Gem MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Gem through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Gem, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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
About Gem MCP Server
Connect your Gem recruitment CRM to any AI agent to automate your talent sourcing and candidate relationship management through the Model Context Protocol (MCP). Gem is the AI-first recruiting platform that helps modern teams find, engage, and hire top talent. This MCP server enables you to manage your candidate database, organize talent projects, and retrieve detailed interaction histories directly through natural conversation.
The Vercel AI SDK gives every Gem tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
Key Features
- Candidate Oversight — List all candidates in your CRM, retrieve detailed profiles, and create new records instantly to maintain a full talent pipeline.
- Talent Project Management — Access your sourcing projects and fetch detailed metadata to track how your talent pools are growing.
- Interaction Logging — Access historical notes and interaction logs for candidates, or programmatically log new notes from your chat interface.
- Outreach Insights — List active outreach sequences and automated messaging campaigns to understand your engagement status.
- Custom Metadata — Retrieve the definitions of custom fields configured for your team to maintain consistent data tracking.
- Workforce Collaboration — List all team members and recruiters in the account to verify ownership and assignments.
- Real-time Synchronization — Keep your recruiting data accessible to your AI assistant without leaving your primary workspace.
The Gem MCP Server exposes 12 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Gem to Vercel AI SDK via MCP
Follow these steps to integrate the Gem MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 12 tools from Gem and passes them to the LLM
Why Use Vercel AI SDK with the Gem MCP Server
Vercel AI SDK provides unique advantages when paired with Gem through the Model Context Protocol.
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 Gem integration everywhere
Built-in streaming UI primitives let you display Gem 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
Gem + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Gem MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Gem in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Gem tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Gem capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Gem through natural language queries
Gem MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect Gem to Vercel AI SDK via MCP:
add_candidate_note
Log an interaction
create_crm_candidate
Add new candidate
get_candidate_details
Get candidate metadata
get_project_details
Get project metadata
list_candidate_notes
List interactions
list_candidates
List CRM candidates
list_crm_custom_fields
List team fields
list_outreach_sequences
List sequences
list_recruiting_team
List Gem users
list_talent_projects
List Gem projects
update_crm_candidate
Modify candidate
verify_api_connection
Check connection
Example Prompts for Gem in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Gem immediately.
"List all active candidates in my Gem CRM."
"Show me the interactions history for candidate '12345'."
"Create a new candidate record for 'Alice Smith' (alice@email.com)."
Troubleshooting Gem MCP Server with Vercel AI SDK
Common issues when connecting Gem to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpGem + Vercel AI SDK FAQ
Common questions about integrating Gem MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
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?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Gem with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Gem to Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.