Connect
Optimize
Secure
Sage HR MCP Server
for AI Agents
Production-ready Sage HR MCP server with 35 extensible actions — plus built-in authentication, security, and optimized execution.
Sage HR MCP Server
Built by 
StackOne
StackOne 
Coverage
35 Agent Actions
Create, read, update, and delete across Sage HR — and extend your agent's capabilities with custom actions.
Authentication
Agent Tool Authentication
Per-user OAuth in one call. Your Sage HR MCP server gets session-scoped tokens with zero credentials stored on your infra.
Agent Auth →
Security
Agent Protection
Every Sage 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 Sage HR call.
Tools Discovery →What is the Sage HR MCP Server?
A Sage HR MCP server lets AI agents read and write Sage HR data through the Model Context Protocol — Anthropic's open standard for connecting LLMs to external tools. StackOne's Sage HR MCP server ships with 35 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 Sage HR MCP Tools and Actions
Every action from Sage 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 in the company.
- List Employees
Retrieve a list of all active employees in the company.
- Get Employee
Retrieve details of a specific active employee.
- Update Employee
Update an existing employee's details.
Employee Custom Fields
- Get Employee Custom Fields
Retrieve custom fields for a specific employee.
- Update Employee Custom Field
Update a custom field value for a specific employee.
Terminated Employees
- List Terminated Employees
Retrieve a list of all terminated employees.
- Get Terminated Employee
Retrieve details of a specific terminated employee.
Leave Requests
- Create Leave Request
Create a new time-off request for an employee.
- List Leave Requests
Retrieve a list of all time-off requests.
Documents
- Create Document
Upload a new document.
- List Documents
Retrieve a list of all documents.
- Get Document
Retrieve details of a specific document.
- Update Document
Update an existing document.
- Delete Document
Delete a document.
Other (20)
- Create Onboarding Task
Create a new onboarding task template.
- Create Offboarding Task
Create a new offboarding task template.
- Get Employee Compensations
Retrieve salary history for a specific employee.
- Get Employee Time Off Balances
Retrieve time-off balances for a specific employee.
- List Leave Policies
Retrieve a list of all time-off policies.
- Get Leave Policy
Retrieve details of a specific time-off policy.
- List Employees Out Of Office
Retrieve a list of employees who are out of the office.
- Get Leave Allowances Report
Retrieve individual leave allowances report.
- List Document Categories
Retrieve a list of all document categories.
- List Positions
Retrieve a list of all company positions.
- List Teams
Retrieve a list of all company teams.
- List Termination Reasons
Retrieve a list of all termination reasons.
- Get Overall Goals Progress
Retrieve overall quarterly goals progress.
- Get Company Goals Progress
Retrieve company-level quarterly goals progress.
- Get Team Goals Progress
Retrieve team-level quarterly goals progress.
- Get Individual Goals Progress
Retrieve individual-level quarterly goals progress.
- List Onboarding Categories
Retrieve a list of all onboarding task categories.
- List Offboarding Categories
Retrieve a list of all offboarding task categories.
- Terminate Employee
Terminate an employee.
- Rehire Employee
Rehire a previously terminated employee.
Set Up Your Sage HR MCP Server in Minutes
One endpoint. Any framework. Your agent is talking to Sage HR in under 10 lines of code.
MCP Clients
Agent Frameworks
JSON{
"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
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Humaans
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Sage HR MCP Server Resources
MCP Code Mode: Keeping Tool Responses Out of Agent Context
Anthropic's code_execution processes data already in context. Custom MCP code mode keeps raw tool responses in a sandbox. 14K tokens vs 500.
11 min
Comparing BM25, TF-IDF, and Hybrid Search for MCP Tool Discovery
Benchmarking BM25, TF-IDF, and hybrid search for MCP tool discovery across 916 tools. The 80/20 TF-IDF/BM25 hybrid hits 21% Top-1 accuracy in under 1ms.
10 min
Indirect Prompt Injection Defense for MCP Tools: A Technical Guide
MCP tools that read emails, CRM records, and tickets are indirect prompt injection vectors. Here's how we built a two-tier defense that scans tool results in ~11ms.
12 min
Sage HR MCP Server FAQ
Sage HR MCP server vs direct API integration — what's the difference?
A Sage HR MCP server and direct API integration serve different use cases. Direct API integration is for software-to-software — backend code calling Sage HR. A Sage 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 Sage HR at runtime. StackOne provides both.
How does Sage HR authentication work for AI agents?
Sage 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 Sage HR account; StackOne handles token exchange, storage, and refresh. Credentials never reach the LLM, and each user is isolated via
origin_owner_id.Are Sage HR MCP tools vulnerable to prompt injection?
Yes — Sage 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 Sage HR agent and how do I avoid it?
Context bloat happens when Sage HR tool schemas and API responses eat your Sage HR agent's memory, preventing it from reasoning effectively. A single Sage 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 Sage HR agent can access?
Yes — you can limit which actions your Sage 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 Sage HR MCP server?
Yes — you can create custom agent actions for your Sage HR MCP server using Connector Builder. It's an integration agent your coding assistant (Claude Code, Cursor, or Copilot) can invoke to research Sage HR's API, generate production-ready connector YAML, test against the live API, and validate before you ship.
When should I NOT use a Sage HR MCP server?
Skip a Sage HR MCP server if your integration is purely software-to-software — direct Sage 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 Sage HR actions at runtime.
What AI frameworks and AI clients does the StackOne Sage HR MCP server support?
The StackOne Sage 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.