"A server for finding academic or research papers" matching MCP servers:

Enables deterministic, harness-neutral research workflows by unifying research object identity, evidence receipts, claim-evidence graphs, and append-only decision logs, along with specialized scholarly skills for literature analysis, reproducibility audits, and multi-agent review.

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

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.

A read-only FastMCP server for academic research that lets agents search papers, inspect metadata, follow citation graphs, generate BibTeX, and read full texts of open-access PDFs via semantic scholar, OpenAlex, arXiv, DBLP, and Crossref.

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.

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.

Searches open-access research papers by keyword and retrieves detailed metadata by CORE ID, including titles, authors, abstracts, DOIs, and download links.

Enables querying a single academic paper by DOI, PMID, or arXiv ID to retrieve its open-access copies, licenses, linked datasets, code, citations, and retraction status from multiple scholarly sources in one call.

Enables open-access academic paper search and lookup via arXiv and OpenAlex, plus journal-quality color palettes for scientific figure styling.

Enables AI agents to discover official public data sources, inspect their metadata and endpoint parameters, and execute live queries through a unified response envelope with a 500 ms budget.

Enables searching and retrieving academic paper information from Semantic Scholar and Crossref, including metadata, abstracts, full-text when available, and topic/date-range searches.

Enables Claude and other MCP-compatible clients to search and retrieve academic paper information from Semantic Scholar and Crossref, including metadata, abstracts, and full text when available. It exposes tools for paper search, topic/date-range search, and fetching details by DOI or Semantic Scholar ID.

Enables Claude and other MCP-compatible clients to search for academic papers and retrieve detailed metadata, abstracts, and full-text content from Semantic Scholar and Crossref. Supports keyword and topic searches with optional year-range filtering across multiple scholarly data sources.

Enables producing verifiable FORRT nanopublication chains with grounded quote verification and compact Science Live constellation projections, supporting reproduction, replication, and new research workflows.

Enables Claude to retrieve read-only public market data, including SEC EDGAR filings, FRED macro series, and end-of-day prices, with source and retrieval dates.

Enables AI assistants to search and read an open quant research record: papers, topics, killed candidates, trial counts, live paper-trading sleeves, and a tamper-evident chain head. It provides six read-only tools over public CDN files, returning each source's stated limits alongside paper-execution-only caveats.

Enables in-chat scientific viewers for molecular structures, sequence alignments, and slide images, plus data tools for searching structures, fetching sequences, aligning them, and drafting NGS analysis plans.

MCP server for legal research that enables searching US case law via CourtListener, retrieving full opinion text, and looking up legal definitions from Cornell's Wex. Students can connect via a remote connector in Claude.ai to cite real, free legal sources.

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.

Enables searching and retrieving academic papers from arXiv by topic, allowing users to discover research papers and extract their metadata including titles, authors, abstracts, and PDF links through natural language queries.

Enables dental research and clinical intelligence by providing tools to search PubMed, systematic reviews, verify citations, and query ClinicalTrials.gov directly from Claude Web and Claude Desktop.

Enables read-only search and metadata retrieval from the official arXiv API, including tools to find papers by keyword, author, category, or ID.

Enables AI agents to research U.S. companies and associated people using official state registries and free regulatory datasets, with normalized evidence and optional browser automation.