"Semantic Search API Solutions" matching MCP servers:

MCP server for querying the Semantic Scholar Academic Graph API, enabling paper search, author lookup, citation tracking, and paper recommendations.

Provides eight deterministic, source-grounded tools for exploring the Beautiful Solutions toolbox, enabling organizers and educators to search, compare, map, and build discussion guides around liberation-focused values, principles, solutions, and stories without runtime LLM or network calls.

An MCP server that provides access to Semantic Scholar's academic paper database, enabling paper search, detailed retrieval, author info, and citation export.

Semantic Scholar API, providing comprehensive access to academic paper data, author information, and citation networks.

Enables comprehensive academic research through the Semantic Scholar API, including paper search, author discovery, citation network analysis, and full-text access from arXiv and Wiley sources.

Enables keyword literature search merged and deduplicated across Crossref, OpenAlex and Semantic Scholar, plus citation formatting in GB/T 7714 or APA, batch BibTeX generation for DOIs, and related-work discovery — all without an API key.

A lightweight MCP server for querying arXiv with semantic and keyword search, supporting natural language queries and structured filters.

Access millions of academic papers from Semantic Scholar using the Model Context Protocol, with tools for paper search, author analysis, and research organization.

Enables users to search academic papers and retrieve metadata, abstracts, and available full-text content from Semantic Scholar and Crossref. It provides structured results for integration with Claude Desktop and other MCP-compatible clients.

Enables users to search and retrieve academic papers, author profiles, citations, references, recommendations, and related metadata through the Semantic Scholar API, with batch operations and customizable fields.

Enables access to academic paper data, author profiles, and citation networks through the Semantic Scholar API, supporting paper search, batch retrieval, citation/reference tracking, author lookup, and recommendations.

A comprehensive Model Context Protocol server that provides AI assistants with direct access to Semantic Scholar's academic database, enabling advanced paper discovery, citation analysis, author research, and AI-powered recommendations.

Enables users to search and retrieve academic paper metadata, author profiles, citation networks, references, recommendations, and related research information through the Semantic Scholar API. Supports batch operations, customizable fields, and multiple ranking strategies.

Enables LLMs such as Claude to search for academic papers and fetch detailed metadata, abstracts, and available full-text content from Semantic Scholar and Crossref. It exposes tools for keyword search, topic search with date filtering, and lookup of individual papers by DOI or Semantic Scholar ID.

Enables comprehensive access to academic paper data, author information, and citation networks through the Semantic Scholar API, including search, batch retrieval, citation analysis, and recommendations.

Enables MCP clients to search and retrieve academic papers, explore citation networks, inspect author profiles and publications, and generate paper recommendations through the Semantic Scholar API, including batch operations and customizable fields.

Enables LLMs and compatible clients to search for academic papers, fetch detailed metadata and abstracts by DOI or Semantic Scholar ID, and search by topic with optional year filters using Semantic Scholar and Crossref. It returns structured results, including full-text links when available, for integration with Claude Desktop and other tool-calling AI clients.

Enables Claude and other MCP-compatible clients to search academic papers, fetch detailed metadata and abstracts, and retrieve full-text content when available from Semantic Scholar and Crossref.

Enables users to search academic papers, retrieve paper and author details, explore citation and reference networks, and get paper recommendations via the Semantic Scholar API. It also supports batch operations, field customization, and authenticated or unauthenticated access.

Enables searching and retrieving academic papers, author profiles, citations, references, and recommendations through the Semantic Scholar Academic Graph API, without writing API code. Supports relevance, bulk, and title search, batch lookups of up to 1000 papers or authors, snippet search, and customizable field selection with built-in rate limiting.

Enables users to search academic papers, retrieve author profiles, explore citation and reference networks, and get paper recommendations via the Semantic Scholar API.

Enables Claude and other MCP-compatible clients to search for academic papers and fetch detailed metadata, abstracts, and available full text from Semantic Scholar and Crossref.

Enables searching and retrieving academic paper metadata, author profiles, citation and reference networks, and paper recommendations through the Semantic Scholar API. Supports batch operations, customizable fields, snippet search, and both authenticated and unauthenticated access.

Enables searching academic papers, exploring citation and reference networks, retrieving author profiles and publication histories, and generating paper recommendations through the Semantic Scholar API. Supports batch retrieval, customizable field selection, snippet search, and both authenticated and unauthenticated access.

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 users to search and retrieve academic papers, inspect authors and their publications, explore citation networks and references, and obtain paper recommendations through the Semantic Scholar API.

Enables Claude and other MCP-compatible clients to search academic papers across Semantic Scholar and Crossref, fetch detailed metadata and abstracts, filter topic searches by date, and retrieve full-text content when available.

Enables users to search and retrieve academic paper data, author profiles, citation networks, and paper recommendations via the Semantic Scholar API.

Enables users to search academic papers, retrieve paper and author details, explore citation and reference networks, and get paper recommendations through the Semantic Scholar API. It also supports batch lookups, field customization, and optional API-key authentication.

Enables LLMs to search academic papers across multiple sources and retrieve paper metadata, abstracts, and full-text content when available from Semantic Scholar and Crossref.

Enables users to search papers, retrieve author profiles, explore citation networks, get recommendations, and perform batch lookups through the Semantic Scholar API.

Enables searching academic papers, retrieving paper and author details, exploring citation networks, and receiving recommendations via the Semantic Scholar API.

Enables searching and retrieving academic papers, author profiles, citation networks, references, and paper recommendations through the Semantic Scholar API. Supports batch lookups, snippet search, and customizable field selection with built-in rate limiting and optional API key authentication.

Enables searching and retrieving academic paper data, author profiles, and citation networks through the Semantic Scholar API, including paper and author search, batch lookups, citation and reference tracking, snippet search, and paper recommendations.

Enables LLMs to search for academic papers, retrieve paper metadata and abstracts, and access full-text content when available from Semantic Scholar and Crossref.

Enables LLM clients to search for academic papers and retrieve detailed metadata, abstracts, and full-text content when available from Semantic Scholar and Crossref. It supports querying by keyword or topic with date-range filters and looking up specific papers by DOI or Semantic Scholar ID.

Enables searching and retrieving academic paper data, author profiles, citation and reference networks, and paper recommendations through the Semantic Scholar API, with batch operations, snippet search, and customizable field selection.

Enables AI assistants to search academic papers and retrieve metadata, abstracts, and available full-text content from Semantic Scholar and Crossref through MCP tools.

Enables users to search and retrieve academic paper data, author profiles, citation and reference networks, and paper recommendations through the Semantic Scholar API, including batch lookups and snippet search.

Enables searching and retrieving academic papers, author profiles, citation and reference networks, recommendations, and snippets via the Semantic Scholar API, with batch operations and configurable field selection.