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Recruiterflow MCP Server
for AI Agents

Connect your AI agent to StackOne's Recruiterflow MCP server and give it 49 MCP tools out of the box. Auth, tool execution, and security all managed.

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Recruiterflow MCP Server
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49 Agent Actions

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

Authentication

Agent Tool Authentication

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

Agent Auth →

Security

Agent Protection

Every Recruiterflow 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 Recruiterflow call.

Tools Discovery →

What is the Recruiterflow MCP Server?

A Recruiterflow MCP server lets AI agents read and write Recruiterflow data through the Model Context Protocol — Anthropic's open standard for connecting LLMs to external tools. StackOne's Recruiterflow MCP server ships with 49 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 Recruiterflow MCP Tools

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

Find All Search Types In The Link Below.s

  • Find All Search Types In The Link Below.

    Find all search types in the link below.

  • Find All Search Types In The Link Below.

    Find all search types in the link below.

  • Find All Search Types In The Link Below.

    Find all search types in the link below.

  • Find All Search Types In The Link Below.

    Find all search types in the link below.

This API Implements A Complete Update Which Means That Any Existing Data In The Provided Key Will Be Wiped Out And Replaced With The Data Provided, In Case A Key Is Not Provided No Update Happens To It.s

  • This API Implements A Complete Update Which Means That Any Existing Data In The Provided Key Will Be Wiped Out And Replaced With The Data Provided, In Case A Key Is Not Provided No Update Happens To It.

    This API implements a complete update which means that any existing data in the provided key will be wiped out and replaced with the data provided, in case a key is not provided no update happens to it.

  • This API Implements A Complete Update Which Means That Any Existing Data In The Provided Key Will Be Wiped Out And Replaced With The Data Provided, In Case A Key Is Not Provided No Update Happens To It.

    This API implements a complete update which means that any existing data in the provided key will be wiped out and replaced with the data provided, in case a key is not provided no update happens to it.

A Placement.s

  • Create A Placement.

    Create a placement.

  • Update A Placement.

    Update a placement.

Other (41)

  • Add A Candidate Record.

    Add a candidate record.

  • Add A Candidate To A Job, Candidates Will Show Up Under The Sourced Stage

    Add a candidate to a job, candidates will show up under the Sourced stage

  • Create A New Deal.

    Create a New Deal.

  • Create A New Job.

    Create a new job.

  • Get Details Of A Particular Candidate Record

    Get details of a particular candidate record

  • Get All Scorecards For A Candidate And Job_id

    Get all scorecards for a candidate and job_id

  • Get Client Company Details For The Specified Client.

    Get client company details for the specified client.

  • Get List Of Deals

    Get a paginated list of all deals in Recruiterflow.

  • Get Details Of A Particular Deal.

    Get details of a particular deal.

  • List All Tags For Candidates And Contacts.

    List all tags for candidates and contacts.

  • Move A Candidate To A Stage In A Job

    Move a candidate to a stage in a job

  • Move A Deal To A New Stage

    Move a deal to a new stage

  • Update The Deal.

    Update the Deal.

  • This Endpoint Lists All Campaigns Created Within Recruiterflow

    This endpoint lists all campaigns created within Recruiterflow

  • Disqualify A Candidate With A Reason.

    Disqualify a candidate with a reason.

  • Fields Are The Same As The Candidate List API Above.

    Fields are the same as the candidate list API above.

  • The Endpoint Adds Notes To The Specified Candidate.

    The endpoint adds notes to the specified candidate.

  • This API Returns Scorecard Details Specified.

    This API returns scorecard details specified.

  • This Endpoint Is Used To Add Client Company.

    This endpoint is used to add client company.

  • Lists All Client Company In The Account.

    Lists all client company in the account.

  • Adds Note To The Specified Client Company

    Adds note to the specified client company

  • Updates Existing Client Company Details, Including Custom Fields

    Updates existing client company details, including custom fields

  • The Contact Endpoint Allows You To Add A Contact To Recruiterflow.

    The contact endpoint allows you to add a contact to Recruiterflow.

  • Returns The Contacts Info For The Specified Id.

    Returns the contacts info for the specified id.

  • Lists All Contacts And Their Details.

    Lists all contacts and their details.

  • The Endpoint Adds Notes To The Specified Contact.

    The endpoint adds notes to the specified contact.

  • The Jobs Endpoint Allows You To Export All Jobs-related Information From Recruiterflow.

    The jobs endpoint allows you to export all jobs-related information from Recruiterflow.

  • Close A Job In Recruiterflow

    Close a job in Recruiterflow

  • Lists All Job Departments.

    Lists all job departments.

  • Lists All Jobs In The Account.

    Lists all jobs in the account.

  • Adds Note To The Specified Job Record.

    Adds note to the specified job record.

  • Open A Job In Recruiterflow

    Open a job in Recruiterflow

  • Returns Detailed Information About A Job's Pipeline

    Returns detailed information about a job's pipeline

  • Searches Job With A Specific Filter Or Query

    Searches job with a specific filter or query

  • External API For Job Update

    External API for Job Update

  • Lists All Job Locations In The Account.

    Lists all job locations in the account.

  • Lists All Placements For Specified Job.

    Lists all placements for specified job.

  • Returns The Placement Info For Specified Placement Record.

    Returns the placement info for specified placement record.

  • Lists All Placements In The Account.

    Lists all placements in the account.

  • The User Get Endpoint Allows You To Search For A Specific User Based On Email/id

    The User get endpoint allows you to search for a specific user based on email/id

  • The Users Endpoint Allows You To Export All User Related Information From Recruiterflow.

    The Users endpoint allows you to export all user related information from Recruiterflow.

Recruiterflow AI Agent Use Cases

Connect your AI agent to Recruiterflow and help your team scale the recruiting operations they run by hand today.

Job Posting Distribution

Use StackOne to connect your AI agent to your ATS and job boards to automate job posting distribution.

View
GreenhouseLeverAshbySmartRecruitersWorkableJobviteiCIMSTeamtailor
Reference Check Automation

Use StackOne to connect your AI agent to your ATS, survey tools, and messaging systems to automate reference checks.

View
GreenhouseLeverWorkdayiCIMSSmartRecruitersAshbyTeamtailorSurveyMonkey
Offer Letter Generation

Use StackOne to connect your AI agent to your ATS, HRIS, and document management tools to automate offer letter generation.

View
GreenhouseLeverAshbyWorkdayBambooHRPersonioHiBobGusto

Set Up Your Recruiterflow MCP Server in Minutes

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

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>"
      ]
    }
  }
}

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Recruiterflow MCP Server FAQ

Does StackOne have a Recruiterflow MCP server?
Yes. StackOne offers a hosted Recruiterflow MCP server with 49 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.
Recruiterflow MCP server vs direct API integration — what's the difference?
A Recruiterflow MCP server and direct API integration serve different use cases. Direct API integration is for software-to-software — backend code calling Recruiterflow. A Recruiterflow 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 Recruiterflow at runtime. StackOne provides both.
How does Recruiterflow authentication work for AI agents?
Recruiterflow 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 Recruiterflow account; StackOne handles token exchange, storage, and refresh. Credentials never reach the LLM, and each user is isolated via origin_owner_id.
Are Recruiterflow MCP tools vulnerable to prompt injection?
Yes — Recruiterflow 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 Recruiterflow agent and how do I avoid it?
Context bloat happens when Recruiterflow tool schemas and API responses eat your Recruiterflow agent's memory, preventing it from reasoning effectively. A single Recruiterflow 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 Recruiterflow agent can access?
Yes — you can limit which actions your Recruiterflow 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 Recruiterflow MCP server?
Yes — you can create custom agent actions for your Recruiterflow MCP server using Connector Builder. It's an integration agent your coding assistant (Claude Code, Cursor, or Copilot) can invoke to research Recruiterflow's API, generate production-ready connector YAML, test against the live API, and validate before you ship.
When should I NOT use a Recruiterflow MCP server?
Skip a Recruiterflow MCP server if your integration is purely software-to-software — direct Recruiterflow 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 Recruiterflow actions at runtime.
What AI frameworks and AI clients does the StackOne Recruiterflow MCP server support?
The StackOne Recruiterflow 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.