How do I find my Client ID and Secret?

You must contact your Paylocity Account Manager or the Paylocity Web Services team to request API credentials. They will provide the Client ID and Client Secret for the WebLink API.

Where do I get the Company ID?

Your Company ID is the unique identifier for your organization in Paylocity, typically a 5 or 6 digit number used when logging into the Paylocity portal.

Can I see an employee's direct deposit setup?

Yes! Use the `get_employee_direct_deposit` tool with an Employee ID to retrieve the configured bank accounts and distribution settings.

Paylocity MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Paylocity
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Paylocity through the 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({
        "paylocity": {
            "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 Paylocity, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

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High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

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 Paylocity MCP Server

Connect your Paylocity account to any AI agent and take full control of your HR and payroll administration through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Paylocity through native MCP adapters. Connect 10 tools via the 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.

What you can do

Workforce Visibility — List all employees and retrieve detailed profiles, including contact info and job metadata.
Earnings & Deductions Tracking — Inspect specific earning codes and deduction setups for any employee.
Onboarding Oversight — List employees currently in the onboarding process to track hiring progress.
Payroll Auditing — Retrieve local tax configurations, direct deposit settings, and benefit setups to ensure compliance.
Custom Data Retrieval — Access custom fields defined in your Paylocity environment for specific reporting needs.

The Paylocity MCP Server exposes 10 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 Paylocity to LangChain via MCP

Follow these steps to integrate the Paylocity 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 10 tools from Paylocity via MCP

Why Use LangChain with the Paylocity MCP Server

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

The largest ecosystem of integrations, chains, and agents — combine Paylocity 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 Paylocity queries for multi-turn workflows

Paylocity + LangChain Use Cases

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

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

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

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

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

Paylocity MCP Tools for LangChain (10)

These 10 tools become available when you connect Paylocity to LangChain via MCP:

get_employee

Get details for a specific employee

get_employee_benefit_setup

Get benefit configuration for an employee

get_employee_custom_fields

Get custom field values for an employee

get_employee_deductions

Get deduction details for an employee

get_employee_direct_deposit

Get direct deposit setup for an employee

get_employee_earnings

Get earning details for an employee

get_employee_emergency_contacts

Get emergency contacts for an employee

get_employee_local_taxes

Get local tax setup for an employee

list_employees

List all employees in the company

list_onboarding_employees

List employees currently in onboarding

Example Prompts for Paylocity in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Paylocity immediately.

"List all employees in our company."

"Show me the earnings and deductions for employee 12345."

"Who is currently in the onboarding process?"

Troubleshooting Paylocity MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Paylocity + LangChain FAQ

Common questions about integrating Paylocity 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.