Connect
Optimize
Secure
Zinc MCP Server
for AI Agents
Production-ready Zinc MCP server with extensible actions — plus built-in authentication, security, and optimized execution.
Zinc MCP Server
Built by 
StackOne
StackOne 
Coverage
8 Agent Actions
Create, read, update, and delete across Zinc — and extend your agent's capabilities with custom actions.
Authentication
Agent Tool Authentication
Per-user OAuth in one call. Your Zinc MCP server gets session-scoped tokens with zero credentials stored on your infra.
Agent Auth →
Security
Agent Protection
Every Zinc 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 Zinc call.
Tools Discovery →What is the Zinc MCP Server?
A Zinc MCP server lets AI agents read and write Zinc data through the Model Context Protocol — Anthropic's open standard for connecting LLMs to external tools. StackOne's Zinc MCP server ships with pre-built actions, fully extensible via the Connector Builder — plus managed authentication, prompt injection defense, and optimized agent context. 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 Zinc MCP Tools and Actions
Every action from Zinc's API, ready for your agent. Create, read, update, and delete — scoped to exactly what you need.
Start Check (Pre-Configured Package)s
- Start Check (Pre-Configured Package)
Start a background-check request against a pre-configured customer package.
Start Check (Custom Package Specification)s
- Start Check (Custom Package Specification)
Start a background-check request with an inline package specification (no pre-configured package).
Cancel Requests
- Cancel Request
Cancel an in-flight background-check request.
Mark Request As Revieweds
- Mark Request As Reviewed
Move a request from action-required to reviewed.
Packages
- List Packages
List the customer's pre-configured background-check packages.
Results
- Get Results
Get the current status and results of a background-check request.
Reports
- Get Report
Download the PDF report for a completed background-check request.
Requests
- Search Requests
Search background-check requests by candidate email(s) or by request ID.
Zinc AI Agent Use Cases
Connect your AI agent to Zinc and help your team scale the HR operations they run by hand today.
Employee Onboarding
Use StackOne to connect your AI agent to your HRIS, identity management, and LMS to automate employee onboarding.
View → HR Policy Q&A Chatbot
Use StackOne to connect your AI agent to your HRIS, knowledge base, and messaging tools to automate HR policy Q&A.
View → Employee Offboarding
Use StackOne to connect your AI agent to your HRIS, identity management, and ITSM to automate employee offboarding and deprovisioning.
View →Set Up Your Zinc MCP Server in Minutes
One endpoint. Any framework. Your agent is talking to Zinc in under 10 lines of code.
MCP Clients
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>"
]
}
}
}More hr-workforce MCP Servers
ADP Workforce Now
50+ actions
Zinc MCP Server 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
Zinc MCP Server FAQ
Zinc MCP server vs direct API integration — what's the difference?
A Zinc MCP server and direct API integration serve different use cases. Direct API integration is for software-to-software — backend code calling Zinc. A Zinc 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 Zinc at runtime. StackOne provides both.
How does Zinc authentication work for AI agents?
Zinc 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 Zinc account; StackOne handles token exchange, storage, and refresh. Credentials never reach the LLM, and each user is isolated via
origin_owner_id.Are Zinc MCP tools vulnerable to prompt injection?
Yes — Zinc 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 Zinc agent and how do I avoid it?
Context bloat happens when Zinc tool schemas and API responses eat your Zinc agent's memory, preventing it from reasoning effectively. A single Zinc 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 Zinc agent can access?
Yes — you can limit which actions your Zinc 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 Zinc MCP server?
Yes — you can create custom agent actions for your Zinc MCP server using Connector Builder. It's an integration agent your coding assistant (Claude Code, Cursor, or Copilot) can invoke to research Zinc's API, generate production-ready connector YAML, test against the live API, and validate before you ship.
When should I NOT use a Zinc MCP server?
Skip a Zinc MCP server if your integration is purely software-to-software — direct Zinc 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 Zinc actions at runtime.
What AI frameworks and AI clients does the StackOne Zinc MCP server support?
The StackOne Zinc 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.