Clarifai 11.5 Offers Support for AI Agents and Model Context Protocol

Clarifai is rolling out two key features that change how developers build AI using Clarifai, introducing support for AI agents and the Model Context Protocol (MCP).

AI agents are a big step beyond single-task AI models, instead of just doing a single thing, an agent can reason, plan, and take multiple actions to achieve a larger goal, according to the company.

With this release, it will be easier to build these agents on Clarifai, enabling users to:

• Create goal-oriented AI: Design systems that work towards specific objectives, not just providing isolated answers.
• Chain together AI capabilities: Combine multiple models and tools on our platform (or external ones) in sequence to solve more complex problems.
• Automate multi-step processes: Reduce manual effort by having AI handle entire workflows.

For AI agents to be truly useful, they need access to real-time information from outside their internal data. The Model Context Protocol (MCP) solves this by providing a standardized way for AI models and agents to interact with external data sources and APIs.

Clarifai has integrated MCP, allowing users to:

• Connect agents to your data: Bridge your AI agents with your company's databases, data lakes, and other internal systems.
• Access live data: Give your agents current information from external APIs, like financial data, news, or sensor readings.
• Build custom data bridges: Create your own MCP servers to tailor how your AI agents access and use external context.

Combining AI agents with MCP means AI can not only think and plan but also actively fetch and use real-world information, making AI applications more powerful and relevant, the company said.

Additionally, Clarifai now offers an OpenAI-compatible API endpoint, allowing users to utilize existing OpenAI code and workflows to run inferences with Clarifai models, including those that integrate or wrap OpenAI models.

The compatibility layer automatically translates OpenAI-style requests into Clarifai API calls, so users can access Clarifai’s broad model library as custom tools within their OpenAI-based projects.

Other new features include published models such as:

• The latest DeepSeek-R1-0528-Qwen3-8B is now available on the platform. This new model builds on DeepSeek-R1 v2 with significant enhancements in reasoning and logic, driven by more efficient computation and optimization. It approaches the performance levels of leading models such as o3 and Gemini 2.5 Pro.
• Published Qwen2_5-Coder-7B-Instruct, a code-specific LLM series (0.5B–32B) with improved code generation, reasoning, and fixing. Trained on 5.5T tokens, the 32B model rivals GPT-4o in coding capabilities.
• Published Claude Opus 4, a state-of-the-art large language model from Anthropic. It supports text and multimodal inputs and can generate high-quality, context-aware text completions, summaries, and more.

 For more information about this news, visit www.clarifai.com.