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Improvado connects Algolia to Claude, ChatGPT, and other AI agents through an MCP server. Ask about search trends, zero-results queries, click-through rates, and index performance in plain English — without digging through the Algolia dashboard or building custom analytics.
Stop scrolling through Algolia's analytics dashboard. Your AI agent queries search trends, click-through rates, no-results queries, and index health directly through the MCP server — and surfaces insights you didn't know to ask about.
Your AI agent reads harmonized data across 500+ platforms. "Cost" in Google Ads and "spend" in Meta Ads resolve to the same field automatically.
Your AI agent can push synonym rules, update query rules, and manage index settings in Algolia directly from a conversation. The MCP server handles the Algolia API calls — describe the change, review, confirm.
250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.
Set up automated watches on the search metrics that signal user friction. Your AI agent monitors Algolia search quality continuously — alerting you when no-results rates spike, CTR drops, or index freshness falls behind.
Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.
Your AI agent can push synonym rules, update query rules, and manage index settings in Algolia directly from a conversation. The MCP server handles the Algolia API calls — describe the change, review, confirm.
Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.
When users search for something and get no results, they leave — but this data sits buried in Algolia analytics and rarely gets actioned. Most teams check it infrequently or not at all, missing weeks of search failures before they surface.
Improvado extracts Algolia search analytics continuously. Your AI agent can surface zero-results queries daily, cluster them by intent, and suggest synonym rules or catalog additions that would resolve them — turning a passive report into an action list.
As product catalogs grow, search relevance often degrades without anyone noticing. Click-through rates drop slowly, conversions from search decline, and users switch to browsing — but there's no alert, just a gradual erosion of search utility.
The MCP server lets your AI agent monitor CTR trends over time, identify queries where click position has shifted, and flag relevance regressions. Combine this with index configuration analysis to diagnose and fix degradation before it costs conversions.
Algolia index settings — searchable attributes, custom ranking, facet configuration, query rules — are typically set once and forgotten. As the business evolves, these settings become outdated, but reviewing and updating them requires developer involvement and often gets deprioritized.
Improvado's MCP server makes Algolia index configuration queryable and writable through natural language. Non-technical teams can ask the AI agent to explain current settings, suggest optimizations, and apply changes — without a developer ticket.
Same MCP connection, different workflows for every team member. Agency CEOs get portfolio health. Media Strategists get campaign QA. Analysts get cross-platform reports. Account Managers get auto-generated QBR decks. Creative Directors get performance-based briefs.
Each role asks in natural language. The MCP server handles the complexity — rate limits, auth, schema normalization, governance — behind the scenes.
Algolia does not currently offer an official MCP server. Improvado provides a hosted MCP server that connects Algolia to Claude, ChatGPT, Cursor, and other AI tools. Your Algolia application is authenticated once — no local setup or API key management required.
Search analytics (queries, clicks, conversions, CTR, no-results rate), index metadata, query rules, synonym configurations, and facet usage. Improvado normalizes Algolia's Analytics and Search APIs into a structured model that AI agents can query in natural language across all your indices.
Yes. The MCP server supports write operations: creating and updating synonym rules, query rules, and index settings. Each write action is surfaced for your review before it executes in Algolia — your AI agent proposes changes based on data, you approve before they go live.
The Algolia dashboard shows you data passively — you have to navigate to the right report to find issues. Improvado's MCP server lets your AI agent proactively surface problems, explain their business impact, suggest fixes, and apply them in the same conversation. It also combines Algolia search data with your other marketing and product data sources for cross-platform analysis.
Improvado MCP can extract Algolia search analytics including query volume, click-through rate, no-results rate, top searches, and conversion events. Index configuration metadata — such as searchable attributes, custom ranking settings, and synonyms — can also be surfaced, which is useful for search quality audits. Record-level index contents are accessible for structured product or content catalogues. This gives AI agents a complete view of both search behavior and the underlying index setup.
Improvado MCP supports connecting multiple Algolia applications and querying across indices within each application. AI agents can compare search performance metrics between indices — for example, a product search index versus a help center index — or aggregate analytics across all indices in an application. Access is governed by the Algolia API key you provide, so you can scope the integration to specific indices by issuing a restricted key with read-only permissions.
Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.
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