How do I obtain a Finch Access Token?

Access tokens are generated when a user successfully completes the Finch Connect authorization flow for their specific HRIS or payroll provider.

Which HRIS providers does Finch support?

Finch supports over 200 providers including Gusto, ADP, Workday, BambooHR, and Rippling. You can use the `list_supported_providers` tool to see the full list flawlessy.

Can I see individual pay statements?

Yes! The `list_pay_statements` tool allows you to retrieve payment details for individuals if the connected organization has granted the necessary payroll permissions flawlessy.

Finch MCP Server for LangChain 11 tools — connect in under 2 minutes

Name: Finch
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 11 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Finch through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "finch": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Finch, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

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Ed25519Audit chain

<40msKill switch

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 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.

LangChain's ecosystem of 500+ components combines seamlessly with Finch through native MCP adapters. Connect 11 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Finch MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 11 tools from Finch via MCP

Why Use LangChain with the Finch MCP Server

LangChain provides unique advantages when paired with Finch through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Finch MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Finch queries for multi-turn workflows

Finch + LangChain Use Cases

Practical scenarios where LangChain combined with the Finch MCP Server delivers measurable value.

RAG with live data: combine Finch tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Finch, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Finch tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Finch tool call, measure latency, and optimize your agent's performance

Finch MCP Tools for LangChain (11)

These 11 tools become available when you connect Finch to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting Finch to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Finch + LangChain FAQ

Common questions about integrating Finch MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.