This is a submission for the Algolia MCP Server Challenge
What I Built
Demo
How I Utilized the Algolia MCP Server
What it Does:
Uses Algolia MCP Server to index and query large-scale documentation datasets (e.g., Python, JavaScript, Docker, AWS docs).
Integrates with Claude API or OpenAI for summarization and related-question generation.
Provides a smart sidebar assistant that surfaces:
Contextual code snippets
FAQ-style answers
Related sections in real time
Built with a React + Node.js stack for a seamless developer experience.
Key Takeaways
Tech Stack:
Algolia MCP Server
OpenAI API (text-davinci or gpt-4-turbo)
React.js + TailwindCSS
Node.js/Express
n8n.io for data enrichment workflows
MongoDB (optional for storing user preferences)
How it Uses Algolia MCP:
Indexes markdown or HTML documentation pages using MCP's indexing capabilities
Queries are enriched with vector embeddings to provide semantic search
Algolia is used for real-time search suggestions, result ranking, and filtering
The MCP AI capabilities help extract summaries and related questions
💡 Why it Matters:
Modern technical documentation is massive and grows quickly. Developers lose time scrolling or switching tabs. SmartDoc AI solves this by:
Giving accurate search results instantly
Displaying relevant help inline
Reducing context-switching with a floating assistant
Top comments (7)
yes sure. I will make an update..
the project is probably still in development...
Please I need your assistance I am having issues setting up the MCP server it's so complicated
what exactly doesn't work?
I tried running it on my windows machine and the npm build comman doesn't work., is there an easier way I can do it, can you help me with instructions on how you configured yours
npm install