Veremark MCP Server
for AI Agents
Connect your AI agent to StackOne's Veremark MCP server and give it 22 MCP tools out of the box. Auth, tool execution, and security all managed.
StackOne 
Coverage
22 Agent Actions
Create, read, update, and delete across Veremark — and extend your agent's capabilities with custom actions.
Authentication
Agent Tool Authentication
Per-user OAuth in one call. Your Veremark MCP server gets session-scoped tokens with zero credentials stored on your infra.
Agent Auth →
Security
Agent Protection
Every Veremark 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 Veremark call.
Tools Discovery →What is the Veremark MCP Server?
A Veremark MCP server lets AI agents read and write Veremark data through the Model Context Protocol — Anthropic's open standard for connecting LLMs to external tools. StackOne's Veremark MCP server ships with 22 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 Veremark MCP Tools
Every action from Veremark's API, ready for your agent. Create, read, update, and delete — scoped to exactly what you need.
Candidates
- List Candidates
Retrieve a list of all candidates in your Veremark account.
- Delete Candidate
Soft delete a specific candidate from your Veremark account by their GUID.
Checks
- List Checks
Retrieve a list of all available background checks, optionally filtered by country.
Criterias
- Create Criteria
Create a new background check criteria template with specified checks and country.
- List Criteria
Retrieve a list of all background check criteria templates in your Veremark account.
- Get Criteria
Retrieve details of a specific criteria template by its GUID.
- Delete Criteria
Delete a specific criteria template by its GUID.
Documents
- Upload Document
Upload a document to Veremark as multipart/form-data for use in background check verification.
- Get Document
Download the binary content of a specific document by its GUID.
Requests
- Create Request
Create a new background check request for a candidate using specified criteria.
- List Requests
Retrieve a list of all background check requests, optionally filtered by status change date.
- Get Request
Retrieve details of a specific background check request by its GUID.
- Delete Request
Delete a background check request by its GUID. Only requests in expired, requested, or draft status can be deleted.
Check Status
- Update Check Status
Update the status of a specific check within a background check request.
Magic Links
- Create Magic Links
Create time-limited magic links for accessing the report of a specific background check request.
Force Check Status
- Force Check Status
Force a specific check status transition within a background check request using the restricted endpoint. Requires elevated API permissions.
Full Reports
- Get Full Report
Download the full PDF report for a background check request.
Check Reports
- Get Check Report
Download the PDF report for a specific individual check within a background check request.
Users
- Create User
Create a new user in your Veremark account with a specified role.
- List Users
Retrieve a list of all external users in your Veremark account.
- Get User
Retrieve details of a specific user in your Veremark account by their GUID.
- Delete User
Delete a specific user from your Veremark account by their GUID.
Veremark AI Agent Use Cases
Connect your AI agent to Veremark and help your team scale the recruiting operations they run by hand today.
Use StackOne to connect your AI agent to your ATS and job boards to automate job posting distribution.
ViewUse StackOne to connect your AI agent to your ATS, survey tools, and messaging systems to automate reference checks.
ViewUse StackOne to connect your AI agent to your ATS, HRIS, and document management tools to automate offer letter generation.
ViewSet Up Your Veremark MCP Server in Minutes
One endpoint. Any framework. Your agent is talking to Veremark 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
Veremark MCP Server FAQ
Does StackOne have a Veremark MCP server?
Veremark MCP server vs direct API integration — what's the difference?
How does Veremark authentication work for AI agents?
origin_owner_id.Are Veremark MCP tools vulnerable to prompt injection?
What is the context bloat of a Veremark agent and how do I avoid it?
Can I limit which actions my Veremark agent can access?
Can I create custom agent actions for my Veremark MCP server?
When should I NOT use a Veremark MCP server?
What AI frameworks and AI clients does the StackOne Veremark MCP server support?
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.