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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 Lucca MCP server and give it 47 MCP tools out of the box. Auth, tool execution, and security all managed.
Coverage
Create, read, update, and delete across Lucca — and extend your agent's capabilities with custom actions.
Authentication
Per-user OAuth in one call. Your Lucca MCP server gets session-scoped tokens with zero credentials stored on your infra.
Agent Auth →Security
Every Lucca 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 Lucca call.
Tools Discovery →A Lucca MCP server lets AI agents read and write Lucca data through the Model Context Protocol — Anthropic's open standard for connecting LLMs to external tools. StackOne's Lucca MCP server ships with 47 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 Lucca's API, ready for your agent. Create, read, update, and delete — scoped to exactly what you need.
Create a new department.
Retrieve a single department by ID.
Update a department.
Upload a file in order to reference it as the attachment of another resource (e.g. a portrait).
Retrieve a file, either its JSON representation or its content.
Create a new webhook-endpoint.
Retrieves a single webhook-endpoint resource.
Update an existing webhook-endpoint.
Delete an existing webhook-endpoint.
Returns a paginated list of employees.
Retrieve a single employee.
Retrieve a paginated list of employee-personal-records.
Retrieve an employee-personal-record.
Returns a paginated list of departments.
Returns a paginated list of legal-entities.
Retrieve a legal-entity.
List business-establishments.
Retrieve a business-establishment.
Returns a paginated list of employments.
Retrieve an employment by its ID.
Retrieve a paginated list of employment-templates.
Retrieve an employment-template by its ID.
Retrieve a paginated list of job-positions.
Retrieve a job-position by its ID.
List probationary-periods.
Retrieve a probationary-period by its ID.
Returns a paginated list of employee-attribute-definitions.
Retrieve a single employee-attribute-definition by ID.
Returns a paginated list of employee-attributes.
Retrieve a single employee-attribute by ID.
List professions.
Retrieve a profession by its ID.
Returns a paginated list of job-qualifications.
Retrieve a job-qualification by its ID.
Returns a paginated list of occupation-categories.
Retrieve an occupation-category.
Returns a paginated list of taxonomies.
Retrieve a taxonomy by its ID.
Returns a paginated list of taxonomy-labels.
Retrieve a taxonomy-label by its ID.
Returns a paginated list of webhook-endpoints.
Returns a paginated list of webhook-deliveries.
Retrieve a webhook-delivery.
Retrieve a paginated list of webhook-delivery-attempts.
Retrieve a webhook-delivery-attempt.
Retrieve a single employee portrait, either as a JSON representation, or the actual image file.
Triggers a test delivery to a webhook endpoint to verify it is configured correctly.
Connect your AI agent to Lucca and help your team scale the HR operations they run by hand today.
Use StackOne to connect your AI agent to your HRIS, identity management, and LMS to automate employee onboarding.
ViewUse StackOne to connect your AI agent to your HRIS, knowledge base, and messaging tools to automate HR policy Q&A.
ViewUse StackOne to connect your AI agent to your HRIS, identity management, and ITSM to automate employee offboarding and deprovisioning.
ViewOne endpoint. Any framework. Your agent is talking to Lucca 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>"
]
}
}
}139+ actions
128+ actions
127+ actions
123+ actions
120+ actions
117+ actions
111+ actions
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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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.