time vs any-chat-completions-mcp
Side-by-side comparison to help you pick between these two MCP servers.
time by modelcontextprotocol | any-chat-completions-mcp by pyroprompts | |
|---|---|---|
| Stars | ★ 85,748 | ★ 151 |
| 30d uses | — | — |
| Score | 77 | 42 |
| Official | ✓ | — |
| Categories | ProductivityDeveloper ToolsCommunication | AI / LLM ToolsDeveloper ToolsProductivity |
| Language | TypeScript | JavaScript |
| Last commit | this month | 13 mo ago |
time · Summary
A comprehensive MCP server providing time and timezone conversion tools with automatic system timezone detection.
any-chat-completions-mcp · Summary
MCP server that integrates any OpenAI-compatible API with Claude as a tool for multi-LLM interactions.
time · Use cases
- Assisting with international meeting scheduling across time zones
- Providing real-time time information for location-based queries
- Enabling time conversion for travel planning and itineraries
any-chat-completions-mcp · Use cases
- Integrate multiple LLM providers into Claude Desktop
- Switch between different AI models for specialized tasks
- Access proprietary LLMs through Claude's interface
time · Install
Installation Options
**Using uv (recommended):**
uvx mcp-server-time**Using PIP:**
pip install mcp-server-time
python -m mcp_server_time**Configure for Claude Desktop:**
{
"mcpServers": {
"time": {
"command": "uvx",
"args": ["mcp-server-time"]
}
}
}any-chat-completions-mcp · Install
Installation
To add this MCP server to Claude Desktop, add the following configuration to your Claude Desktop config file:
**On MacOS:** ~/Library/Application Support/Claude/claude_desktop_config.json
**On Windows:** %APPDATA%/Claude/claude_desktop_config.json
{
"mcpServers": {
"chat-provider-name": {
"command": "npx",
"args": [
"@pyroprompts/any-chat-completions-mcp"
],
"env": {
"AI_CHAT_KEY": "YOUR_API_KEY",
"AI_CHAT_NAME": "ProviderName",
"AI_CHAT_MODEL": "model-name",
"AI_CHAT_BASE_URL": "https://api.example.com/v1"
}
}
}
}You can add multiple providers by referencing the same MCP server multiple times with different environment variables.