iflow-mcp_mjochum64-solr_mcp_server

# MCP-Server for Apache Solr Document Search This project implements a Model Context Protocol (MCP) server that provides document search capabilities through Apache Solr. It allows Large Language Models to search and retrieve documents from Solr collections using the MCP standard. ## Features - MCP Resources for searching Solr documents - MCP Tools for advanced search and document retrieval - **Faceted Search** support for data exploration and aggregation - **Highlighting** support to show where search terms appear in results - Asynchronous communication with Solr using httpx - Type-safe interfaces with Pydantic models - Authentication support (JWT) - Comprehensive test suite - Docker-based Solr development environment ## Current Version **Version 1.5.0** - edismax Multi-Field Search & OAuth Auto-Refresh. Includes automatic OAuth token management and improved search results. Fully compliant with MCP Spec 2025-06-18. See [CHANGELOG.md](CHANGELOG.md) for details on all changes. ## What is MCP? The [Model Context Protocol (MCP)](https://github.com/modelcontextprotocol/python-sdk) is a standardized way for applications to provide context to Large Language Models (LLMs). This project implements an MCP server that exposes Apache Solr's search capabilities to LLMs, allowing them to: - Search for documents using simple or complex queries - Retrieve specific documents by ID - Filter, sort, and paginate search results ## Requirements - Python 3.11+ - Docker and Docker Compose (for the integrated Solr environment) - `uv` package manager (recommended) - MCP 1.21.0+ (fully compatible with 2025-06-18 specification) ## Installation 1. Install `uv` (if not already installed): ```bash pip install uv ``` 2. Install the project dependencies: ```bash uv install ``` Or with pip: ```bash pip install -e . ``` 3. Copy the environment template and configure it: ```bash cp .env.example .env # Edit .env with your Solr connection detai…