Analysis

Anthropic’s Stainless deal underscores monday.com’s AI connector strategy

Anthropic bought Stainless, and that puts the spotlight on the plumbing behind AI agents: SDKs, MCP, and safe access to real business systems.

Lauren Xu··2 min read
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Anthropic’s Stainless deal underscores monday.com’s AI connector strategy
Source: uctoday.com

Anthropic’s move to buy Stainless is a reminder that the AI race is no longer just about better models. It is also about the connectors, APIs and permissions that let software actually do work inside other software, which is exactly the layer monday.com is building around its own AI push.

Anthropic said Stainless has powered every official Anthropic SDK since the earliest days of the Claude API, and that hundreds of companies use it for SDKs, CLIs and MCP servers. The startup, founded in 2022, generates code across TypeScript, Python, Go, Java, Kotlin and more. Anthropic also said it created MCP to make agent connectivity possible. Taken together, the deal says the market now values the infrastructure that turns a model into a worker.

AI-generated illustration
AI-generated illustration

That matters for monday.com because its own developer stack is built around the same idea. The company describes its Platform API as a GraphQL API for building apps, integrations and AI agents, and says the platform includes SDKs, an MCP server, webhooks and automation tools. monday.com says it has two MCP servers, Platform MCP and Apps MCP, and calls Platform MCP the primary integration surface. In its AI documentation, the company says the platform is used by more than 250,000 organizations.

The architecture is the story. monday.com’s GitHub repository describes MCP as an open framework for connecting agents into its work OS, giving them secure access to structured data and tools so they can take action. That is the difference between a chatbot that answers questions and an agent that can touch the workflows people rely on every day. For engineers, that means developer experience, permissions and runtime reliability are not side issues. They are the moat. For product managers, extensibility and tool access are becoming core product features, not add-ons. For sales teams, the buyer conversation is shifting toward whether AI can connect cleanly to a customer’s stack, not just whether the model sounds impressive.

The timing is notable for monday.com, which said in its first-quarter 2026 results that revenue rose 24 percent year over year to $351.3 million. It also reported 65,016 paid customers with more than 10 users, up 7 percent from a year earlier, and net cash from operating activities of $104.7 million. In the same update, monday.com said it launched an AI Work Platform with native agents and shifted to consumption-based pricing.

For a company born in Tel Aviv and now selling to enterprise teams worldwide, the message is clear: the winner in workplace AI will not just generate output. It will connect to the systems where the work actually happens.

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