# OnceHub

> Use this tool when you need to integrate AI models with scheduling capabilities, allowing for seamless interaction with the OnceHub API to automate meeting and appointment scheduling. It solves problems related to manual scheduling and synchronization, providing a standardized interface for AI agents to access and manage scheduling data. This tool is ideal for use cases where automated scheduling and calendar management are required, accepting API requests as input and returning scheduling data as output.

Canonical page: https://skillsregistry.net/skills/scheduleonce-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/scheduleonce-mcp-server

## Description

The OnceHub MCP Server provides a standardized way for AI models and agents to interact directly with the OnceHub scheduling API

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-12

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/i5opq88pjl)
- **Repository:** <https://github.com/scheduleonce/mcp-server>

## 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": "scheduleonce-mcp-server"
    }
  }
}
```

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