This is a submission for the Algolia MCP Server Challenge
What I Built
A Cursor-powered integration that “listens” for a natural-language Run setup for project "X" command and, via Algolia’s MCP Server:
- Discovers your Algolia applications and indices
- Extracts full index settings (ranking, facets, typo tolerance, analytics flags)
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Generates a version-controlled
ALGOLIA_PROJECT_CONFIG.mdwith change history - Idempotently tracks updates so your search config never drifts
Why it matters: this tool makes your search infrastructure self-documenting, resilient to LLM context limits, and instantly reproducible for teams.
Demo
Algolia MCP Cursor Integration
This is a submission for the Algolia MCP Server Challenge
What I Built
A Cursor-powered integration that „listens“ for a Run Setup for project "X" command and, using Algolia’s MCP Server, automatically discovers your application, indices, and settings—and writes them into a persistent ALGOLIA_PROJECT_CONFIG.md file. This ensures your search configuration lives in your repo (not just in LLM context), survives restarts, and can be version-controlled alongside your code.
🚀 Quick Start
Prerequisites
- Cursor IDE installed
- MCP (Model Context Protocol) server configured
1. Setup Cursor Rules
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Copy the
algolia-main-rules.mdcandalgolia-reference.mdcfiles to your Cursor rules folder. -
The rule will automatically activate when Cursor detects Algolia-related queries
2. Initialize Your Project
Simply ask Cursor:
Run setup for project "your-algolia-app-name"
Or more specifically:
List apps I have in Algolia and if it is the only one, run setup project for the app
3. That’s It! 🎉
The integration…
Live demo: https://cursor.dev/algolia-mcp-cursor
How I Utilized the Algolia MCP Server
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Authentication & Discovery
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getUserInfo()→getApplications()→listIndices()
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Settings Extraction
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getSettings()per index → collected ranking, faceting, searchable attributes, typo rules, analytics config
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Config Generation
- Rendered into structured Markdown (see
algolia-main-rules.mdc) - Appended a timestamped Recent Changes log
- Rendered into structured Markdown (see
-
Search & Data Ops (bonus)
- Demonstrated
searchSingleIndex(),saveObject(),batch()and analytics calls (getTopSearches(),getNoResultsRate()) all reading defaults from the generated file
- Demonstrated
📊 Key Takeaways
Project Memory
- Problem: Algolia settings vanish when LLM context resets
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Solution: Persistent
ALGOLIA_PROJECT_CONFIG.mdfile stores all configuration - Benefit: Consistent search behavior across development sessions
Automation
- Problem: Manual setup for each new project is time-consuming
- Solution: Embedded MCP calls in Cursor rules automate discovery
- Benefit: Developers can bootstrap new projects in seconds