Knit AI

• Over 150 built-in SaaS integrations (CRMs, HRIS, accounting, ATS) for AI agents to act on.
• Unified SDK (Python, Node.js) so you can plug in integrations in minutes.
• Pre-built LLM-ready tools that let your agents call APIs like functions.
• Managed authentication and OAuth flows handled by the platform to simplify dev work.
• Framework-agnostic design so you can use your existing stack (LangChain, LangGraph, OpenAI etc).
• Ability to schedule syncs or trigger real-time actions (e.g., update a record, create ticket).
• Toolkit for embedding agent actions into workflows: read, write, trigger changes.
• Publisher of MCP (Model Context Protocol) servers so AI agents can execute real world operations.
• Exportable dashboards and logs for monitoring integration and agent behaviour.
• Scalable enterprise-grade architecture with data security, end-user control and multi-tenant support.

Knit for AI Agents is an AI integration platform designed to connect AI agents with SaaS applications and business systems. Instead of requiring developers to build and maintain separate integrations for every application, Knit provides a unified layer of APIs, tools, authentication, and data synchronization that allows AI agents to interact with connected services through a common development workflow.

The platform provides access to 150+ SaaS integrations covering applications such as CRM, accounting, HR, recruiting, calendars, and other business categories. Developers can use Knit’s LLM-ready tools to expose application APIs as functions that AI agents can identify and call. These tools include descriptions designed specifically for language models, helping agents select appropriate actions based on the user’s request.

Knit also handles authentication for connected applications, including OAuth and credentials, reducing the amount of authentication infrastructure developers need to build themselves. Its SDK supports data synchronization for records such as contacts, tasks, and events, with configurable synchronization options depending on the plan and integration requirements.

For AI development, Knit supports OpenAI, LangChain, and LangGraph, with additional frameworks listed as part of its expanding roadmap. The platform also provides MCP server capabilities, allowing developers and individuals to connect AI clients with external tools and services. Its AI integration offering can support both data retrieval and actions, including use cases such as booking meetings and updating business records.

Knit provides a free Launchpad plan for experimenting with remote MCP servers and creating up to five servers, with 100 API calls per month. The Individual plan costs $29 per month and includes 5,000 API calls per month, unlimited MCP servers, and chat support. Enterprise pricing is customized for organizations that need features such as managed authentication, multi-tenancy, custom MCP tools, role-based access control, and additional enterprise controls.

Frequently Asked Questions

What is Knit for AI Agents?

Knit for AI Agents is an integration platform that lets developers connect AI agents with SaaS applications through LLM-ready tools, APIs, authentication, and MCP servers. It is designed to reduce the work required to build individual integrations for different business applications.

How many applications can Knit connect to?

Knit currently advertises 150+ SaaS integrations for its AI SDK and integration platform. These integrations cover categories such as CRM, accounting, HR, recruiting, and other business applications.

Can AI agents take actions through Knit?

Yes, Knit supports actionable AI integrations that allow agents to perform operations in connected applications rather than only retrieve information. Examples provided by Knit include booking meetings and updating business records.

How much does Knit for AI Agents cost?

Knit provides a free Launchpad plan with up to five MCP servers and 100 API calls per month. The Individual plan starts at $29 per month and includes 5,000 API calls monthly, while Enterprise pricing is customized.

Does Knit support MCP servers?

Yes, Knit provides remote MCP servers and tools for creating MCP servers. The free Launchpad plan supports up to five servers, while the Individual plan provides unlimited MCP servers.

Which AI frameworks does Knit support?

Knit currently lists support for OpenAI, LangChain, and LangGraph for its AI SDK. Its website also identifies additional frameworks such as Claude and CrewAI as forthcoming support.

Does Knit handle authentication for AI integrations?

Yes, Knit provides managed authentication for connected applications and handles OAuth and credentials as part of its integration layer. Enterprise plans additionally provide embedded authentication and other controls for multi-user deployments.

When was Knit launched?

Knit publicly launched on Product Hunt on May 4, 2023 as Knit API. Its current AI-agent offering is a later expansion of the platform’s integration capabilities.

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