Productivity
wgo.fyi
Manages local calendar events, allowing creation, deletion, lookup, and import from natural language or iCalendar files.
ENDPOINT 1
https://api.wgo.fyi/mcp
MCP server metadata
- Name
- my-local-events
- Version
- 1.0.0
Known tools 6
create_eventCreate a local event from structured fields and return a shareable link.
Potential side effectscreate_event_from_textCreate a local event from a natural-language description (e.g.
Potential side effectsget_eventLook up a local event by its public share code (the part after wgo.fyi/e/ in a share link).
Inferred read-onlyimport_icsCreate a local event from the contents of an iCalendar (.ics) file and return a shareable link.
Potential side effectsCONNECT 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.my-local-events]
url = "https://api.wgo.fyi/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"my-local-events": {
"type": "http",
"url": "https://api.wgo.fyi/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: my-local-events
Remote MCP URL: https://api.wgo.fyi/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": {
"my-local-events": {
"url": "https://api.wgo.fyi/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"my-local-events": {
"type": "http",
"url": "https://api.wgo.fyi/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "my-local-events",
"transport": "streamable-http",
"url": "https://api.wgo.fyi/mcp"
}
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.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.