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BreezyHR MCP Server
for AI Agents

Production-ready BreezyHR MCP server with 47 extensible actions — plus built-in authentication, security, and optimized execution.

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BreezyHR MCP Server
Built by StackOne StackOne

Coverage

47 Agent Actions

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

MCP Actions → Create Actions →

Authentication

Agent Tool Authentication

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

Agent Auth →

Security

Agent Protection

Every BreezyHR 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 BreezyHR call.

Tools Discovery →

What is the BreezyHR MCP Server?

A BreezyHR MCP server lets AI agents read and write BreezyHR data through the Model Context Protocol — Anthropic's open standard for connecting LLMs to external tools. StackOne's BreezyHR MCP server ships with 47 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 BreezyHR MCP Tools and Actions

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

Candidate Custom Attributes

  • Add Candidate Custom Attribute

    Add a custom attribute to a candidate

  • Get Candidate Custom Attributes

    Get custom attribute definitions for candidates in a company

Position Custom Fields

  • Get Position Custom Fields

    Get custom field values for a position

  • Update Position Custom Field

    Update a specific custom field value for a position

Candidates

  • Create Candidate

    Add a new candidate to a position

  • Update Candidate

    Update candidate information

Candidate Custom Fields

  • Get Candidate Custom Fields

    Get custom field values for a candidate

  • Update Candidate Custom Field

    Update a specific custom field value for a candidate

Other (39)

  • Create A New Position

    Create a new job position

  • Add Note To Candidate Stream

    Add a note to candidate's discussion stream

  • Send Message To Candidate

    Add a new conversation message for the candidate

  • Add Candidate Education Entry

    Add an education entry to a candidate

  • Add Candidate Work History Entry

    Add a work history entry to a candidate

  • Send Questionnaire To Candidate

    Create a new questionnaire for a candidate

  • Get User

    Get information about the authenticated user or another user by ID

  • Get User Details

    Get detailed information about the currently authenticated user

  • List Companies

    Get all companies accessible to the authenticated user

  • Get Company Details

    Get detailed information about a specific company

  • Get Position Custom Attributes

    Get custom attribute definitions for positions in a company

  • List All Positions

    Get all positions/jobs for the company

  • Get A Specific Position

    Get details of a specific position by ID

  • Get Position Activity Stream

    Get activity stream for a position

  • Get Position Team Members

    Get team members assigned to a position

  • List Position Candidates

    Get all candidates for a specific position with abbreviated candidate objects

  • Search Candidates By Email

    Retrieve all candidates with entered email address across all positions

  • Get Candidate Details

    Get detailed information about a specific candidate

  • Get Candidate Activity Stream

    Get activity stream/timeline for a candidate

  • Get Candidate Metadata

    Get metadata information for a candidate

  • Get Candidate Resume

    Get the resume file for a candidate

  • Get Candidate Documents

    Get all documents attached to a candidate

  • Get Candidate Conversation

    Get email conversation thread for a candidate

  • Get Candidate Questionnaires

    Get questionnaires submitted by a candidate

  • Get Candidate Assessments

    Get assessment results for a candidate

  • Get Candidate Background Checks

    Get background check results for a candidate

  • List Pipelines

    Get all hiring pipelines for a company

  • Get Pipeline Details

    Get details of a specific hiring pipeline

  • List Questionnaires

    Get all questionnaires for a company

  • Get Questionnaire Details

    Get details of a specific questionnaire

  • List Templates

    Get all email and message templates for a company

  • Get Template Details

    Get details of a specific email or message template

  • Update A Position

    Update an existing position

  • Update Position State

    Update the state of a position (draft, published, closed, archived)

  • Move Candidate To Another Position

    Move a candidate from one position to another

  • Update Candidate Stage

    Move candidate to a different stage in the hiring pipeline

  • Update Candidate Scorecard

    Update scorecard/evaluation for a candidate

  • Update Questionnaire Response

    Update or submit questionnaire responses for a candidate

  • Sign Out

    Sign out the current user and invalidate the access token

Set Up Your BreezyHR MCP Server in Minutes

One endpoint. Any framework. Your agent is talking to BreezyHR 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 Recruiting MCP Servers

JobAdder

246+ actions

Vincere

206+ actions

SmartRecruiters

164+ actions

Ashby

137+ actions

Factorial

127+ actions

HiBob

123+ actions

HiBob (with Webhooks)

123+ actions

All Recruiting MCP Servers →

BreezyHR 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

BreezyHR MCP Server FAQ

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