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Staffology HR MCP Server
for AI Agents

Production-ready Staffology HR MCP server with 46 extensible actions — plus built-in authentication, security, and optimized execution.

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Staffology HR MCP Server
Built by StackOne StackOne

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46 Agent Actions

Create, read, update, and delete across Staffology HR — and extend your agent's capabilities with custom actions.

Authentication

Agent Tool Authentication

Per-user OAuth in one call. Your Staffology HR MCP server gets session-scoped tokens with zero credentials stored on your infra.

Agent Auth →

Security

Agent Protection

Every Staffology HR tool response scanned for prompt injection in milliseconds — 88.7% accuracy, all running on CPU.

Prompt Injection Defense →

Performance

Max Agent Context. Min Cost.

Free up to 96% of your agent's context window to enhance reasoning and reduce cost, on every Staffology HR call.

Tools Discovery →

What is the Staffology HR MCP Server?

A Staffology HR MCP server lets AI agents read and write Staffology HR data through the Model Context Protocol — Anthropic's open standard for connecting LLMs to external tools. StackOne's Staffology HR MCP server ships with 46 pre-built actions, fully extensible via the Connector Builder — plus managed authentication, prompt injection defense, and optimized agent context. Connect it from MCP clients like Claude Desktop, Cursor, and VS Code, or from agent frameworks like OpenAI Agents SDK, LangChain, and Vercel AI SDK.

All Staffology HR MCP Tools and Actions

Every action from Staffology HR's API, ready for your agent. Create, read, update, and delete — scoped to exactly what you need.

Employees

  • Create Employee

    Create a new employee record with personal and contract information

  • Get Employee

    Retrieve a specific employee by ID

  • Update Employee

    Update an existing employee record with personal and contract information

Company Datas

  • Get Company Data

    Retrieve company information and settings

  • Update Company Data

    Update company information and settings

Expenses

  • Create Expense

    Create a new expense record

  • Get Expense

    Retrieve a specific expense by ID

  • Update Expense

    Update an existing expense record

  • Delete Expense

    Delete an expense record

Time Entrys

  • Create Time Entry

    Create a new time tracking entry

  • Get Time Entry

    Retrieve a specific time entry by ID

  • Update Time Entry

    Update an existing time entry

  • Delete Time Entry

    Delete a time entry

Time Breaks

  • Create Time Break

    Add a break to a time entry

  • Get Time Break

    Retrieve a specific time break by ID

  • List Time Breaks

    Get all breaks for a time entry

  • Update Time Break

    Update an existing time break

  • Delete Time Break

    Delete a time break

Time Files

  • Create Time File

    Attach a file to a time entry

  • Get Time File

    Retrieve a time file attachment

  • List Time Files

    Get all files attached to a time entry

  • Delete Time File

    Delete a time file attachment

Lookups

  • Create Lookup

    Create a new lookup value

  • Update Lookup

    Update an existing lookup value

  • Delete Lookup

    Delete a lookup value

Document Links

  • Get Document Link

    Retrieve a document link by ID

  • Delete Document Link

    Delete a document link

Other (19)

  • Send Invitation Emails

    Send invitation emails to new employees

  • List Employees (Paginated)

    Retrieve paginated list of employees

  • Get Employee Numbers

    Get employee numbers for all employees

  • Get Pending Approvals

    Get list of pending approvals by type

  • Get Approval History

    Get request/approval history for a specific item

  • List Employee Expenses By Submission

    Get expenses for an employee by submission ID

  • List Expense Submissions

    Get expense submissions for an employee

  • List Employee Time Entries By Submission

    Get time entries for an employee by submission ID

  • List Time Submissions

    Get time submissions for an employee

  • List Employee Payslips By Tax Year

    Get all payslips for an employee in a tax year

  • Get Employee Payslip By ID

    Get a specific payslip by employee, tax year, and payslip ID

  • Get Employee Payslip By Tax Period

    Get payslip by employee, tax year, and tax period

  • List Lookups By Type

    Get paginated list of lookup values by type

  • List Lookup Types

    Get all available lookup types

  • List Lookups By Types Filter

    Get lookups filtered by multiple types

  • Get Employee Calendar By Year

    Get calendar events for an employee by year

  • Get Employee Calendar By Date Range

    Get calendar events for an employee by date range

  • Submit Time Entries

    Submit time entries for approval

  • Reprocess Declined Time Entries

    Reprocess time entries that were declined

Set Up Your Staffology HR MCP Server in Minutes

One endpoint. Any framework. Your agent is talking to Staffology HR in under 10 lines of code.

MCP Clients

Agent Frameworks

Claude Desktop
{
  "mcpServers": {
    "stackone": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote@latest",
        "https://api.stackone.com/mcp?x-account-id=<account_id>",
        "--header",
        "Authorization: Basic <YOUR_BASE64_TOKEN>"
      ]
    }
  }
}

More HRIS / HCM MCP Servers

UKG Ready

140+ actions

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Oracle Fusion HCM

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Humaans

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BambooHR

100+ actions

Staffology HR MCP Server FAQ

Staffology HR MCP server vs direct API integration — what's the difference?
A Staffology HR MCP server and direct API integration serve different use cases. Direct API integration is for software-to-software — backend code calling Staffology HR. A Staffology HR MCP server is for AI agents — MCP clients like Claude and Cursor, plus framework agents built with OpenAI, LangChain, or Vercel AI — discovering and calling Staffology HR at runtime. StackOne provides both.
How does Staffology HR authentication work for AI agents?
Staffology HR authentication for AI agents works through a StackOne Connect Session. Create one via the dashboard or the SDK — you get an auth link and ready-to-paste config for Claude Desktop, Cursor, and other MCP clients. Your user authenticates their own Staffology HR account; StackOne handles token exchange, storage, and refresh. Credentials never reach the LLM, and each user is isolated via origin_owner_id.
Are Staffology HR MCP tools vulnerable to prompt injection?
Yes — Staffology HR MCP tools can be vulnerable to indirect prompt injection. Any tool that reads user-written content — documents, messages, tickets, records, or free-text fields — is a potential vector. StackOne Defender scans every tool response before it enters the agent's context — regex patterns in ~1ms, then a MiniLM classifier in ~4ms. 88.7% accuracy, CPU-only.
What is the context bloat of a Staffology HR agent and how do I avoid it?
Context bloat happens when Staffology HR tool schemas and API responses eat your Staffology HR agent's memory, preventing it from reasoning effectively. A single Staffology HR query can return a massive JSON response, and connecting multiple tools compounds the problem. Tools Discovery and Code Mode reduce context bloat — loading only relevant tools per query and keeping raw responses out of the agent's context.
Can I limit which actions my Staffology HR agent can access?
Yes — you can limit which actions your Staffology HR agent can access directly from the StackOne dashboard. Toggle actions on or off, or restrict them to specific accounts, with no code changes to your agent. Session tokens can be scoped to exact actions so if one leaks, exposure stays contained.
Can I create custom agent actions for my Staffology HR MCP server?
Yes — you can create custom agent actions for your Staffology HR MCP server using Connector Builder. It's an integration agent your coding assistant (Claude Code, Cursor, or Copilot) can invoke to research Staffology HR's API, generate production-ready connector YAML, test against the live API, and validate before you ship.
When should I NOT use a Staffology HR MCP server?
Skip a Staffology HR MCP server if your integration is purely software-to-software — direct Staffology HR API integration is simpler when no AI agent is involved. For deterministic, compliance-critical operations (financial transactions, regulatory reporting), direct API gives you predictable behavior without agent-driven decision-making. MCP shines when AI agents need to dynamically discover and call Staffology HR actions at runtime.
What AI frameworks and AI clients does the StackOne Staffology HR MCP server support?
The StackOne Staffology HR MCP server supports both. MCP clients (paste-and-go apps): Claude Desktop, Claude Code, Cursor, VS Code, Goose. Agent frameworks (code SDKs you build with): OpenAI Agents SDK, Anthropic, Vercel AI, Google ADK, CrewAI, Pydantic AI, LangChain, LangGraph, Azure AI Foundry.

Put your AI agents to work

All the tools you need to build and scale AI agent integrations, with best-in-class connectivity, execution, and security.