Works with Claude, ChatGPT, Cursor, and more

The HR Dashboard Nightmare

You Get a Live Pipeline Overview with `list_candidates`

What your AI can actually do with this

Here's how it actually works

Who is this actually for?

What Changes When You Connect

See it in action

A manager needs a headcount report quickly.

A candidate needs follow-up details.

A new role needs setup.

The honest tradeoffs

Copying/Pasting status updates

Relying on exported spreadsheets

When It Fits, When It Doesn't

Questions you might have