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Jobsoid MCP Server
for AI Agents

Connect your AI agent to StackOne's Jobsoid 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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Jobsoid MCP Server
Built by StackOne StackOne
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6 Agent Actions

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

MCP Actions → Build Actions →

Authentication

Agent Tool Authentication

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

Agent Auth →

Security

Agent Protection

Every Jobsoid 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 Jobsoid call.

Tools Discovery →

What is the Jobsoid MCP Server?

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

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

Jobs

  • List Jobs

    List jobs from Jobsoid

  • Get Job

    Get a job from Jobsoid

Locations

  • List Locations

    List locations from Jobsoid

Departments

  • List Departments

    List departments from Jobsoid

Divisions

  • List Divisions

    List divisions from Jobsoid

Functions

  • List Functions

    List functions from Jobsoid

Jobsoid AI Agent Use Cases

Connect your AI agent to Jobsoid 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
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
More Recruiting use cases More HRIS & HCM use cases

Set Up Your Jobsoid MCP Server in Minutes

One endpoint. Any framework. Your agent is talking to Jobsoid 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>"
      ]
    }
  }
}

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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

Jobsoid MCP Server FAQ

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