# Solr Vector Search

> Use this tool when you need to perform advanced document retrieval from existing search indexes, combining keyword precision with semantic understanding. It solves problems of contextual search and information retrieval from structured data repositories without direct database access. The Solr Vector Search tool takes in search queries and document collections, and outputs relevant search results with vector embeddings, ideal for use cases requiring hybrid search capabilities.

Canonical page: https://skillsregistry.net/skills/allenday-solr-vector-search  
JSON: https://api.skillsregistry.net/v1/skills/allenday-solr-vector-search

## Description

Solr MCP provides a bridge between AI assistants and Apache Solr search indexes, enabling powerful hybrid search capabilities that combine keyword precision with vector semantic understanding. Built by Allen Day, this Python implementation uses FastMCP to expose Solr's search functionality through a standardized protocol, with features including vector embeddings generation via Ollama (using nomic-embed-text), unified collections for storing both document content and embeddings, and Docker integration for easy deployment. The server is particularly valuable for workflows requiring advanced document retrieval from existing Solr indexes, allowing AI assistants to perform contextual searches against structured data repositories without direct database access.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/allenday-solr-vector-search)
- **Repository:** <https://github.com/allenday/solr-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "allenday-solr-vector-search"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/allenday-solr-vector-search` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/allenday-solr-vector-search/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt