Bring Talent Acquisition
to Vercel AI SDK
Learn how to connect Crelate Talent CRM to Vercel AI SDK and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for Subscribers
What is the Crelate Talent CRM MCP Server?
Integrate Crelate, the specialized recruiting CRM and applicant tracking system (ATS), directly into your AI workflow. Manage your talent pipeline, monitor job orders, and track candidate activities using natural language.
What you can do
- Candidate Management — List, search, and retrieve full profiles for candidates and contacts.
- Job Tracking — Monitor open and past job opportunities and their current status.
- Activity Logging — Review recent recruiting activities including calls, emails, and internal notes.
- Client Relationship — Manage company records and associated client data seamlessly.
How it works
1. Connect the Crelate integration to your AI assistant.
2. Authorize using your Crelate API Key (found in Settings > API).
3. Optimize your recruiting operations through intuitive conversation.
Who is this for?
- Recruiters & Headhunters — Quickly find candidate details and log notes after interviews.
- Talent Acquisition Teams — Monitor job pipeline progress and candidate engagement.
- Agency Owners — Get a quick overview of agency-wide activities and job statuses via chat.
Built-in capabilities (10)
Add a new candidate or contact to the database
Get detailed profile for a specific candidate or contact
List internal notes for a specific contact
Get detailed information for a specific job order
List all companies and client records
List all candidate and contact records in Crelate
List internal recruiters and team members
List open and past job opportunities
List recent recruiting activities (calls, emails, notes)
Search for contacts by name keyword
Why Vercel AI SDK?
The Vercel AI SDK gives every Crelate Talent CRM 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 Crelate Talent CRM integration everywhere
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Built-in streaming UI primitives let you display Crelate Talent CRM 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
Crelate Talent CRM in Vercel AI SDK
Crelate Talent CRM and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Crelate Talent CRM 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 Crelate Talent CRM in Vercel AI SDK
The Crelate Talent CRM 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
Crelate Talent CRM for Vercel AI SDK
Every tool call from Vercel AI SDK to the Crelate Talent CRM 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 get a Crelate API Key?
Log in to Crelate, navigate to Settings > API, and you will find your API Key there. You may need to enable API access first.
Can the agent update candidate statuses?
This integration currently focuses on listing and retrieving candidate profiles and notes. Updating statuses would require additional write permissions and specific tool configuration.
Does Crelate support custom fields?
Yes, Crelate's API provides access to custom fields. The agent can retrieve these fields as part of the full candidate or job profile.
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