# io.github.marian-kamenistak/elc-conference-mcp-tickets

> Use this tool when you need to efficiently browse and purchase tickets for the ELC Conference 2026 in Prague, leveraging AI for a streamlined experience. It solves the problem of manual ticket searching and buying, providing a convenient interface for users to input their ticket preferences and receive available options as output. Ideal for engineering leaders and attendees looking to secure their spot at the conference with ease.

Canonical page: https://skillsregistry.net/skills/io-github-marian-kamenistak-elc-conference-mcp-tickets  
JSON: https://api.skillsregistry.net/v1/skills/io-github-marian-kamenistak-elc-conference-mcp-tickets

## Description

Browse and buy ELC Conference 2026 engineering leadership tickets in Prague via AI.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 0.1.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.marian-kamenistak%2Felc-conference-mcp-tickets)
- **Repository:** <https://github.com/marian-kamenistak/elc-conference-mcp-tickets>

## Use it

MCP endpoint published by the skill: `https://mcp.elc-conference.io/mcp`

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": "io-github-marian-kamenistak-elc-conference-mcp-tickets"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-marian-kamenistak-elc-conference-mcp-tickets` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-marian-kamenistak-elc-conference-mcp-tickets/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