# Lore DB MCP Server

> Use this tool when you need to efficiently manage and query a local knowledge base, leveraging semantic search and vector-based indexing to retrieve relevant documents. It solves problems related to information retrieval, data verification, and document management, providing a flexible interface via HTTP or stdio for CRUD operations and reindexing. Ideal for applications requiring advanced search capabilities and knowledge base management.

Canonical page: https://skillsregistry.net/skills/andreehultgren-lore-db  
JSON: https://api.skillsregistry.net/v1/skills/andreehultgren-lore-db

## Description

Provides tools for semantic search, CRUD, verification, and reindexing of documents in a local vector-based knowledge base, usable via HTTP or stdio.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **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/t58my7jsw4)
- **Repository:** <https://github.com/andreehultgren/lore-db>

## 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": "andreehultgren-lore-db"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/andreehultgren-lore-db` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/andreehultgren-lore-db/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