How do I get an API Key for Gem?

Team Admins can generate API keys in the Team Settings dashboard of the Gem web application.

Can I search for candidates across all projects?

Yes, the 'list_candidates' tool retrieves a global list of candidates, which you can then narrow down using IDs or details.

Is it possible to log interview notes via the agent?

Yes! Use the 'add_candidate_note' tool and provide the Candidate ID and your text to instantly update their record in the CRM.

How do I see which sequences a candidate is in?

The 'get_candidate_details' tool retrieves the full metadata payload, which includes information about outreach and automated messaging state.

Gem MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes

Name: Gem
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 12 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Gem through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Gem Assistant",
            instructions=(
                "You help users interact with Gem. "
                "You have access to 12 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Gem"
        )
        print(result.final_output)

asyncio.run(main())

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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.

The OpenAI Agents SDK auto-discovers all 12 tools from Gem through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Gem, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the Gem MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 12 tools from Gem

Why Use OpenAI Agents SDK with the Gem MCP Server

OpenAI Agents SDK provides unique advantages when paired with Gem through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Gem + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Gem MCP Server delivers measurable value.

Automated workflows: build agents that query Gem, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Gem, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Gem tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Gem to resolve tickets, look up records, and update statuses without human intervention

Gem MCP Tools for OpenAI Agents SDK (12)

These 12 tools become available when you connect Gem to OpenAI Agents 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK

Common issues when connecting Gem to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Gem + OpenAI Agents SDK FAQ

Common questions about integrating Gem MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.