Compatible with every major AI agent and IDE
What is the Ashby MCP Server?
Connect your Ashby account to any AI agent and take full control of your recruiting pipeline and candidate experience through natural conversation.
What you can do
- Candidate Orchestration — List and manage candidate profiles programmatically, including creating new records and retrieving high-fidelity profile metadata
- Application Lifecycle Management — Monitor job applications and retrieve detailed status metrics for specific candidates to coordinate your hiring funnel in real-time
- Interview Intelligence — Access scheduled interviews and retrieve submitted high-fidelity feedback reports to summarize performance and sentiment
- Job & Department Visibility — Retrieve complete directories of open jobs, departments, and hiring managers to maintain a perfectly coordinated organizational view
- User & Location Monitoring — Access your internal recruiter directory and physical office locations directly through your agent for instant operational reporting
How it works
- Subscribe to this server
- Retrieve your API Key from the Ashby dashboard (Admin > API Keys)
- Start managing your talent pipeline from Claude, Cursor, or any MCP client
No more manual toggling between browser tabs to check a candidate's status or feedback. Your AI acts as your dedicated talent coordinator and recruiting architect.
Who is this for?
- Recruiters & Sourcers — instantly retrieve candidate summaries and update application stages using natural language commands
- Hiring Managers — check interview feedback and pipeline health across departments without leaving your creative workspace
- HR Operations — automate the oversight of job postings and user permissions through simple AI queries
Built-in capabilities (10)
Create candidate
Get application details
Get candidate details
Get job details
List applications
List candidates
List feedback
List interviews
List jobs
List users
Why Vercel AI SDK?
The Vercel AI SDK gives every Ashby tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
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Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Ashby integration everywhere
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Built-in streaming UI primitives let you display Ashby tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Ashby in Vercel AI SDK
Ashby and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Ashby 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 | 4,000+ 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 Ashby in Vercel AI SDK
The Ashby 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 10 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
Ashby for Vercel AI SDK
Every tool call from Vercel AI SDK to the Ashby 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 my Ashby API Key?
Log in as an Admin, navigate to Admin > API Keys, and generate a new key for your integration.
Can I retrieve interview feedback via AI?
Yes! The list_ashby_feedback tool allows your agent to retrieve high-fidelity feedback reports submitted by interviewers.
How do I create a new candidate record?
Use the create_ashby_candidate tool and provide a JSON object with the candidate's name and contact details programmatically.
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
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