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The #1 agentic semantic tool search: 91.6% first-try accuracy on S1 Search Bench • Explore Tool Discovery →
Connect your AI agent to StackOne's CATS MCP server and give it 54 MCP tools out of the box. Auth, tool execution, and security all managed.
Coverage
Create, read, update, and delete across CATS — and extend your agent's capabilities with custom actions.
Authentication
Per-user OAuth in one call. Your CATS MCP server gets session-scoped tokens with zero credentials stored on your infra.
Agent Auth →Security
Every CATS tool response scanned for prompt injection in milliseconds — 88.7% accuracy, all running on CPU.
Prompt Injection Defense →Performance
Free up to 96% of your agent's context window to enhance reasoning and reduce cost, on every CATS call.
Tools Discovery →A CATS MCP server lets AI agents read and write CATS data through the Model Context Protocol — Anthropic's open standard for connecting LLMs to external tools. StackOne's CATS MCP server ships with 54 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.
Every action from CATS's API, ready for your agent. Create, read, update, and delete — scoped to exactly what you need.
Create a new candidate in CATS.
List all candidates in CATS.
Retrieve a single candidate by ID.
Search candidates by a text query.
Update an existing candidate by ID.
Delete a candidate by ID.
Create a new job order in CATS.
List all job orders in CATS.
Retrieve a single job order by ID.
Search job orders by a text query.
Update an existing job order by ID.
Delete a job order by ID.
Create a new pipeline linking a candidate to a job.
List all pipelines (candidate-job applications) in CATS.
Retrieve a single pipeline by ID.
Update an existing pipeline by ID.
Delete a pipeline by ID.
List all companies in CATS.
Search companies by a text query.
Create a new company in CATS.
Retrieve a single company by ID.
Update an existing company by ID.
Delete a company by ID.
Add a new department to a company in CATS.
List all departments for a company in CATS.
Retrieve a single department by ID.
Update a department's name in CATS.
Delete a department from CATS.
Create a new contact in CATS.
List all contacts in CATS.
Retrieve a single contact by ID.
Search contacts by a text query.
Update an existing contact by ID.
Delete a contact by ID.
List all activities in CATS.
Search activities by a text query.
Retrieve a single activity by ID.
Update an existing activity by ID.
Delete an activity by ID.
Create a new task in CATS.
List all tasks in CATS.
Retrieve a single task by ID.
List all pipelines (job applications) for a candidate.
List all tasks associated with a candidate.
List all pipelines (applications) for a job.
List all tasks associated with a job order.
List all tasks associated with a company.
List all tasks associated with a contact.
Filter candidates by a specific field and value.
Filter job orders by a specific field and value.
Filter pipelines by a specific field and value.
Filter companies by a specific field and value.
Filter contacts by a specific field and value.
Filter activities by a specific field and value.
Connect your AI agent to CATS 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.
ViewOne endpoint. Any framework. Your agent is talking to CATS in under 10 lines of code.
Agent Frameworks
{
"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>"
]
}
}
}Anthropic's code_execution processes data already in context. Custom MCP code mode keeps raw tool responses in a sandbox. 14K tokens vs 500.
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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.
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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.
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MCP wraps APIs, it doesn't replace them. After building 200+ connectors that serve both, here's when each approach wins.
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origin_owner_id.All the tools you need to build and scale AI agent integrations, with best-in-class connectivity, execution, and security.