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Optimize
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Live 34 Actions
Gem ATS MCP Server
for AI Agents
Connect your AI agent to StackOne's Gem ATS MCP server and give it 34 MCP tools out of the box. Auth, tool execution, and security all managed.
Gem ATS MCP Server
Built by 
StackOne
StackOne 
Coverage
34 Agent Actions
Create, read, update, and delete across Gem ATS — and extend your agent's capabilities with custom actions.
Authentication
Agent Tool Authentication
Per-user OAuth in one call. Your Gem ATS MCP server gets session-scoped tokens with zero credentials stored on your infra.
Agent Auth →
Security
Agent Protection
Every Gem ATS 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 Gem ATS call.
Tools Discovery →What is the Gem ATS MCP Server?
A Gem ATS MCP server lets AI agents read and write Gem ATS data through the Model Context Protocol — Anthropic's open standard for connecting LLMs to external tools. StackOne's Gem ATS MCP server ships with 34 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 Gem ATS MCP Tools
Every action from Gem ATS's API, ready for your agent. Create, read, update, and delete — scoped to exactly what you need.
Applications
- List Applications
Retrieve a paginated list of job applications with optional filters
- Get Application
Retrieve a single job application by its ID
- Update Application
Update an existing job application
- Move Application
Move a job application from one stage to another
Candidates
- Create Candidate
Create a new candidate in Gem ATS
- List Candidates
Retrieve a paginated list of candidates with optional filters
- Get Candidate
Retrieve a single candidate by their ID
- Update Candidate
Update an existing candidate's information
Jobs
- List Jobs
Retrieve a paginated list of jobs with optional filters
- Get Job
Retrieve a single job by its ID
Job Stages
- List Job Stages
Retrieve a paginated list of all job stages
- Get Job Stage
Retrieve a single job stage by its ID
Offers
- List Offers
Retrieve a paginated list of offers with optional filters
- Get Offer
Retrieve a single offer by its ID
Openings
- List Openings
Retrieve a paginated list of job openings with optional filters
- Get Opening
Retrieve a single job opening by its ID
Scorecards
- Create Scorecard
Submit a new interview scorecard for a candidate
- List Scorecards
Retrieve a paginated list of interview scorecards
- Get Scorecard
Retrieve a single scorecard by its ID
Scheduled Interviews
- Create Scheduled Interview
Schedule a new interview for a job application
- List Scheduled Interviews
Retrieve a paginated list of scheduled interviews with optional filters
- Get Scheduled Interview
Retrieve a single scheduled interview by its ID
- Update Scheduled Interview
Update an existing scheduled interview
- Delete Scheduled Interview
Permanently delete a scheduled interview
Users
- List Users
Retrieve a paginated list of Gem ATS users with optional filters
- Get User
Retrieve a single user by their ID
Other (8)
- Create Candidate Note
Add a note to a candidate's activity feed
- Create Candidate Email
Log an email in a candidate's activity feed
- List Job Stages For Job
Retrieve all pipeline stages for a specific job
- List Job Posts
Retrieve a paginated list of job posts with optional filters
- List Locations
Retrieve a paginated list of office locations
- List Application Scheduled Interviews
Retrieve all scheduled interviews for a specific application
- Disable User
Disable a user account in Gem ATS
- Enable User
Enable a previously disabled user account in Gem ATS
Gem ATS AI Agent Use Cases
Connect your AI agent to Gem ATS 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 Reference Check Automation
Use StackOne to connect your AI agent to your ATS, survey tools, and messaging systems to automate reference checks.
View Offer Letter Generation
Use StackOne to connect your AI agent to your ATS, HRIS, and document management tools to automate offer letter generation.
ViewSet Up Your Gem ATS MCP Server in Minutes
One endpoint. Any framework. Your agent is talking to Gem ATS in under 10 lines of code.
Agent Frameworks
JSON{
"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>"
]
}
}
}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
MCP vs A2A: Architecture, Security, and When to Use Each
MCP vs A2A: what each protocol standardizes, how they differ, their shared security risks including indirect prompt injection, and when to use one, both, or a hybrid architecture.
12 min
MCP vs API: What 200+ Connector Builds Taught Us
MCP wraps APIs, it doesn't replace them. After building 200+ connectors that serve both, here's when each approach wins.
14 min read
Gem ATS MCP Server FAQ
Does StackOne have a Gem ATS MCP server?
Yes. StackOne offers a hosted Gem ATS MCP server with 34 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.
Gem ATS MCP server vs direct API integration — what's the difference?
A Gem ATS MCP server and direct API integration serve different use cases. Direct API integration is for software-to-software — backend code calling Gem ATS. A Gem ATS 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 Gem ATS at runtime. StackOne provides both.
How does Gem ATS authentication work for AI agents?
Gem ATS 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 Gem ATS account; StackOne handles token exchange, storage, and refresh. Credentials never reach the LLM, and each user is isolated via
origin_owner_id.Are Gem ATS MCP tools vulnerable to prompt injection?
Yes — Gem ATS 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 Gem ATS agent and how do I avoid it?
Context bloat happens when Gem ATS tool schemas and API responses eat your Gem ATS agent's memory, preventing it from reasoning effectively. A single Gem ATS 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 Gem ATS agent can access?
Yes — you can limit which actions your Gem ATS 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 Gem ATS MCP server?
Yes — you can create custom agent actions for your Gem ATS MCP server using Connector Builder. It's an integration agent your coding assistant (Claude Code, Cursor, or Copilot) can invoke to research Gem ATS's API, generate production-ready connector YAML, test against the live API, and validate before you ship.
When should I NOT use a Gem ATS MCP server?
Skip a Gem ATS MCP server if your integration is purely software-to-software — direct Gem ATS 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 Gem ATS actions at runtime.
What AI frameworks and AI clients does the StackOne Gem ATS MCP server support?
The StackOne Gem ATS 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.