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EasyCruit MCP Server
for AI Agents

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

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EasyCruit MCP Server
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Coverage

12 Agent Actions

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

Authentication

Agent Tool Authentication

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

Agent Auth →

Security

Agent Protection

Every EasyCruit 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 EasyCruit call.

Tools Discovery →

What is the EasyCruit MCP Server?

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

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

Countries

  • List Countries

    List countries with their localized names.

Counties

  • List Counties

    List counties within a specific country.

Municipalities

  • List Municipalities

    List municipalities within a specific county and country.

Application Reports

  • Get Application Report

    Retrieve the application data extract for a date range and set of departments.

Vacancy Reports

  • Get Vacancy Report

    Retrieve the vacancy data extract for a date range and set of departments.

Posting Channel Reports

  • Get Posting Channel Report

    Retrieve the posting channel data extract for a date range and set of departments.

Job Alert Reports

  • Get Job Alert Report

    Retrieve the job alert data extract for a date range.

Vacancy Specific Questions Reports

  • Get Vacancy Specific Questions Report

    Retrieve the vacancy specific questions data extract for a single vacancy.

Candidate Questions Reports

  • Get Candidate Questions Report

    Retrieve the candidate questions data extract for a date range.

Application Questions Reports

  • Get Application Questions Report

    Retrieve the application questions data extract for a date range and set of departments.

User Reports

  • Get User Report

    Retrieve the user data extract for a date range and set of departments.

Translations

  • Get Translations

    Retrieve translations for a specific language and application.

EasyCruit AI Agent Use Cases

Connect your AI agent to EasyCruit 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.

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GreenhouseLeverAshbySmartRecruitersWorkableJobviteiCIMSTeamtailor
Reference Check Automation

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

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GreenhouseLeverWorkdayiCIMSSmartRecruitersAshbyTeamtailorSurveyMonkey
Offer Letter Generation

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

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GreenhouseLeverAshbyWorkdayBambooHRPersonioHiBobGusto

Set Up Your EasyCruit MCP Server in Minutes

One endpoint. Any framework. Your agent is talking to EasyCruit 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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EasyCruit MCP Server FAQ

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