# Fyndling

> Use this tool when you need to plan medieval-themed events or find historical points of interest in Europe. Fyndling provides access to datasets of 2,000+ medieval events and permanent points of interest across 20 European countries, allowing for queries by location, radius, and date range. It is ideal for medieval market fans, reenactors, and living-history enthusiasts, as well as their AI assistants, to discover and organize relevant activities and destinations.

Canonical page: https://skillsregistry.net/skills/neongrau-fyndling-mcp  
JSON: https://api.skillsregistry.net/v1/skills/neongrau-fyndling-mcp

## Description

Built for medieval market fans, reenactors, and living-history enthusiasts — and the AI assistants that help them plan. Fyndling MCP gives AI clients direct access to two niche European datasets:

Medieval events — query 2,000+ markets, concerts, castle experiences, and living-history events across 20 European countries by location + radius + date range (updated weekly)
Permanent POIs — me

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jpfr0vmpsg)
- **Repository:** <https://github.com/neongrau/fyndling-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": "neongrau-fyndling-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/neongrau-fyndling-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/neongrau-fyndling-mcp/pull`

---
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