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Gem MCP Server for Mastra AI 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Gem through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "gem": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Gem Agent",
    instructions:
      "You help users interact with Gem " +
      "using 12 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Gem?"
  );
  console.log(result.text);
}

main();
Gem
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Mastra's agent abstraction provides a clean separation between LLM logic and Gem tool infrastructure. Connect 12 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI via MCP

Follow these steps to integrate the Gem MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 12 tools from Gem via MCP

Why Use Mastra AI with the Gem MCP Server

Mastra AI provides unique advantages when paired with Gem through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Gem without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Gem tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Gem + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Gem MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Gem, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Gem as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Gem on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Gem tools alongside other MCP servers

Gem MCP Tools for Mastra AI (12)

These 12 tools become available when you connect Gem to Mastra AI via MCP:

01

add_candidate_note

Log an interaction

02

create_crm_candidate

Add new candidate

03

get_candidate_details

Get candidate metadata

04

get_project_details

Get project metadata

05

list_candidate_notes

List interactions

06

list_candidates

List CRM candidates

07

list_crm_custom_fields

List team fields

08

list_outreach_sequences

List sequences

09

list_recruiting_team

List Gem users

10

list_talent_projects

List Gem projects

11

update_crm_candidate

Modify candidate

12

verify_api_connection

Check connection

Example Prompts for Gem in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Gem immediately.

01

"List all active candidates in my Gem CRM."

02

"Show me the interactions history for candidate '12345'."

03

"Create a new candidate record for 'Alice Smith' (alice@email.com)."

Troubleshooting Gem MCP Server with Mastra AI

Common issues when connecting Gem to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Gem + Mastra AI FAQ

Common questions about integrating Gem MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Gem to Mastra AI

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.