"Resources for Writing Academic Papers" matching MCP servers:

Enables AI tools to search and retrieve data from various South Korean and Japanese academic databases, including research journals, historical records, and legislative information.

Unified academic paper search MCP server integrating OpenAlex, Semantic Scholar, CrossRef, and arXiv APIs, enabling Claude to search and analyze over 500 million scholarly papers.

Provides tools for AI models to search and retrieve information from five major Polish academic and government databases, including scientific articles and research datasets. It enables users to query platforms like Biblioteka Nauki and Repozytorium UJ through a standardized interface hosted on Cloudflare Workers.

Enables AI agents to search academic papers, analyze citations and authors, track trending research, and find semantically related work using free scholarly sources.

MCP server for academic research using the OpenAlex API, enabling article search, details retrieval, and author profile lookup.

Enables AI models to search and retrieve bibliographic and digitized records from Swiss academic libraries (swisscovery, e-rara, e-periodica, e-manuscripta) via open protocols without requiring API keys.

MCP server enabling AI agents to search and retrieve scientific papers, citations, and author profiles from Crossref, OpenAlex, and Semantic Scholar with no API keys required.

MCP server that silently monitors state changes in structured data sources (e.g., government open data) and provides a pull-based channel for AI agents to retrieve real mutations since their last cursor.

Provides real-time access to over 200 million scientific papers and full-text extraction from major academic sources including arXiv, OpenAlex, and PubMed Central. It enables users to search, fetch metadata, and analyze citations across multiple research disciplines through a unified Model Context Protocol interface.

Enables querying academic data from Universitat Jaume I, including subjects, degrees, locations, and schedules, via MCP-compatible clients.

A Model Context Protocol server that provides semantic search and intelligent access to a comprehensive list of free services and tools for developers.

Enables querying and comparing operational numerical weather models, including global and regional, deterministic and ensemble, physics-based and AI forecasts, with a unified API.

Exposes Denmark's Statistical Bureau API as programmable resources, making it easy to integrate with language models and modern AI applications to enable natural language queries for statistical data.

A Python FastMCP server that re-exposes Kindora's public funder and grant tools for ChatGPT, enabling grant discovery from IRS 990 filings and Grants.gov.

Provides access to the USGS Quakes API within Claude Desktop, enabling users to retrieve earthquake data and details through natural language queries.

MCP server for structured Australian macroeconomic and financial data from the Australian Bureau of Statistics (ABS), the Reserve Bank of Australia (RBA), and the Australian Prudential Regulation Authority (APRA).

Enables natural language access to Denmark's Statistics API (Danmarks Statistik), allowing users to query and analyze Danish statistical data without coding knowledge through AI-powered interactions.

Enables querying current weather conditions and 1–7 day forecasts by place name through natural language, using Open-Meteo without requiring an API key.

Provides a tool to fetch npm package information via MCP. Enables AI agents to retrieve structured package details using the getNpmPackageInfo tool.

Enables ChatGPT to retrieve live Pokémon data from PokéAPI, build tournament squads, and list popular tournament picks through MCP tools.