"Information about Node.js" matching MCP servers:

An MCP server for Meertrack that enables users to ask their AI agent about competitors' recent activities, digests, and product changes via natural language.

MCP server to ask research questions about real-world datasets and get actual database records back, with auto-registration and trial credit.

Provides AI assistants with access to University of Alabama at Birmingham's Research Computing documentation, enabling users to search and retrieve information about the Cheaha HPC cluster, SLURM job scheduling, storage systems, and available software tools.

Enables AI assistants to interact with the Open Targets Platform API to search and retrieve comprehensive data about target-disease associations, drugs, genes, and drug discovery information through GraphQL queries.

Enables MCP-compatible clients to browse, search, and fetch EIU economic data for about 200 countries and 320 indicator series, including history and forecasts.

Node.js MCP server enabling AI agents to access comprehensive U.S. Census Bureau demographic and economic data, including ACS, decennial census, and business patterns.

Bridges Claude (or any MCP client) to manufacturing data via the i3X standard, enabling natural language queries about equipment status, hierarchy, and historical trends.

Enables LLMs to read and extract content from PDF files with high-fidelity LaTeX recognition and layout awareness using a Python-based extraction engine. It includes a robust Node.js fallback and supports page range filtering for efficient processing of large documents.

A Model Context Protocol (MCP) server for querying drug information from the OpenFDA API. Features Retrieve drug label information by brand name Retrieve drug information by generic (active ingredient) name Get all brand versions of a generic drug Get adverse event (side effect) reports for a drug

Enables access to the Semantic Scholar Academic Graph API for searching and retrieving detailed information about academic papers, authors, citations, and references.

Enables users to search and retrieve detailed pharmaceutical drug information from the Korea Pharmaceutical Information Center (KPIC) API. Supports drug name searches and detailed lookups by drug code including ingredients, usage, precautions, and storage information.

Provides programmatic access to CTFtime.org data for retrieving information about CTF competitions, team rankings, and event results. It enables users to search for upcoming events, analyze team performance, and access historical competition data through a standardized interface.

A Model Context Protocol server for combating disinformation about Venezuela, integrating real fake news patterns with optional web search.

Connects NearIQ competitive intelligence to AI tools like Claude Desktop, Claude Code, Cursor, and Windsurf, enabling queries about competitors, reviews, rank tracking, and more.

Turns CREHQ's live location-intelligence REST API into native tools for AI agents, enabling natural-language queries about franchise brands, store locations, credit signals, and site tenancy history.

A Node.js implementation that provides tools for advanced PubMed searching, including full abstract retrieval and PMC full-text search within open access articles. It features SQLite-backed search history and allows users to filter results by MeSH terms and specific publication dates.

A Model Context Protocol (MCP) server that provides access to the Protein Data Bank (PDB) - the worldwide repository of information about the 3D structures of proteins, nucleic acids, and complex assemblies.

A comprehensive Model Context Protocol (MCP) server for accessing Human Protein Atlas data, providing information about protein expression, subcellular localization, pathology, and more.

A minimal, token-efficient MCP server that combines stock prices and fundamentals with the macro and micro narrative around them — so an AI agent can reason about why a stock moved, what people are thinking about it, and what probable scenarios lie ahead.

Enables natural-language queries about AI startup metrics like ARR and funding, with sourced, confidence-scored answers and contradiction detection.