AIDataNordic/alexandria-mcp

Overview

Provides semantic search over 4.6 million text chunks from 20,000 classical philosophy and humanities works. Built for AI agents using FastMCP, it enables retrieval of relevant passages via vector similarity. The corpus covers a broad range of ancient and classical texts.

Best for

Best for
Developers building AI agents that need to query classical philosophy and humanities texts

Use cases

• Searching and retrieving passages from classical philosophy works
• Integrating humanities knowledge into AI agent workflows
• Building semantic search applications over large curated text corpora

Notes

Provides semantic search over 4.6 million text chunks from 20,000 classical philosophy and humanities works. Built for AI agents using FastMCP, it enables retrieval of relevant passages via vector similarity. The corpus covers a broad range of ancient and classical texts.

0 stars on GitHub. Last updated 2026-05-28. Licensed MIT.

Use cases

• Searching and retrieving passages from classical philosophy works
• Integrating humanities knowledge into AI agent workflows
• Building semantic search applications over large curated text corpora

Pros

• Large specialized corpus of 20,000 classical works
• Designed specifically for AI agent integration via FastMCP
• Covers a wide range of philosophy and humanities texts

Cons

• No stars on GitHub indicates low community adoption or early stage
• Limited to classical philosophy and humanities, not general knowledge
• Requires setup with FastMCP and Python, may not be plug-and-play

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.