what is research-mcp-server fr?

Research MCP Server gives an AI agent, such as Claude, Cursor, or ChatGPT, access to 23 different research tools through a single connection point called an MCP server. Instead of the AI making things up when it needs facts, it can call out to these tools to search the web, read academic papers, check social media, or pull financial filings, and get real data back. The tools are grouped by category. Web and content tools let it search the internet, pull clean text from any page, read Google News, get Wikipedia summaries, find archived versions of dead links, and score how reliable a source is. Social and discussion tools reach into Reddit, Hacker News, YouTube (including video transcripts), Substack newsletters, Bluesky, Telegram, Mastodon, and VKontakte, and can also detect what is trending across several of these at once. Academic tools search preprint servers like arXiv, bioRxiv, and medRxiv, search data repositories like Zenodo and Figshare, find papers that support or contradict a claim, verify citations against Crossref and OpenAlex, check a whole bibliography, and generate citations in formats like BibTeX or APA. A smaller set of specialized tools covers places, through OpenStreetMap, and company filings, through the SEC's EDGAR database. Each successful call costs a small fee, between one and three cents depending on the tool, and failed calls are free. You get a token, hook it up to your MCP client, and set which category of tools you want loaded so you are not wasting context on categories you will not use, with presets for web, social, academic, or specialized data. Setup is described as taking about two minutes: get the endpoint URL and a token, then configure your client, whether that is Claude Desktop, Cursor, ChatGPT, LangChain, or any other tool that speaks the MCP protocol. The README gives worked examples for research assistant workflows that chain several tools together, such as searching, extracting the article text, scoring its reliability, and formatting a citation, as well as separate chains for market intelligence, academic work, financial research, social listening, and location lookups.