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JobScore MCP Server
for AI Agents

Connect your AI agent to StackOne's JobScore MCP server and give it 40 MCP tools out of the box. Auth, tool execution, and security all managed.

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JobScore MCP Server
Built by StackOne StackOne
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Coverage

40 Agent Actions

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

Authentication

Agent Tool Authentication

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

Agent Auth →

Security

Agent Protection

Every JobScore 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 JobScore call.

Tools Discovery →

What is the JobScore MCP Server?

A JobScore MCP server lets AI agents read and write JobScore data through the Model Context Protocol — Anthropic's open standard for connecting LLMs to external tools. StackOne's JobScore MCP server ships with 40 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 JobScore MCP Tools

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

Candidates

  • Create Candidate

    Create a new candidate profile with contact details, source information, and optionally an initial job application.

  • List Candidates

    Retrieve a paginated list of candidates with optional filtering by job, status, stage, tags, and date ranges.

  • Get Candidate

    Retrieve detailed profile information for a specific candidate by their ID.

  • Update Candidate

    Update an existing candidate's profile information including contact details, tags, source, and employment history.

Applications

  • Create Application

    Create a new job application for an existing candidate.

  • List Applications

    Retrieve a paginated list of job applications for a specific candidate.

  • Get Application

    Retrieve detailed information for a specific job application by its ID.

  • Update Application

    Update the status or stage of an existing job application.

Jobs

  • List Jobs

    Retrieve a paginated list of jobs with optional filtering and sorting.

  • Get Job

    Retrieve detailed information for a specific job posting by its ID.

Documents

  • Upload Document

    Upload a document and attach it to a candidate's profile.

  • List Documents

    Retrieve a paginated list of documents attached to a specific candidate.

  • Get Document

    Retrieve metadata for a specific document by its ID.

  • Download Document

    Download the file content of a specific document.

Notes

  • Create Note

    Create a new note on a candidate's profile.

  • List Notes

    Retrieve a paginated list of notes for a specific candidate.

  • Get Note

    Retrieve a specific note by its ID.

Offers

  • List Offers

    Retrieve a paginated list of all offers across all candidates.

  • Get Offer

    Retrieve detailed information for a specific offer by its ID.

Tasks

  • Create Task

    Create a new task or meeting for a candidate.

  • List Tasks

    Retrieve a paginated list of all tasks across the account.

  • Get Task

    Retrieve detailed information for a specific task by its ID.

Candidate Tasks

  • List Candidate Tasks

    Retrieve all tasks associated with a specific candidate.

  • Get Candidate Task

    Retrieve a specific task for a candidate by candidate ID and task ID.

Users

  • List Users

    Retrieve all users in the JobScore account

  • Get User

    Retrieve a single user by ID

Departments

  • Create Department

    Create a new department in JobScore

  • List Departments

    Retrieve all departments in the JobScore account

  • Get Department

    Retrieve a single department by ID

Locations

  • List Locations

    Retrieve all locations in the JobScore account

  • Get Location

    Retrieve a single location by ID

Candidate EEOs

  • List Candidate EEO

    Retrieve EEO data for candidates in the JobScore account

  • Get Candidate EEO

    Retrieve EEO data for a specific candidate

Other (7)

  • Add Candidate Tags

    Add one or more tags to a candidate's profile.

  • List Candidate Offers

    Retrieve all offers associated with a specific candidate.

  • Get Application Offer

    Retrieve the offer associated with a specific job application.

  • List Tags

    Retrieve a paginated list of all candidate tags defined in the account.

  • Get Current User

    Retrieve the currently authenticated user

  • List Disposition Codes

    Retrieve all disposition codes in the JobScore account

  • List Workflow Stages

    Retrieve all workflow stages for a specific job

JobScore AI Agent Use Cases

Connect your AI agent to JobScore 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.

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 JobScore MCP Server in Minutes

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

Does StackOne have a JobScore MCP server?
Yes. StackOne offers a hosted JobScore MCP server with 40 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.
JobScore MCP server vs direct API integration — what's the difference?
A JobScore MCP server and direct API integration serve different use cases. Direct API integration is for software-to-software — backend code calling JobScore. A JobScore 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 JobScore at runtime. StackOne provides both.
How does JobScore authentication work for AI agents?
JobScore 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 JobScore account; StackOne handles token exchange, storage, and refresh. Credentials never reach the LLM, and each user is isolated via origin_owner_id.
Are JobScore MCP tools vulnerable to prompt injection?
Yes — JobScore 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 JobScore agent and how do I avoid it?
Context bloat happens when JobScore tool schemas and API responses eat your JobScore agent's memory, preventing it from reasoning effectively. A single JobScore 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 JobScore agent can access?
Yes — you can limit which actions your JobScore 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 JobScore MCP server?
Yes — you can create custom agent actions for your JobScore MCP server using Connector Builder. It's an integration agent your coding assistant (Claude Code, Cursor, or Copilot) can invoke to research JobScore's API, generate production-ready connector YAML, test against the live API, and validate before you ship.
When should I NOT use a JobScore MCP server?
Skip a JobScore MCP server if your integration is purely software-to-software — direct JobScore 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 JobScore actions at runtime.
What AI frameworks and AI clients does the StackOne JobScore MCP server support?
The StackOne JobScore 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.