The Algolia Productivity MCP now supports Claude Code, Cursor, VS Code, Gemini CLI, and Codex. Developers can connect to Algolia (via Dashboard OAuth) directly from their preferred Al coding environment and query Algolia without switching context. Each AI assistant is recognised by the MCP and matched against a redirect URI, without needing to enter a Client ID. Click here to learn more.
Agent Studio now includes a dedicated search settings panel, letting teams configure search parameters specifically for their agents - separate from existing index settings. Defaults (hits per page, controlled attributes, facets) are set based on evaluation findings and applied automatically when connecting a new index. All settings are fully customizable.
Agent Studio's search tool has been upgraded with improved relevance, faster response times, and reduced cost per query. Agents now benefit from more accurate, context-aware results across a wider range of query types. AI-generated tool descriptions also help agents select and invoke the right search tool at the right time, improving overall agent reasoning quality.
A new Guardrails configuration in the Safety Controls tab allows defining custom categories to filter harmful or off-topic content across input, output, or both. Each category includes a description, examples, and an optional fallback response, helping teams control how agents handle sensitive or irrelevant queries. This improves response quality, reduces risk, and ensures interactions stay aligned with the intended use case. Click here to learn more.
The Agent Studio widget search bar now features an AI mode button and context-aware prompt suggestions. As shoppers type, relevant suggested prompts appear that transition them directly into the chat experience with a single click. The AI mode button provides a persistent, prominent entry point from search to natural language conversation, reducing friction for users moving between search and chat.
Agent Studio now includes a dedicated Getting Started page and Quick Setup flow for agents. A guided configuration wizard covers data source selection, prompt configuration, entry points, prompt suggestions, conversation features, and safety controls in a single flow. Pre-configured agent templates are available to reduce setup time and accelerate time to first deployment.
AIgolia Assist can now fetch a read-only index configuration when generating responses. This allows customers to receive advice from Assist that is tailored to their specific application. Increasing the context available to Assist reduces manual effort required to clarify the details of your situation and makes it more likely responses get it right on the first try. We will show the retrieved settings in Assist to help users verify.
Prompt suggestions are now available in the chat experience. When using the InstantSearch chat component, users can enable or disable contextual prompt suggestions directly within the Agent Studio interface. The prompt guiding these suggestions can be edited, and users can configure the max number of suggestions as well as the maximum word count. This provides greater control and flexibility when designing chat interactions, helping deliver more relevant and consistent conversational experiences. Click here to learn more.
A new component, Filter Suggestions, is now available to enhance search and discovery interfaces with the Agent Studio. It can be added to search results or product listing pages to suggest relevant filters based on user queries. These suggestions are grounded in available filters within the index, ensuring accuracy and reliability. By proactively surfacing the most relevant filters, this feature helps users narrow results faster, explore content more efficiently, and achieve higher-quality search outcomes. Click here to learn more.
The Public MCP now offers enhanced configuration options, giving users greater flexibility when setting up their MCP servers. Users can toggle individual tool groups, such as Search or Recommend, to create customized configurations. Additionally, AI-generated index descriptions can now be automatically created to reduce manual setup work and speed up initial configuration, helping teams start faster and maintain consistency across environments. Click here to learn more.
