Greenhouse MCP Server for AutoGenGive AutoGen instant access to 12 tools to Advance Application, Create Candidate, Get Api Status, and more
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.
Ask AI about this App Connector for AutoGen
The Greenhouse app connector for AutoGen is a standout in the Productivity category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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_alternative_agent",
tools=tools,
system_message=(
"You help users with Greenhouse. "
"12 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(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 Greenhouse MCP Server
Connect your Greenhouse account to any AI agent and take full control of your hiring pipeline and recruitment workflows 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 Orchestration — List and manage candidate records programmatically, including contact info, current company, and professional titles
- Application Lifecycle — Monitor job applications and take immediate action by advancing candidates to the next stage or marking rejections with reasons
- Job Management — Access detailed metadata for all active job openings, including hiring teams and department structures
- Organizational Visibility — Retrieve complete company department lists and office locations to coordinate recruitment logistics
- System Monitoring — Check API connectivity and Harvest API status directly through your agent for reliable data operations
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.
All 12 Greenhouse tools available for AutoGen
When AutoGen connects to Greenhouse through Vinkius, your AI agent gets direct access to every tool listed below — spanning candidate-tracking, hiring-pipeline, talent-acquisition, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Move candidate to next stage
Can include first name, last name, and company. Add new candidate
Get account connectivity
Get candidate info
Get job metadata
List job applications
List recruitment candidates
List company departments
List office locations
List active job openings
Requires a reason ID. Reject job application
Modify candidate info
Connect Greenhouse to AutoGen via MCP
Follow these steps to wire Greenhouse into AutoGen. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install AutoGen
pip install "autogen-ext[mcp]"Replace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenIntegrate into workflow
Explore tools
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
Example Prompts for Greenhouse in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Greenhouse immediately.
"Find candidate with email 'candidate@example.com' and show their status."
"List all active job openings for the 'Engineering' department."
"Advance application ID 'app_987' to the next stage."
Troubleshooting Greenhouse MCP Server with AutoGen
Common issues when connecting Greenhouse to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Greenhouse + AutoGen FAQ
Common questions about integrating Greenhouse MCP Server with AutoGen.