skills.rest
algolia
algoliaOFFICIAL
Explore all skills by this author →
WebsiteGitHub

algolia-mcp

Manage Algolia indices, analytics, and recommendations via MCP tools.

9|3|Updated Feb 11, 2026
Search Tags:#analytics#search#mcp#tools#workflows#recommendations#algolia
One-click install
npx skills add https://github.com/algolia/skills --skill algolia-mcp
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: algolia-mcp
Source: https://github.com/algolia/skills/tree/main/skills/algolia-mcp
Command: npx skills add https://github.com/algolia/skills --skill algolia-mcp

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

MCP orchestration for Algolia enables teams to manage indices, analytics, and recommendations from a single, scalable workflow, reducing manual coordination and error-prone handoffs.

Core Features & Use Cases

  • Unified MCP orchestration: perform index discovery, analytics reporting, and recommendations retrieval with consistent parameter handling.
  • Production-ready workflows: supports discovery, tool invocation, parameter validation, and result interpretation for common tasks (search quality audits, performance reviews, and recommendation experiments).
  • Extensibility: aligns with connection setup, analytics interpretation, and recommendation modeling guidance to accelerate integration.

Quick Start

Configure your MCP client and run the discovery workflow to validate the connection and begin using MCP tools.

Frequently Asked Questions about algolia-mcp

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate Algolia analytics and index management workflows?▼

Automate Algolia analytics reporting by invoking MCP tools to retrieve performance metrics and interpret search quality audits. The workflow handles discovery, tool invocation, and result interpretation to reduce manual data extraction efforts in production environments.

What is the best way to retrieve Algolia recommendations using MCP?▼

Retrieve Algolia recommendations by running model-driven recommendation experiments through MCP tool invocation. The workflow enforces permission checks and index scoping while applying snake_case tool names to ensure accurate, production-ready recommendation retrieval.

Can I use facetFilters and numericFilters with Algolia MCP workflows?▼

Yes, you can use facetFilters and numericFilters within Algolia MCP workflows for refined search queries. The orchestration supports consistent parameter handling and validation across index discovery, analytics reporting, and recommendation retrieval tasks.

How do I validate my MCP client connection for Algolia indices?▼

Validate your MCP client connection by running the discovery workflow, which uses algolia_search_list_indices to confirm connectivity. This step ensures your environment is correctly configured before invoking analytics or recommendation tools.

Does Algolia MCP orchestration enforce permission checks for index scoping?▼

Yes, Algolia MCP orchestration enforces permission checks and index scoping during tool invocation. This ensures that analytics reporting and recommendation experiments remain secure and properly bounded within your production environment.

Related Skills

Explore More Data & Analytics Skills→
mongodbmongodb
166

mongodb-mcp-setup

Guide MongoDB MCP server authentication through connection methods and environment variables.

Official
Intermediate
HeyvhuangHeyvhuang
339

review-seo-audit

Identify and report SEO issues with prioritized remediation checklists.

Community
Advanced
vm0-aivm0-ai
76

bitrix

Manage Bitrix24 CRM, tasks, and users via REST API with curl.

Official
Basic
trusted-americantrusted-american

algolia

Index Firestore data into Algolia for real-time search across multiple domain entities.

Official
Advanced