MCP TypeScript Demo Server
Related Servers
Alternatives to MCP TypeScript Demo Server
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityDmaintenanceA Python implementation of the Model Context Protocol (MCP) server that enables searching and extracting information from arXiv papers, designed to be extensible with additional MCP tools.-
- FlicenseAqualityDmaintenanceA Model Context Protocol server that provides tools for searching arXiv papers and managing research paper information with local storage capabilities.21-
- AlicenseAqualityFmaintenanceA Model Context Protocol server that enables natural language interaction with arXiv.org, allowing users to search, retrieve metadata, download PDFs, and load scholarly articles into LLM context.539MIT
- AlicenseNot gradedqualityDmaintenanceA Model Context Protocol server that enables AI agents to search, retrieve, and analyze academic papers from arXiv, supporting features like keyword search, paper details retrieval, content extraction, and paper analysis.5MIT
- AlicenseNot gradedqualityDmaintenanceA Model Context Protocol (MCP) server that provides AI assistants with a seamless, programmatic interface to search and read academic papers from the open-access arXiv repository.2MIT
- AlicenseAqualityDmaintenanceA TypeScript-based Model Context Protocol server that fetches, searches, and formats news articles from NewsAPI.org into reader-friendly Markdown digests using LLMs (Gemini and Claude).12735 npmMIT
TDQS
Scored across 2 tools
The two tools have completely distinct purposes: one handles date calculations and the other provides weather information. There is no overlap in functionality, making it impossible to confuse them.
Both tools follow a consistent 'get_current_*' naming pattern, which clearly indicates their purpose. The minor deviation is that one description is in Chinese and the other in English, but the naming structure itself is uniform.
With only two tools, this server feels thin and under-scoped for a general-purpose demo. It lacks the depth or breadth expected for a meaningful toolset, making it appear incomplete or trivial.
The server covers two unrelated domains (date and weather) but lacks any cohesive scope. There are significant gaps in both domains—no date manipulation beyond basic relative units and no weather-related operations like forecasts or historical data—making it feel like a random collection rather than a complete surface.