"Semantic layer for SQL query execution with dimensions and measures" matching MCP servers:

Embedding space analysis toolkit that measures semantic drift, traces trajectory dynamics, and projects passages onto caller-defined semantic axes, exposed as MCP tools for agentic integration.

Enables AI assistants to search arXiv papers, retrieve metadata, browse categories, and read paper text.

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

Provides direct access to 200M+ academic papers from Semantic Scholar, enabling paper search with advanced filters, author discovery, citation analysis, and AI-powered paper recommendations through natural language.

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

Enables collecting real Yandex Wordstat v2 data and running managed semantic-core research workflows, including query frequencies, regional demand, dynamics, and AI-assisted cleaning, intent labeling, clustering, and reporting.

Enables searching and retrieving academic paper metadata from Semantic Scholar, including paper details, citations, and author information.

An MCP server that provides governed metric definitions and provenance-labeled memory for materials test labs, enforcing quality system discipline on agent interactions.

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

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

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

Enables semantic querying of pediatric motor assessment data and controlled clinical data loading through MCP, preserving methodological context and protocol versions.

Provides read-only access to SQL Server databases via Data API Builder, with tools to describe entities, read records, and aggregate data through the Model Context Protocol.

A bridge that connects Dune Analytics blockchain data to AI applications through Model Control Protocol, allowing LLMs to access on-chain data via natural language interactions.

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

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 decomposition of complex, multi-faceted research prompts into executable query plans and synthesis DAGs, with support for scientific evidence analysis and consensus calculation.

Enables AI agents to invoke a local Stata installation, including a Windows Stata build under Wine on Linux and macOS, for regression analysis, econometrics, paper replication, and empirical research with command guards, resource monitoring, and automatic log capture.

Enables searching academic papers on Semantic Scholar and downloading their PDFs, with support for multiple publishers.

Expert-curated knowledge graphs, corporate earnings intelligence, and voice-studied Human Agents for AI agents. 55 tools across 220+ domain graphs with structured insights, relationship traversal, and live institutional data streams.