Bring Applicant Tracking
to Vercel AI SDK
Learn how to connect Workable to Vercel AI SDK and start using 7 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Workable MCP Server?
Connect your Workable recruiting account to any AI agent and simplify how you manage your hiring pipelines, track candidates, and coordinate with your team through natural conversation.
What you can do
- Job Management — List all active and archived job openings and retrieve detailed job descriptions and requirements.
- Candidate Tracking — List and inspect candidates across all jobs, and drill down into specific profiles for experience and status.
- Direct Sourcing — Programmatically register new candidates to specific job openings to accelerate your hiring process.
- Team Coordination — List account members and recruiters to understand your hiring team structure.
- Ecosystem Overview — List linked accounts and verify your Workable instance configuration via AI.
How it works
1. Subscribe to this server
2. Enter your Workable Subdomain and API Key
3. Start managing your recruitment machine from Claude, Cursor, or any MCP client
Who is this for?
- Recruiters & HR Managers — quickly check candidate statuses and job metadata via simple AI queries.
- Hiring Managers — monitor the progress of specific pipelines and review new applicants without opening the dashboard.
- Operations Teams — automate candidate registration and track team activity levels directly from the workspace.
Built-in capabilities (7)
Register a new candidate to a job
Get details for a specific candidate
Get details for a specific job
List hiring team members
List candidates across all jobs
List active job openings
List connected accounts
Why Vercel AI SDK?
The Vercel AI SDK gives every Workable tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 7 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
- —
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
- —
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Workable integration everywhere
- —
Built-in streaming UI primitives let you display Workable tool results progressively in React, Svelte, or Vue components
- —
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Workable in Vercel AI SDK
Workable and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Workable to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Workable in Vercel AI SDK
The Workable MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 7 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
Workable for Vercel AI SDK
Every tool call from Vercel AI SDK to the Workable MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find the shortcode for a specific job?
Use the list_jobs tool. It returns a list of all your openings, each with its unique shortcode required for more detailed queries or actions.
Can I add a new candidate directly to a job via AI?
Yes! Use the create_candidate action. Provide the job shortcode along with the candidate's name and email to register them in your Workable pipeline.
Is it possible to see the recruiter assigned to an account?
Absolutely. Run the list_account_members query to retrieve the directory of all users and recruiters in your instance, including their roles.
How does the Vercel AI SDK connect to MCP servers?
Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
Can I use MCP tools in Edge Functions?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp