ZeparHyfar/mcp-datetime
by Various
A MCP server for datetime formatting and file name generation.
MCP
ZeparHyfar/mcp-datetime
Added 1 June 2026
Overview
A Python-based Model Context Protocol server that formats datetime values and generates file names with timestamps. It exposes date/time formatting operations for use by AI agents and tools through the MCP interface.
Best for
Best for
Developers who need a lightweight MCP server for consistent datetime formatting in AI toolchains
Use cases
- Generate consistent timestamped filenames for logs or exports
- Format datetime strings in a standard pattern for reports
- Convert between datetime formats for data pipeline integration
How to use
Install
npx @modelcontextprotocol/inspector uvx mcp-datetime Tools exposed
get_datetimedate_slashdate_jpdatetime_jpdatetime_tcompact_datecompact_timefilename_mdfilename_txtfilename_logiso_basiclog_compacttime_jp
Tested with
Claude Desktop
Example client config
{\n "mcpServers": {\n "mcp-datetime": {\n "command": "uvx",\n "args": ["mcp-datetime"]\n }\n }\n} Notes
A Python-based Model Context Protocol server that formats datetime values and generates file names with timestamps. It exposes date/time formatting operations for use by AI agents and tools through the MCP interface.
27 stars on GitHub. Last updated 2024-12-13. Licensed MIT.
Use cases
- Generate consistent timestamped filenames for logs or exports
- Format datetime strings in a standard pattern for reports
- Convert between datetime formats for data pipeline integration
Pros
- Single-purpose server keeps integration simple and focused
- Written in Python, easy to extend or modify for custom formats
- Low overhead for basic datetime formatting needs
Cons
- Limited to datetime formatting and filename generation only
- Small community with only 27 stars suggests limited support and documentation
- Requires an MCP-compatible client or host to be useful
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Single-purpose server keeps integration simple and focused
- Written in Python, easy to extend or modify for custom formats
- Low overhead for basic datetime formatting needs
Cons
- Limited to datetime formatting and filename generation only
- Small community with only 27 stars suggests limited support and documentation
- Requires an MCP-compatible client or host to be useful
Pairs with
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