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Integration Infrastructure
for AI Agents

Your agent thinks, StackOne takes action. Connect, optimize, and secure your AI agents' external interactions to fully automate workflows.

Backed by GV (Google Ventures) Workday Ventures
Angel investors from
OpenAI Microsoft DeepMind Mistral AI MuleSoft
Drata GP Flip Mindtools Popp Introist Kinfolk Humaans

200+ AI Agent Connectors.
10,000+ Actions.

Salesforce
Workday (Rest and Soap)
HubSpot
Slack
BambooHR
Greenhouse - Harvest v3
Ashby
HiBob
Lever
Personio
Okta
ServiceNow
Jira
GitHub
Notion
Asana
ClickUp
Linear
SAP SuccessFactors
DocuSign
Intercom
Gong
Drata
Gusto
Lattice
Bullhorn
SmartRecruiters
Factorial
Teamtailor
Calendly
Microsoft Teams
Google Drive
Confluence
Trello
SharePoint
Dropbox
Gmail
outlook
Google Calendar
Google Docs
Google Sheets
Xero
QuickBooks Online
Shopify
Mailchimp
Klaviyo
Typeform
Datadog
PagerDuty
Tableau
Docebo
Udemy
Cornerstone
Workable
Recruitee
BreezyHR
Pinpoint
Paylocity
Microsoft OneDrive

Extend Any Connector.
Build Your Own.

SOAP, OData, XML-RPC, proprietary APIs—doesn't matter. AI Builder creates production-ready connectors from any enterprise system in minutes, not months.

ai-builder — stackone/connectors

Connect Using
Any Protocol.

Your frameworks. Your agents. Your systems. Four ways to connect them all to StackOne.

Native tool calling for any MCP-compatible agent.

Works with any MCP-compatible client, regardless of language or framework.

OpenAI Agents SDK·TypeScript
import { Agent, MCPServerStreamableHttp, run } from "@openai/agents";

const authToken = Buffer.from(
  `${process.env.STACKONE_API_KEY}:`
).toString("base64");

const stackoneMcp = new MCPServerStreamableHttp({
  url: "https://api.stackone.com/mcp?x-account-id=<account_id>",
  requestInit: {
    headers: {
      Authorization: `Basic ${authToken}`,
    },
  },
});

await stackoneMcp.connect();

const agent = new Agent({
  name: "stackone-assistant",
  model: "gpt-5.2",
  mcpServers: [stackoneMcp],
});

const result = await run(agent, "List Salesforce accounts");
console.log(result.finalOutput);

Powered by StackOne's
Execution Engine

StackOne connectors are built on our next-generation execution engine, aka Falcon. It's full of features designed to optimize your agent's context, token usage, and reliability.

Integrations-As-Code

Every connector is a declarative YAML file in Git — reviewable, testable, reproducible.

Managed Authentication

OAuth, API keys, and token refresh handled automatically. Your agent never touches a secret.

Multi-Tenancy

Isolated execution contexts per customer with scoped credentials and audit logs.

Low-Latency Transformations

Real-time data shaping and caching for lean context windows and full app payloads.

Rate Limit Handling

Automatic per-provider throttling, queuing, and retries so agents never hit a limit.

Multi-Protocol

One connector definition, exposed via REST API, MCP, A2A, and AI SDKs.

Enforce Agent Permissions
& Governance.

Control exactly what each agent can access across every integration. StackOne's Unified Permissions API normalizes RBAC, scopes, and ACLs into a single model — so one set of rules works everywhere.

1 Tool Request

Agent calls get_document() via StackOne

user:alice tenant:acme
2 Permission Check

Checks which docs were shared with alice by admin

report_Q4.pdf roadmap.docx
3 Scoped Response

3 docs found, filtered to 1 doc shared with alice

audit logged < 1ms

Unified Permission Model

Every provider models permissions differently. StackOne maps roles, scopes, and access levels to a single schema so your application logic stays clean and portable.

Per-Tenant Scoping

Each customer gets isolated credentials and connections. Define access rules once and enforce them across every connected provider — per user, per agent, per tenant.

Real-Time Checks

Verify access before every operation. Sub-millisecond permission checks with local caching ensure governance is enforced without adding latency.

Defend Against
Prompt Injection.

AI agents that call tools are exposed to indirect prompt injection — the #1 OWASP LLM risk. StackOne Defender detects and neutralizes malicious content hidden in tool responses before it reaches the LLM.

Defender

0.88

F1 Score

22 MB ~10ms

LLM Moderation

0.82

F1 Score

>2 GB 500ms+

Gateway Proxy

0.65

F1 Score

Infra required

Regex Patterns

0.40

F1 Score

<1 MB

Two-Tier Defense Pipeline

Tier 1 catches known attack patterns in ~1ms. Tier 2 runs a fine-tuned ML classifier in ~10ms for adversarial attacks that evade pattern matching. F1 score: 0.87-0.88.

Scans Every Tool Response

Emails, documents, PRs, CRM records — any tool response can contain hidden instructions. Defender scans and sanitizes content before your agent processes it.

Open Source, Zero Latency

Runs in-process with a bundled ONNX model — no external API calls, no inference costs, no network latency. Three lines of code to integrate.

npm install @stackone/defender

Your CISO Says Yes.

Real-time by design, StackOne never stores your customers' data by default. SOC 2 Type II certified, GDPR and HIPAA compliant — built for enterprise from day one.

Zero Data Storage

StackOne proxies every request in real-time. No customer data is persisted by default — nothing to breach, nothing to leak.

Full Audit Trail

Every API call, permission check, and credential use is logged. Complete audit trail across all providers from a single endpoint — ready for compliance reviews.

Certified & Compliant

SOC 2 Type II certified infrastructure with encrypted credentials at rest, automatic token refresh, and real-time monitoring across every integration.

SOC2 II SOC2 II Certified
CCPA CCPA Compliant
GDPR GDPR Compliant
HIPAA HIPAA Compliant

What Will Your Agent Do?

Workday logoGoogledrive logoDocusign logoJira logo
AI Employee Onboarding

Your agent extracts employee data, creates accounts, sends documents, and generates compliance tickets using Workday, Google Workspace, DocuSign, and Jira.

Watch it live
Fireflies logoSlack logoGoogledrive logo

Automated Meeting Sharing

Your agent pulls 64 customer call recordings from Fireflies and shares them with your team. Built in 10 minutes with Claude Code and a custom MCP connector.

Read more
Gamma logoGooglesheets logoHubspot logo

AI Presentation Generation

Your agent pulls insights from Fireflies transcripts, Google Docs, Google Calendar, and your HRIS, then builds and delivers presentations in Gamma. No templates. Fully agentic.

See how
Googledrive logoSharepoint logoDropbox logo

Enterprise RAG

Your agent syncs documents from Google Drive, SharePoint, and Dropbox in real time, feeds them into your vector database, and answers questions with permission-aware retrieval. No custom ETL. Always current.

Documents API

Frequently Asked Questions

StackOne is integration infrastructure for AI agents. It connects your AI agents to any SaaS system through a single interface, with 10,000+ 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.
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 200+ 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 that never stores your customers' data by default. 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.
StackOne's MCP Servers let any MCP-compatible AI agent—Claude, Cursor, Windsurf, custom builds—access StackOne's full catalog of connectors and actions through the Model Context Protocol. One MCP server, 200+ 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 200+ pre-built integrations, 10,000+ 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.

Put Your Agents to Work

All the tools you need to build and scale AI agents integrations, with best-in-class security & privacy.