- Algolia Public MCP. Application-scoped search and recommendations for selected indices and Recommend models in one Algolia application. Use it to expose data to external or customer-facing AI assistants.
- Algolia Productivity MCP. User-scoped exploration and analysis for people in your organization across the Algolia applications and indices allowed by each user’s permissions.
Both MCP servers are read-only: they search, recommend, and (for Productivity MCP) report analytics.
Neither one creates or modifies indices, records, or settings.
To make changes, use the Algolia CLI, the dashboard, or an API client.
Algolia Public MCP
What it’s for:- AI-facing search and recommendations on a defined set of indices.
- Integrate with MCP-compatible platforms like ChatGPT, Claude, Vertex AI, Perplexity, Amazon Q, Microsoft Copilot, or Salesforce Agentforce.
- Support production use cases such as product discovery, support bots, and customer-facing AI experiences.
- Tool-scoped interface that exposes search and recommend without exploding tool counts.
- Usage counts toward your existing Algolia plan. There’s no separate MCP fee.
Algolia Productivity MCP
What it’s for:- Exploration, analysis, and internal productivity with LLM-powered tools.
- Personal workflows where your own Algolia permissions determine access.
- Business intelligence-style questions and one-off operational checks like spotting trending searches or zero-result queries.
- Enable once per account. Productivity MCP is enabled once for the account. This turns the feature on.
- Sign in per user. Signing in is separate from enabling: each user signs in with their own Algolia login, which identifies them and sets what they can access.
- Read-only index access, plus analytics tools.
- Registry-visible. It appears in public MCP directories.