Put your AI agents to work

StackOne is integration infrastructure for AI agents. It connects your AI agents to any SaaS system through a single interface, with 26,000+ pre-built actions across HRIS, ATS, LMS, CRM, IAM, documents, and more—plus the connector builder to create custom actions for any API. Your agent reasons and decides what to do—StackOne executes it.

Agentic integration connects AI agents to business systems so they can take real actions—not just retrieve data. Traditional integrations sync data between apps on a schedule; agentic integrations let an agent choose and execute the right tool at runtime, with the permissions, guardrails, and token-efficient design agents need. StackOne provides that layer: 400+ connectors exposing 26,000+ agent-ready actions, governed end to end.

Pick the protocol that fits your stack: MCP (Model Context Protocol), A2A (Agent-to-Agent), the AI Action SDK for Python and TypeScript, or direct REST APIs. Most integrations take under six lines of code. StackOne handles authentication, retries, rate limiting, file handling, data transformation, and governance across every provider.

StackOne ships with 400+ pre-built connectors spanning HRIS, ATS, LMS, CRM, IAM, messaging, documents, and more. If a connector doesn't exist yet, the connector builder lets you create production-ready connectors for any API—including SOAP, OData, and proprietary systems—in minutes.

Falcon is StackOne's execution engine—the layer that runs every action your agent takes. It handles auth, retries, errors, and data transformation across REST, GraphQL, SOAP, and proprietary APIs. Your agent decides what to do; Falcon makes sure it actually happens, reliably and safely.

Yes. StackOne is SOC 2 Type II certified, GDPR compliant, HIPAA compliant, and CCPA compliant. It uses a privacy-first architecture: customer data is only stored if you choose to, in the processing region you pick, with full control over retention. Multi-region data processing is available for EU and US residency requirements.

StackOne offers a free Starter plan with 1,000 action calls per month, all standard connectors, and MCP access—no credit card required. Additional calls are $0.003 each. Core and Enterprise plans add premium connectors, unlimited custom connectors, A2A protocol, SOC 2 certification, SLAs, and volume discounts.

Yes—every StackOne connector is available as an MCP server. Any MCP-compatible AI agent—Claude, Cursor, Windsurf, custom builds—can access StackOne's full catalog of connectors and actions through the Model Context Protocol. One MCP server, 400+ integrations. No SDK needed, no custom code. Your agent discovers available tools, calls them, and gets structured responses back.

Developers building AI agents that need to take action across enterprise SaaS—HR systems, recruiting tools, CRMs, document stores, identity providers. If your agent needs to pull employee data from Workday, create a candidate in Greenhouse, or search files in SharePoint, StackOne is the infrastructure that makes that work in production.

StackOne solves three problems for AI agent teams: integration across enterprise SaaS, accurate and reliable tool calling execution, and secure execution across every app your agent touches. That means authentication across dozens of OAuth and SAML flows, handling rate limits and retries, transforming data between systems, managing permissions so agents don't overstep, and keeping the LLM context window under control so your agent reasons well. Your team can access all of this via REST API, A2A and MCP protocols, or StackOne's SDK. Your agent can act across any system with 400+ pre-built integrations, 26,000+ actions, and the connector builder to build for any API. Execution is code-based so developers keep complete control, while our platform is real-time and bidirectional—we never store any data by default. Compliant and tooled with permission control, you always ensure your AI agent actions are secure.

StackOne is different from a unified API because unified APIs flatten every enterprise SaaS API into one generic schema—good for developers writing deterministic code, bad for agents. StackOne takes an AI agent-first approach preserving each provider's real data model, field names, and capabilities. An agent working with Greenhouse gets Greenhouse concepts, not a lowest-common-denominator abstraction. We standardize behavior (auth, pagination, error handling) without losing the depth agents need to do useful work. Read why unified APIs break for AI agents.