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nerdearla.com

Provides tools to search Nerdearla conference sessions and retrieve event details such as dates, locations, and registration links.

WebMCP1 endpoint2 known toolsFirst detected September 20, 2026Last detected September 20, 2026

ENDPOINT 1

https://nerdearla.com/en

No auth detected

MCP server metadata

Name
WebMCP
Capabilities
imperative

Known tools 2

search_sessions

Search Nerdearla conference sessions by keyword. Returns matching talks and workshops with speaker names, times, and tracks.

Inferred read-only
get_event_info

Get information about Nerdearla events including dates, locations, and registration links.

Inferred read-only

CONNECT 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.webmcp]
url = "https://nerdearla.com/en"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "webmcp": {
      "type": "http",
      "url": "https://nerdearla.com/en"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: webmcp
Remote MCP URL: https://nerdearla.com/en

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": {
    "webmcp": {
      "url": "https://nerdearla.com/en"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "webmcp": {
      "type": "http",
      "url": "https://nerdearla.com/en"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "webmcp",
  "transport": "streamable-http",
  "url": "https://nerdearla.com/en"
}
MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Loading Trust v2 evidence…

Checking the associated registrable domain. The BuiltWith key remains server-side.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.