Connect
Optimize
Secure
Live 30 Actions
PrismHR MCP Server
for AI Agents
Connect your AI agent to StackOne's PrismHR MCP server and give it 30 MCP tools out of the box. Auth, tool execution, and security all managed.
PrismHR MCP Server
Built by 
StackOne
StackOne 
Coverage
30 Agent Actions
Create, read, update, and delete across PrismHR — and extend your agent's capabilities with custom actions.
Authentication
Agent Tool Authentication
Per-user OAuth in one call. Your PrismHR MCP server gets session-scoped tokens with zero credentials stored on your infra.
Agent Auth →
Security
Agent Protection
Every PrismHR 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 PrismHR call.
Tools Discovery →What is the PrismHR MCP Server?
A PrismHR MCP server lets AI agents read and write PrismHR data through the Model Context Protocol — Anthropic's open standard for connecting LLMs to external tools. StackOne's PrismHR MCP server ships with 30 pre-built actions, fully extensible via the Connector Builder — plus managed authentication, prompt injection defense, observability, and agent execution runtime. Connect it from MCP clients like Claude Desktop, Claude Code, Cursor, Goose, and VS Code, or from agent frameworks like OpenAI Agents SDK, LangChain, and Vercel AI SDK.
All PrismHR MCP Tools
Every action from PrismHR's API, ready for your agent. Create, read, update, and delete — scoped to exactly what you need.
Client Masters
- Create Client Master
Create a new client/company record in PrismHR
- Get Client Master
Retrieve detailed information for a specific client/company
Client Location Details
- Get Client Location Details
Retrieve worksite location details for a client/company
- Set Client Location Details
Create or update a worksite location for a client/company
Other (26)
- Get Employee List
Retrieve a list of employee IDs for a specific client company
- Get Employee
Retrieve detailed information for one or more employees by their IDs
- Get History
Retrieve pay rate changes, position changes, leaves, and status changes for an employee
- Get Employee Events
Retrieve events for a specific employee
- Get User Defined Fields
Retrieve user-defined custom field definitions and values
- Get Client List
Retrieve a list of all client/company IDs, names, and statuses
- Get All Prism Client Contacts
Retrieve all contacts for a specified client/company
- Get Employee List By Entity
Retrieve employee lists grouped by organizational entity for a client
- Get Active Benefit Plans
Retrieve active benefit plan enrollment information for an employee
- Get Group Benefit Plan
Retrieve details for a specific group benefit plan
- Get Dependents
Retrieve dependent information for a specified employee
- Get Retirement Plan List
Retrieve retirement benefit plans for a client
- Get Paid Time Off
Retrieve employee PTO register/balance information
- Get PTO Requests List
Retrieve PTO/leave requests for employees in a client
- Get Batch List By Date
Retrieve payroll batch list by date range for a client
- Get Batch Info
Retrieve detailed information for a specific payroll batch
- Get Pay Group Details
Retrieve pay group details for a client
- Get Payroll Schedule
Retrieve pay group and pay schedule information for a client
- Get Employer Details
Retrieve data for all employers in the system or a specific employer
- Update Employee Fields
Update individual fields on an employee record without requiring a checksum
- Update Address Info
Update an employee's home address, W-2 address, and alternate address
- Update Employee Status Type
Change an employee's employment status and/or type
- Terminate Employee
Terminate an employee's employment
- Rehire Employee
Rehire a previously terminated employee
- Request PTO
Create a planned time off request for an employee
- Approve Or Deny PTO Request
Approve, deny, or cancel an employee PTO request
PrismHR AI Agent Use Cases
Connect your AI agent to PrismHR and help your team scale the HR operations they run by hand today.
Employee Onboarding
Use StackOne to connect your AI agent to your HRIS, identity management, and LMS to automate employee onboarding.
View HR Policy Q&A Chatbot
Use StackOne to connect your AI agent to your HRIS, knowledge base, and messaging tools to automate HR policy Q&A.
View Employee Offboarding
Use StackOne to connect your AI agent to your HRIS, identity management, and ITSM to automate employee offboarding and deprovisioning.
ViewSet Up Your PrismHR MCP Server in Minutes
One endpoint. Any framework. Your agent is talking to PrismHR in under 10 lines of code.
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>"
]
}
}
}Check More hr-workforce MCP Servers
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ADP Workforce Now
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44+ actions
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Platform 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
MCP vs A2A: Architecture, Security, and When to Use Each
MCP vs A2A: what each protocol standardizes, how they differ, their shared security risks including indirect prompt injection, and when to use one, both, or a hybrid architecture.
12 min
MCP vs API: What 200+ Connector Builds Taught Us
MCP wraps APIs, it doesn't replace them. After building 200+ connectors that serve both, here's when each approach wins.
14 min read
PrismHR MCP Server FAQ
Does StackOne have a PrismHR MCP server?
Yes. StackOne offers a hosted PrismHR MCP server with 30 pre-built actions, and every action is tested and QA'd by StackOne. Connect it to Claude, Cursor, and any other MCP client, or to any agent framework through the AI Action SDK. It ships with managed agent authentication, prompt injection defense, and tool discovery with server-side execution that preserve your agent's context window and keep reasoning performance.
PrismHR MCP server vs direct API integration — what's the difference?
A PrismHR MCP server and direct API integration serve different use cases. Direct API integration is for software-to-software — backend code calling PrismHR. A PrismHR 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 PrismHR at runtime. StackOne provides both.
How does PrismHR authentication work for AI agents?
PrismHR 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 PrismHR account; StackOne handles token exchange, storage, and refresh. Credentials never reach the LLM, and each user is isolated via
origin_owner_id.Are PrismHR MCP tools vulnerable to prompt injection?
Yes — PrismHR 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 PrismHR agent and how do I avoid it?
Context bloat happens when PrismHR tool schemas and API responses eat your PrismHR agent's memory, preventing it from reasoning effectively. A single PrismHR 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 PrismHR agent can access?
Yes — you can limit which actions your PrismHR 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 PrismHR MCP server?
Yes — you can create custom agent actions for your PrismHR MCP server using Connector Builder. It's an integration agent your coding assistant (Claude Code, Cursor, or Copilot) can invoke to research PrismHR's API, generate production-ready connector YAML, test against the live API, and validate before you ship.
When should I NOT use a PrismHR MCP server?
Skip a PrismHR MCP server if your integration is purely software-to-software — direct PrismHR 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 PrismHR actions at runtime.
What AI frameworks and AI clients does the StackOne PrismHR MCP server support?
The StackOne PrismHR 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.