Finch MCP Server for OpenAI Agents SDK 11 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Finch through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="Finch Assistant",
instructions=(
"You help users interact with Finch. "
"You have access to 11 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Finch"
)
print(result.final_output)
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.
The OpenAI Agents SDK auto-discovers all 11 tools from Finch through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Finch, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 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 Finch to OpenAI Agents SDK via MCP
Follow these steps to integrate the Finch 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 11 tools from Finch
Why Use OpenAI Agents SDK with the Finch MCP Server
OpenAI Agents SDK provides unique advantages when paired with Finch 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
Finch + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Finch MCP Server delivers measurable value.
Automated workflows: build agents that query Finch, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Finch, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Finch tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Finch to resolve tickets, look up records, and update statuses without human intervention
Finch MCP Tools for OpenAI Agents SDK (11)
These 11 tools become available when you connect Finch to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Finch to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Finch + OpenAI Agents SDK FAQ
Common questions about integrating Finch MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Finch 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 Finch to OpenAI Agents SDK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.
