Can my agent list all candidates for a specific job in Greenhouse?

Yes. Use the 'list_candidates' tool with the 'job_id' parameter. The agent will fetch all candidates associated with that specific opening flawlessly.

How do I check the current hiring stage of an applicant via chat?

You can use the 'get_application' tool. Provide the Application ID, and the agent will return the full details, including the candidate's current stage in the hiring process natively.

Can I search for candidates who were added recently through the agent?

Absolutely. Use the 'list_candidates' tool with sorting or filtering parameters like 'created_after'. Your agent will retrieve the most recent additions to your Greenhouse database natively.

Greenhouse MCP Server for AutoGen 12 tools — connect in under 2 minutes

Name: Greenhouse
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 12 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Greenhouse as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

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 autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="greenhouse_agent",
            tools=tools,
            system_message=(
                "You help users with Greenhouse. "
                "12 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

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 Greenhouse MCP Server

Connect your Greenhouse Recruiting account to any AI agent and take control of your talent acquisition pipeline through natural conversation.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Greenhouse tools. Connect 12 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

What you can do

Candidate Oversight — List all candidates in your system and retrieve specific profile details natively
Pipeline Tracking — Monitor job applications and their current statuses across your active hiring processes flawlessly
Job Management — List and inspect job configurations, including hiring stages and department mappings synchronously
Team Coordination — Retrieve office and department structures to ensure your hiring data is aligned with organizational goals
User Auditing — List and verify user roles and access levels within your Greenhouse workspace natively

The Greenhouse MCP Server exposes 12 tools through the Vinkius. Connect it to AutoGen 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 Greenhouse to AutoGen via MCP

Follow these steps to integrate the Greenhouse MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 12 tools from Greenhouse automatically

Why Use AutoGen with the Greenhouse MCP Server

AutoGen provides unique advantages when paired with Greenhouse through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Greenhouse tools to solve complex tasks

Role-based architecture lets you assign Greenhouse tool access to specific agents. a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive Greenhouse tool calls

Code execution sandbox: AutoGen agents can write and run code that processes Greenhouse tool responses in an isolated environment

Greenhouse + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Greenhouse MCP Server delivers measurable value.

Collaborative analysis: one agent queries Greenhouse while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from Greenhouse, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using Greenhouse data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process Greenhouse responses in a sandboxed execution environment

Greenhouse MCP Tools for AutoGen (12)

These 12 tools become available when you connect Greenhouse to AutoGen via MCP:

create_candidate

Create a new candidate profile

get_application

Get details for a specific application

get_candidate

Get details for a specific candidate

get_job

Get details for a specific job

get_user

Get details for a specific user

list_applications

Retrieve job applications

list_candidates

List all candidates in Greenhouse

list_departments

List company departments

list_job_stages

List hiring stages for a specific job

list_jobs

List jobs in Greenhouse

list_offices

List company offices

list_users

List Greenhouse users

Example Prompts for Greenhouse in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with Greenhouse immediately.

"List my active jobs in Greenhouse"

"Show me the profile for candidate ID 93021"

"What are the hiring stages for the 'Product Designer' job?"

Troubleshooting Greenhouse MCP Server with AutoGen

Common issues when connecting Greenhouse to AutoGen through the Vinkius, and how to resolve them.

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Greenhouse + AutoGen FAQ

Common questions about integrating Greenhouse MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Greenhouse tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.