Full-Text Search
+Execute complex search queries across your collections with support for boolean operators and phrase queries
+This project is incubating and has not made any releases yet.
++ A comprehensive set of AI-ready tools to search, index, and manage your Solr collections. Designed to work seamlessly with Claude and other LLM assistants through the Model Context Protocol. +
+ +Execute complex searches with filters, faceting, and pagination—all driven by natural language instructions.
+Execute complex search queries across your collections with support for boolean operators and phrase queries
+Filter results by field values with support for ranges, wildcards, and complex filter queries
+Get faceted counts across dimensions to power AI-driven analytics and categorization
+Index documents in multiple formats with automatic field normalization and error handling.
+Index documents in JSON, CSV, or XML formats with automatic parsing and validation
+Automatically sanitize and normalize field names to match Solr's schema requirements
+Handle complex nested documents and multi-valued fields with intelligent flattening
+Introspect and understand your collections and schemas dynamically within your AI workflows.
+List and inspect all available collections in your Solr instance
+Dynamically discover field types, analyzers, and schema configuration for intelligent indexing
+Access detailed field information including type, analysis chains, and configuration
+Deploy with confidence using proven Spring Boot technologies and comprehensive error handling.
+Full implementation of the Model Context Protocol specification for AI assistant integration
+Run in STDIO mode for Claude Desktop or HTTP mode for remote deployments and testing
+Comprehensive error reporting and validation ensures clear feedback to AI assistants
++ A standards-compliant Model Context Protocol server that brings powerful search, indexing, and collection management capabilities to Claude and other LLM assistants. Built with Spring AI, backed by SolrJ, and ready to deploy anywhere. +
+ ++ Integrate Apache Solr directly into your AI workflows. Execute complex searches, manage indexes, and analyze your data—all through natural language with an AI assistant. +
+Complex queries, filtering, faceting, and pagination through a natural language interface
+Index documents in JSON, CSV, or XML formats with automatic field name normalization
+Implements the Model Context Protocol specification for seamless AI integration
+Manage and query multiple Solr collections and schemas through a unified interface
+Deploy as a Docker container, Spring Boot application, or via HTTP/STDIO transports
+Built on proven technologies with comprehensive error handling and logging
++ The Apache Software Foundation provides support for the Apache community of open-source software projects. The Apache projects are defined by collaborative consensus based processes, an open, pragmatic software license and a desire to create high quality software that leads the way in its field. Apache Lucene, Apache Solr, Apache PyLucene, Apache Open Relevance Project and their respective logos are trademarks of The Apache Software Foundation. All other marks mentioned may be trademarks or registered trademarks of their respective owners. +
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