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Claude's ability to call external functions, APIs, and services to extend its capabilities. It lets Claude do things like search the web, run code, or interact with databases.
Testing Claude on real-world electronics design
We asked Claude Fable 5.2 to design three electronic devices from short prompts: a speakerphone, a voice-assistant hub, and a handheld virtual pet. Diode Computers built working prototypes from its files.
Previewing the Model Hardware Standard
We’re opening a research preview of the Model Hardware Standard (MHS), a shared specification for AI agents to safely operate physical devices, to a first group of scientific research labs and advanced manufacturers.
Claude plays robotics
In project Fetch, we examined how humans can use models to get robots to perform complex tasks. Now, we investigate many models on a large variety of different robotics tasks in simulation, to see how good models are at controlling robots themselves.
Introducing Claude Tag
Claude Tag is a new way for teams to work with Claude.
Paving the way for agents in biology
In this Anthropic Science post, Laura Luebbert argues that we need to make biological data infrastructure more agent-friendly.
Anthropic acquires Stainless
Anthropic is acquiring Stainless, a leader in SDKs and MCP server tooling.
Claude for Creative Work
We’re releasing a set of connectors that let Claude work alongside the software creative professionals rely on, so creatives can extend their reach.
Trustworthy agents in practice
AI “agents” represent the latest major shift in how people and organizations are using AI. Here, we explain how they work and how we ensure they're trustworthy.
Scaling Managed Agents: Decoupling the brain from the hands
Harnesses encode assumptions that go stale as models improve. Managed Agents—our hosted service for long-horizon agent work—is built around interfaces that stay stable as harnesses change.
Eval awareness in Claude Opus 4.6’s BrowseComp performance
Evaluating Opus 4.6 on BrowseComp, we found cases where the model recognized the test, then found and decrypted answers to it—raising questions about eval integrity in web-enabled environments.
Demystifying evals for AI agents
Guidance on how to design more rigorous and useful evals for agents across a range of agent architectures and use cases in real-world deployment.
Project Vend: Phase two
In June, we revealed that we’d set up a small shop in our San Francisco office lunchroom, run by an AI shopkeeper. It was part of Project Vend, a free-form experiment exploring how well AIs could do on complex, real-world tasks. How has Claude's business been since we last wrote?
Donating the Model Context Protocol and establishing the Agentic AI Foundation
Anthropic is donating the Model Context Protocol to the Linux Foundation's new Agentic AI Foundation, co-founded with Block and OpenAI.
Introducing advanced tool use on the Claude Developer Platform
We’ve added three new beta features that let Claude discover, learn, and execute tools dynamically. Here’s how they work.
Code execution with MCP: Building more efficient agents
Learn how code execution with the Model Context Protocol enables agents to handle more tools while using fewer tokens, reducing context overhead by up to 98.7%.
Equipping agents for the real world with Agent Skills
Claude is powerful, but real work requires procedural knowledge and organizational context. Introducing Agent Skills, a new way to build specialized agents using files and folders.
Effective context engineering for AI agents
We explore the emerging art of context engineering and offer a refined mental model for building steerable, effective agents.
Writing effective tools for agents — with agents
In this post, we describe our most effective techniques for improving performance in a variety of agentic AI systems.
Project Vend: Can Claude run a small shop? (And why does that matter?)
We let Claude run a small shop in the Anthropic office. Here's what happened.
Desktop Extensions: One-click MCP server installation for Claude Desktop