HrFlow.ai MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add HrFlow.ai as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="hrflowai_agent",
tools=tools,
system_message=(
"You help users with HrFlow.ai. "
"10 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 HrFlow.ai MCP Server
Empower your AI agents with HrFlow.ai's advanced talent acquisition capabilities. This MCP server allows you to parse resumes, search profiles and jobs with semantic filters, score candidates against job descriptions, and ask natural language questions about profiles. Ideal for automating recruitment workflows with AI-driven insights.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use HrFlow.ai tools. Connect 10 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.
The HrFlow.ai MCP Server exposes 10 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 HrFlow.ai to AutoGen via MCP
Follow these steps to integrate the HrFlow.ai 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 10 tools from HrFlow.ai automatically
Why Use AutoGen with the HrFlow.ai MCP Server
AutoGen provides unique advantages when paired with HrFlow.ai through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use HrFlow.ai tools to solve complex tasks
Role-based architecture lets you assign HrFlow.ai 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 HrFlow.ai tool calls
Code execution sandbox: AutoGen agents can write and run code that processes HrFlow.ai tool responses in an isolated environment
HrFlow.ai + AutoGen Use Cases
Practical scenarios where AutoGen combined with the HrFlow.ai MCP Server delivers measurable value.
Collaborative analysis: one agent queries HrFlow.ai while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from HrFlow.ai, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using HrFlow.ai data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process HrFlow.ai responses in a sandboxed execution environment
HrFlow.ai MCP Tools for AutoGen (10)
These 10 tools become available when you connect HrFlow.ai to AutoGen via MCP:
ask_profile
Asks a natural language question about a specific profile
list_boards
Lists job boards
list_jobs
Lists jobs stored in HrFlow boards
list_profiles
Lists candidate profiles stored in HrFlow
list_sources
Lists profile sources
parse_profile
Parses a resume file into a structured profile
score_profiles
Scores candidate profiles against a specific job
search_jobs
Searches for jobs with semantic filters
search_profiles
Searches for profiles with semantic filters
unfold_profile
Analyzes and unfolds the career path of a profile
Example Prompts for HrFlow.ai in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with HrFlow.ai immediately.
"List the last 5 profiles added to my HrFlow source."
"Ask profile key 'abc-123' if they have experience with Kubernetes."
"Find jobs that match candidate 'john-doe-key'."
Troubleshooting HrFlow.ai MCP Server with AutoGen
Common issues when connecting HrFlow.ai to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"HrFlow.ai + AutoGen FAQ
Common questions about integrating HrFlow.ai MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect HrFlow.ai 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 HrFlow.ai to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.