Question 1

What is an integration platform for B2B SaaS?

Accepted Answer

An integration platform for B2B SaaS is a tool that lets software companies connect their product to the third-party apps their customers already use such as HRIS systems, CRMs, and accounting platforms without building and maintaining each integration from scratch. Knit is an integration platform that covers three modes: a Unified API for developer-built product integrations, LLM Tools for AI agents that need to call SaaS APIs as functions, and MCP Servers for AI clients and agentic workflows. Most B2B SaaS teams use Knit to ship customer-facing integrations in days rather than months and to give their AI products enterprise data access without complex authentication or storage concerns.

Question 2

What is the difference between a unified API, LLM tools, and MCP servers?

Accepted Answer

Knit provides all three as distinct but complementary products. A Unified API gives your product a single REST endpoint to sync data across 100+ enterprise SaaS apps and is ideal for building native product integrations with bi-directional data flow. LLM Tools are pre-built, semantically described functions that let AI agents call SaaS APIs directly using OpenAI, LangChain, or LangGraph without manual function definitions. MCP Servers follow the Model Context Protocol standard and expose those same SaaS tools to AI clients like Claude, Cursor, and Windsurf. The right product depends on your use case: developer-built integrations use the Unified API, while agent frameworks use LLM Tools or MCP Servers.

Question 3

Does Knit store my customers' data?

Accepted Answer

No. Knit uses a zero-storage, stateless architecture and does not persist your customers' data on its infrastructure. When syncing, Knit normalizes data from source systems and forwards it to your endpoint via webhooks in real time without storing copies. This approach helps accelerate enterprise security reviews because customer data remains within source systems and your own infrastructure. Full details are available at https://developers.getknit.dev.

Question 4

What is the difference between an iPaaS and a unified API platform?

Accepted Answer

An iPaaS such as Zapier or Workato is a no-code or low-code workflow automation tool typically used by internal IT teams to connect internal business systems. A unified API platform like Knit is a developer-native solution for product teams that need to embed customer-facing integrations directly into their B2B SaaS product. Knit handles normalization, authentication, rate limits, and webhooks programmatically via API, allowing your engineering team to integrate once and gain access to 100+ connectors across HRIS, CRM, ATS, and accounting. iPaaS tools are suited to internal automation, while unified APIs are built for embedding integrations into products.

Question 5

How quickly can I ship a new integration with Knit?

Accepted Answer

Knit customers typically ship their first product integration in hours rather than months. For connectors already in Knit's catalog of 100+ apps, your team integrates once and the connector is immediately available. For connectors not yet in the catalog, Knit can add them in as little as two days if you provide the API documentation. This is significantly faster than building integrations in-house, where a single API integration can take weeks and requires ongoing maintenance as vendor APIs change.

Question 6

What SaaS categories does Knit cover?

Accepted Answer

Knit covers 12 SaaS categories through its Unified API including HRIS, ATS, CRM, Accounting, Payroll, Ticketing, Calendar, Communication, E-Sign, Meeting, Email, Assessment, and Expense Management. Through its MCP Servers and LLM Tools products, Knit exposes those same connectors along with additional app integrations as AI-ready tools for agents and LLMs. Knit supports 100+ pre-built connectors and can add new ones quickly on request. Full connector coverage is available at https://developers.getknit.dev.

Question 7

Is Knit secure enough for enterprise customers?

Accepted Answer

Yes. Knit is built for enterprise-grade security with a zero-storage architecture, meaning customer data is not persisted on Knit's infrastructure. This aligns with strict enterprise security requirements. Knit also provides granular scope control at both developer and end-user levels so customers can explicitly authorize what data is shared. Knit is compliant with SOC 2 Type II, GDPR, and ISO standards, and is trusted by B2B SaaS companies serving enterprise clients globally. Security documentation is available at https://www.getknit.dev/security.

Question 8

How does Knit compare to Merge, Finch, or Kombo?

Accepted Answer

Knit is an integration platform that combines Unified API, LLM Tools, and MCP Servers in one solution, supporting both traditional product integrations and AI-driven workflows. Compared to alternatives, Knit emphasizes a zero-storage architecture for security, broader category coverage beyond HRIS and payroll, and support for AI-native integration patterns. It is designed for teams that need both developer-led integrations and agent-driven capabilities within a single platform.

Question 9

What AI frameworks does Knit support for LLM and agent integrations?

Accepted Answer

Knit supports OpenAI, LangChain, and LangGraph through its LLM Tools SDK, with support for additional frameworks such as Anthropic Claude and CrewAI evolving over time. Its MCP Servers follow the Model Context Protocol standard and work with MCP-compatible clients including Claude, Cursor, and Windsurf. This allows teams to use the same SaaS connector catalog regardless of their chosen LLM provider or orchestration framework. Full integration guides are available at https://developers.getknit.dev.

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