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CatalystOne MCP Server
for AI Agents

Connect your AI agent to StackOne's CatalystOne MCP server and give it 36 MCP tools out of the box. Auth, tool execution, and security all managed.

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CatalystOne MCP Server
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36 Agent Actions

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

MCP Actions → Build Actions →

Authentication

Agent Tool Authentication

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

Agent Auth →

Security

Agent Protection

Every CatalystOne 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 CatalystOne call.

Tools Discovery →

What is the CatalystOne MCP Server?

A CatalystOne MCP server lets AI agents read and write CatalystOne data through the Model Context Protocol — Anthropic's open standard for connecting LLMs to external tools. StackOne's CatalystOne MCP server ships with 36 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 CatalystOne MCP Tools

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

HRDP Users

  • List HRDP Users

    Get all users from HR Driven Provisioning

  • Get HRDP User

    Query a single user by ID from HR Driven Provisioning

HRDP Groups

  • List HRDP Groups

    Retrieve all groups from HR Driven Provisioning

  • Get HRDP Group

    Get a single group by ID from HR Driven Provisioning

HRDP Schemas

  • List HRDP Schemas

    Get list of all supported SCIM schemas

  • Get HRDP Schema

    Get an individual SCIM schema by ID

Performance Reviews

  • List Performance Reviews

    Retrieve reviews with optional filters

  • Get Performance Review

    Retrieve a single review by ID

Projects

  • Create Project

    Create a new project in the repository

  • List Projects

    Retrieve all projects

  • Get Project

    Retrieve a specific project by its ID

  • Update Project

    Update an existing project

SCIM Users

  • List SCIM Users

    Query users via SCIM standard interface

  • Get SCIM User

    Query a single SCIM user by ID

SCIM Groups

  • List SCIM Groups

    Retrieve all SCIM groups

  • Get SCIM Group

    Get a single SCIM group by ID

SCIM Schemas

  • List SCIM Schemas

    Get list of all supported SCIM schemas

  • Get SCIM Schema

    Get an individual SCIM schema

Other (18)

  • Get Me

    Get personal details of the authenticated user

  • Get Me Account

    Get account details for the authenticated user

  • Get Me Job

    Get job information for the authenticated user's selected profile

  • Get Me Photo

    Get profile photo metadata for the authenticated user

  • Get Me Photo Content

    Get profile photo binary for the authenticated user

  • Get Me Manager

    Get the authenticated user's direct manager

  • Get Me Organization

    Get the organization the authenticated user is assigned to

  • List Project Categories

    Retrieve all project categories

  • Get Project Category

    Retrieve a specific project category by ID

  • Get SCIM Service Provider Config

    Get SCIM Service Provider Configuration

  • Get Person

    Get another person's details, masked to the caller's visibility

  • Get Person Job

    Get the target person's job information

  • Get Person Photo

    Get profile photo metadata for the target person

  • Get Person Photo Content

    Get profile photo binary for the target person

  • Get Person Manager

    Get the target person's direct manager

  • Get Person Organization

    Get the organization the target person is assigned to

  • Update HRDP User Credentials

    Update a user's account credentials (username and email)

  • Lookup Person

    Resolve a known identifier (email or employee ID) to the matching person(s)

CatalystOne AI Agent Use Cases

Connect your AI agent to CatalystOne 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.

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WorkdayBambooHRPersonioHiBobGustoRipplingOkta360Learning
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
WorkdayBambooHRPersonioHiBobGustoRipplingSharePointConfluence
Employee Offboarding

Use StackOne to connect your AI agent to your HRIS, identity management, and ITSM to automate employee offboarding and deprovisioning.

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WorkdayBambooHRPersonioOktaServiceNowRipplingGustoJira
More HRIS & HCM use cases

Set Up Your CatalystOne MCP Server in Minutes

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

MCP Clients

Claude Desktop setup guide
Claude Code setup guide
Cursor setup guide
Goose setup guide

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>"
      ]
    }
  }
}

Check More hr-workforce MCP Servers

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51+ actions

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50+ actions

ClayHR

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KiwiHR

44+ actions

PrismHR

30+ actions

All hr-workforce MCP Servers →

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

CatalystOne MCP Server FAQ

Does StackOne have a CatalystOne MCP server?
Yes. StackOne offers a hosted CatalystOne MCP server with 36 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.
CatalystOne MCP server vs direct API integration — what's the difference?
A CatalystOne MCP server and direct API integration serve different use cases. Direct API integration is for software-to-software — backend code calling CatalystOne. A CatalystOne 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 CatalystOne at runtime. StackOne provides both.
How does CatalystOne authentication work for AI agents?
CatalystOne 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 CatalystOne account; StackOne handles token exchange, storage, and refresh. Credentials never reach the LLM, and each user is isolated via origin_owner_id.
Are CatalystOne MCP tools vulnerable to prompt injection?
Yes — CatalystOne 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 CatalystOne agent and how do I avoid it?
Context bloat happens when CatalystOne tool schemas and API responses eat your CatalystOne agent's memory, preventing it from reasoning effectively. A single CatalystOne 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 CatalystOne agent can access?
Yes — you can limit which actions your CatalystOne 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 CatalystOne MCP server?
Yes — you can create custom agent actions for your CatalystOne MCP server using Connector Builder. It's an integration agent your coding assistant (Claude Code, Cursor, or Copilot) can invoke to research CatalystOne's API, generate production-ready connector YAML, test against the live API, and validate before you ship.
When should I NOT use a CatalystOne MCP server?
Skip a CatalystOne MCP server if your integration is purely software-to-software — direct CatalystOne 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 CatalystOne actions at runtime.
What AI frameworks and AI clients does the StackOne CatalystOne MCP server support?
The StackOne CatalystOne 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.

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