# Solarium

> Use this tool when you need to efficiently manage and search large document collections using semantic search capabilities. Solarium solves problems related to information retrieval, document organization, and knowledge base management by providing a robust interface for querying and retrieving relevant documents. It accepts text-based queries as input and returns relevant documents as output, ideal for use cases where intuitive and accurate document search is crucial.

Canonical page: https://skillsregistry.net/skills/doomsun-dev-solarium  
JSON: https://api.skillsregistry.net/v1/skills/doomsun-dev-solarium

## Description

A knowledge base MCP server backed by Qdrant vector database with local embeddings for semantic search and document management.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xjkadk7vtl)
- **Repository:** <https://github.com/doomsun-dev/solarium>

## 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": "doomsun-dev-solarium"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/doomsun-dev-solarium` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/doomsun-dev-solarium/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