Finch MCP Server for AutoGen 11 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Finch 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="finch_agent",
tools=tools,
system_message=(
"You help users with Finch. "
"11 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 Finch MCP Server
Finch is the unified API for HRIS and payroll. This MCP server allows your AI agent to interact with various HR and payroll providers through a single integration flawlessly.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Finch tools. Connect 11 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.
Key Features
- Directory Orchestration — List all employees in the connected organization and fetch detailed profiles natively.
- Employment Intelligence — Retrieve granular employment data including job titles, departments, and compensation flawlessly.
- Payroll Transparency — Access pay groups and individual pay statements to monitor payroll data synchronously.
- Connection Introspection — Check the status, provider, and authorized permissions for any connection flawlessly native.
- Automated Job Tracking — Monitor data sync jobs to ensure your HRIS data is always up to date flawlessly through the agent.
- Provider Discovery — List all supported HRIS and payroll providers to verify integration compatibility flawlessly.
The Finch MCP Server exposes 11 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 Finch to AutoGen via MCP
Follow these steps to integrate the Finch 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 11 tools from Finch automatically
Why Use AutoGen with the Finch MCP Server
AutoGen provides unique advantages when paired with Finch through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Finch tools to solve complex tasks
Role-based architecture lets you assign Finch 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 Finch tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Finch tool responses in an isolated environment
Finch + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Finch MCP Server delivers measurable value.
Collaborative analysis: one agent queries Finch while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Finch, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Finch data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Finch responses in a sandboxed execution environment
Finch MCP Tools for AutoGen (11)
These 11 tools become available when you connect Finch to AutoGen via MCP:
get_automated_job
Get details for a specific automated job
get_company
Get organization data (legal name, EIN, primary address)
get_employment
Get employment data for an individual (title, salary, department, etc.)
get_individual
Get personal data for an individual (name, email, SSN, etc.)
get_me
Get details for the authorized application/user connection
introspect
Check the status and permissions of the current connection
list_automated_jobs
List automated data sync jobs
list_directory
Read the employee directory for the connected organization
list_pay_groups
List pay groups for the organization
list_pay_statements
List pay statements for a specific payment ID
list_supported_providers
List all HRIS/Payroll providers supported by Finch
Example Prompts for Finch in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Finch immediately.
"List all employees in the directory."
"Check the status of my connection to Gusto."
"List pay statements for payment ID pmt_123."
Troubleshooting Finch MCP Server with AutoGen
Common issues when connecting Finch to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Finch + AutoGen FAQ
Common questions about integrating Finch 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 Finch with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
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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 Finch to AutoGen
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.