"Semantic Scholar" matching MCP servers:

Enables searching and retrieving academic papers, authors, citations, and recommendations from Semantic Scholar via MCP.

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 agents to query governed metrics through MCP, including describing metrics, running deterministic SQL against a warehouse, explaining join path preferences, and searching semantically ambiguous terms.

Enables searching scholarly literature across CrossRef, ERIC, Semantic Scholar, and OpenAlex, and retrieving open-access PDFs via Unpaywall.

A FastMCP server for the scholarly citation landscape that enables LLMs to search, cross-reference, and retrieve prior art across papers, patents, books, and standards via multiple APIs.

Enables users to search, download, and read academic papers from multiple platforms including arXiv, PubMed, bioRxiv, Google Scholar, Semantic Scholar, and CrossRef through a unified interface.

Searches academic references from arXiv, DBLP, Semantic Scholar, and OpenAlex concurrently and generates BibTeX citations.

Enables agents to search the main academic literature APIs (arXiv, Crossref, Semantic Scholar) and the web via Tavily, and to extract full text from PDFs or web pages, returning each source's own native metadata fields.

A read-only PostgreSQL MCP server for AI coding agents that exposes database schema and sample data as tools, with LLM-powered semantic search enriched by a user-authored semantic layer.

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

Enables agents to interact with a governed semantic layer for querying and authoring metrics, providing tools for discovery, planning, validation, and execution of analytics queries.

Enables agentic workflows to execute allow-listed side effects with automatic reverse-order compensation on failure, durable SQLite journaling, and idempotent rollback via MCP tools.

Enables AI agents to perform semantic search over codebases by converting natural language queries into efficient search patterns like grep and ripgrep. It utilizes LLMs to verify relevance and find code snippets that traditional keyword-based searches might miss.

MCP server for the OrionBelt Semantic Layer. Enables LLMs to explore governed semantic models, compile YAML metric definitions into optimized SQL across 8 engines (BigQuery, ClickHouse, Databricks, Dremio, DuckDB, MySQL, PostgreSQL, Snowflake), and execute analytics queries via natural language. Works with Claude, Cursor, Windsurf, and Copilot.

An MCP server that enables AI assistants to verify BibTeX citations and URLs against academic databases like Semantic Scholar and DBLP. It allows users to ensure bibliography accuracy and link accessibility directly within their research workflows.

Enables LLM agents to search academic literature across multiple sources (IEEE, arXiv, ACM, Semantic Scholar, CORE, Scite, Consensus) and index/search local PDFs.

A semantic router that enables discovery, management, and execution of tools across multiple MCP servers using natural language.

MCP server for connecting to Microsoft Fabric and Power BI semantic models, enabling workspace browsing, dataset management, TMSL retrieval, DAX queries, model creation/editing, and includes a Best Practice Analyzer with 71 rules.

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.

Enables searching and retrieving academic papers from arXiv and DBLP databases with advanced filtering options. Supports downloading PDFs and provides detailed paper information including titles, authors, abstracts, and publication dates.