LabscoMCP early access ↗
Jina AIMCP SERVER · OFFICIAL PROJECT

Jina AI Research Toolkit

22 tools for research: read and search the web, arXiv and SSRN, run them in parallel, then rerank, dedupe and classify what comes back.

by Jina AI ↗Web Search Engines✓ Official

LABSCO SUMMARY

deduplicate_strings and sort_by_relevance are the tools that make a hundred search results survivable.

Every research agent hits the same wall: parallel search returns a mass of near-identical passages, and reading them all is unaffordable. Having reranking and semantic deduplication as callable tools — rather than something the model attempts by reading — turns that mass into a shortlist before it enters the context. guess_datetime_url is the other quiet favourite: knowing when a page was actually published is the check most agents skip.

What it is

Jina's official endpoint, which lists 22 tools at version 1.7.0. It is a complete research pipeline — retrieval, parallel retrieval, and then the embedding operations that make a large result set usable.

What you get

  • read_url and search_web — page content as clean markdown, and web search with locale and time filters
  • search_web_deep — search, read each result, and return the passage that best answers the question
  • parallel_search_web, parallel_search_arxiv, parallel_search_ssrn, parallel_read_url — several queries or pages at once
  • search_arxiv, search_ssrn, search_bibtex, search_images, search_jina_blog — academic and image search, with BibTeX citations from DBLP
  • sort_by_relevance, deduplicate_strings, deduplicate_images, classify_text — rerank, take the top-k semantically unique items, and label texts
  • extract_pdf — figures, tables and equations from a PDF via layout detection
  • capture_screenshot_url, guess_datetime_url, expand_query, primer, show_api_key

Requirements

A Jina API key is optional. The parallel and embedding tools are what most benefit from a paid quota.

Setup effort

Paste a URL — add the endpoint to your client