Knowledge Management · Search Tools

Solr Vector Search logo

Solr Vector Search

allenday/solr-mcp

A Python package for accessing Apache Solr indexes via Model Context Protocol (MCP). This integration allows AI assistants like Claude to perform powerful search queries against your Solr indexes, combining both keyword and vector search capabilities.

Install

pip install poetry
GitHub stars
2
Author
@allenday
Category
Knowledge Management, Search Tools
License
MIT
Updated
Oct 6, 2026

Features

  • MCP Server: Implements the Model Context Protocol for integration with AI assistants

  • Hybrid Search: Combines keyword search precision with vector search semantic understanding

  • Vector Embeddings: Generates embeddings for documents using Ollama with nomic-embed-text

  • Unified Collections: Store both document content and vector embeddings in the same collection

  • Docker Integration: Easy setup with Docker and docker-compose

  • Optimized Vector Search: Efficiently handles combined vector and SQL queries by pushing down SQL filters to the vector search stage, ensuring optimal performance even with large result sets and…

Details on this page are taken from the project's README. Open README

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