phpcip/opensolr-mcp

Overview

MCP server that exposes Opensolr search as agent tools. Provides hybrid BM25 and kNN search, server-side embeddings, and RAG answers.

Best for

Best for
Developers building AI agents that need Opensolr search and RAG

Use cases

• Build agent tools that query Opensolr
• Run hybrid search combining keyword and vector relevance
• Generate RAG answers from indexed documents

How to use

Install

uvx opensolr-mcp

Tools exposed

• opensolr_search
• opensolr_search_by_image
• opensolr_ai_answer
• opensolr_add_documents
• opensolr_delete_documents
• opensolr_list_indexes
• opensolr_index_info
• opensolr_create_index
• opensolr_vector_regions

Tested with

Claude Desktop, Claude Code, Cursor, Windsurf

Example client config

{\n  "mcpServers": {\n    "opensolr": {\n      "command": "uvx",\n      "args": ["opensolr-mcp"],\n      "env": {\n        "OPENSOLR_EMAIL": "you@example.com",\n        "OPENSOLR_API_KEY": "YOUR_OPENSOLR_API_KEY"\n      }\n    }\n  }\n}

Notes

MCP server that exposes Opensolr search as agent tools. Provides hybrid BM25 and kNN search, server-side embeddings, and RAG answers.

0 stars on GitHub. Last updated 2026-09-09. Licensed MIT.

Use cases

• Build agent tools that query Opensolr
• Run hybrid search combining keyword and vector relevance
• Generate RAG answers from indexed documents

Pros

• Server-side embeddings reduce client work
• Hybrid search covers lexical and semantic matching
• RAG answers integrate directly into agent workflows

Cons

• No GitHub stars at time of listing
• Python only
• Vendor listed as Various, so ownership is unclear

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