A powerful MCP server built with NitroStack
Add via Cursor Settings UI (Settings > Features > MCP > Add New MCP Server):
{
"mcpServers": {
// your other mcp servers
"researchradar-mcp": {
"url": "https://researchradar-serv-prompt-protocol-amrita-university-coimbatore.app.nitrocloud.ai/mcp"
}
}
}
Connect remote tools directly via Claude's Web UI:
Configure custom tools directly via ChatGPT's Web UI:
Add the following configuration block under mcpServers in your Antigravity configuration file (~/.gemini/config/mcp_config.json):
{
"mcpServers": {
// your other mcp servers
"researchradar-mcp": {
"serverUrl": "https://researchradar-serv-prompt-protocol-amrita-university-coimbatore.app.nitrocloud.ai/mcp"
}
}
}
Add the following configuration block to your Codex configuration file (~/.codex/config.toml):
[mcp_servers.researchradar-mcp] url = "https://researchradar-serv-prompt-protocol-amrita-university-coimbatore.app.nitrocloud.ai/mcp"
Connect directly using the Server-Sent Events endpoint:
https://researchradar-serv-prompt-protocol-amrita-university-coimbatore.app.nitrocloud.ai/mcp
Search arXiv academic database by keyword. Returns real papers with titles, authors, abstracts, and direct PDF links. Covers Computer Science, AI/ML, Mathematics, Physics, Statistics, Economics, and Quantitative fields. Does NOT cover clinical medicine, law, humanities, or business management.
Fetch full abstract and metadata for a single arXiv paper. Accepts arXiv ID (e.g. "2201.00978") or full arXiv URL (e.g. "https://arxiv.org/abs/2201.00978"). Use paper IDs returned from search_papers.
Find papers in the same research category as a given arXiv paper. Uses arXiv category-based search to surface recent work in the same field. Note: this is category-based, not content-based, since arXiv does not provide a recommendations API.
Bookmark an arXiv paper to personal reading list with optional note. Saved papers appear in the researchradar://reading-list resource.
Research Commercialization Agent: Maps an arXiv paper abstract to target industries, market potential, startup ideas, IP licensing paths, and investor archetypes. Bridges the gap between academic research and real-world impact.