"Semantic Scholar" matching MCP servers:

Provides tools to search, retrieve, and explore over 200M academic papers, authors, citations, and full-text snippets via the Semantic Scholar API.

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 searching and retrieving academic papers, authors, citations, and references from Semantic Scholar via an HTTP MCP server with caching and rate limiting.

A local stdio MCP server that exposes compact semantic observations from UI elements annotated with data-agent-* hints, designed to work alongside the official Playwright MCP for browser automation.

Enables natural-language semantic search of a project's code through a local vector index, so questions that plain grep cannot match return ranked file:line references. It also indexes or refreshes projects on demand, reports index status, and optionally flags near-identical code across files.

A standalone MCP server that searches multiple scholarly metadata providers (PubMed, Europe PMC, bioRxiv, Crossref, OpenAlex, Semantic Scholar, arXiv), deduplicates results, and returns ranked literature with optional open-access full-text retrieval from Europe PMC.

Drives a real Chromium browser to extract a page's DOM into compact Semantic JSON with Playwright-native locators, enabling AI agents to generate consistent, accurate Playwright tests.

MCP server for searching and retrieving philosophy papers, combining Semantic Scholar, OpenAlex, Unpaywall, CrossRef, and PhilArchive with PDF resolution, taxonomy browsing, and a personal library.

MCP server for Cloudflare D1 database introspection, providing schema analysis, relationship extraction, validation, and optimization suggestions via Semantic Intent patterns.

Enables AI assistants to search and analyze Google Scholar publications, authors, citations, and download papers.

Enables AI-assisted analysis and optimization of Cloudflare D1 databases through comprehensive schema introspection, relationship mapping, validation, and optimization recommendations. Demonstrates semantic intent patterns with hexagonal architecture for maintainable database development workflows.

MCP server that provides Semantic Scholar academic search capabilities, including paper search, detail query, citation analysis, author search, and intelligent recommendations.

Enables automatic literature discovery, screening, and ranking across OpenAlex, Semantic Scholar, and arXiv, with tools for exporting to Zotero and generating research ideas.

Enables AI assistants to save, load, and search conversation context with AI-powered summarization and auto-tagging. Demonstrates semantic intent patterns and hexagonal architecture for maintainable AI-assisted development.

A MCP server for academic literature retrieval, aggregating multiple data sources like arXiv, Crossref, OpenAlex, PubMed, and Semantic Scholar to provide search, details, citations, trends, and recommendations.

Enables AI agents to query the Semantic Scholar Academic Graph for scholarly paper data, supporting tools for search, retrieval, and analysis.

Provides worktree-aware semantic code indexing and search via MCP, enabling agents to query indexed code and monitor indexing status while keeping lifecycle operations separate.

Connects AI assistants to an Obsidian vault as a semantic knowledge graph, enabling graph navigation, semantic search, and content operations through MCP.

Provides AI coding agents with structured access to indexed codebases via semantic search, symbol analysis, and file reading tools.

Enables AI agents to access and act on web, desktop, and mobile interfaces via semantic accessibility trees, using MCP tools for querying, navigating, and executing deterministic UI actions without relying on screenshots or pixel coordinates.