French AI startup Mistral AI has launched its Agents API, a comprehensive framework enabling developers and enterprises to build intelligent AI agents capable of executing complex tasks, coordinating multi-step workflows, and maintaining long-term context. The API integrates key functionalities such as code execution, web search, image generation, retrieval-augmented generation (RAG), memory, and the Model Context Protocol (MCP), which supports interoperability and multi-agent handoffs. This release aligns Mistral with industry leaders like OpenAI and Google, which have converged on similar agent capabilities as a standard stack. The company also introduced Devstral, an open-source coding model optimized for agent use that outperforms competitors like Gemma 3 27B and DeepSeek V3 on the SWE-Bench Verified benchmark, and can run locally on hardware such as a single RTX 4090 or a Mac with 32GB RAM. Additionally, the Model Context Protocol (MCP) has gained traction across platforms, enabling AI agents to access real-time, structured data streams without relying on APIs or polling, facilitating seamless communication across different vendors. Complementary developments include the open-source release of the NebulaGraph MCP Server, which integrates AI with graph databases, and the adoption of MCP by other AI frameworks to enhance autonomous on-chain AI agents and natural language interfaces.