Content Tools
concertje.be
Provides access to concert listings, artist details, and venue information for Belgium, including today's concerts.
ENDPOINT 1
https://ai.concertje.be/mcp
MCP server metadata
- Name
- concertje
- Version
- 0.1.0
Known tools 6
concertje_get_concertGet full details for a single concert by its ID, including all artists, venue, ticket URL, and image.
Inferred read-onlyconcertje_list_venuesList all tracked concert venues in Belgium with their names, cities, and IDs.
Inferred read-onlyconcertje_get_artistGet artist details including Spotify data (genres, image, external URL) and all their upcoming concerts.
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.concertje]
url = "https://ai.concertje.be/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"concertje": {
"type": "http",
"url": "https://ai.concertje.be/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: concertje
Remote MCP URL: https://ai.concertje.be/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"concertje": {
"url": "https://ai.concertje.be/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"concertje": {
"type": "http",
"url": "https://ai.concertje.be/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "concertje",
"transport": "streamable-http",
"url": "https://ai.concertje.be/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Trust Data Available
BuiltWith Trust API v2 evidence for concertje.be was fetched 2026-08-23T15:15:14.539Z.
concertje.be is assessed as RestrictedContent: Domain runs gambling-related technology.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.