"An overview or resources about Node.js" matching MCP servers:

Enables fetching Google's AI Overview answers and cited sources as structured JSON, with support for batch queries and country/language targeting.

Enables AI agents to operate DSpace repositories through a typed interface, including SAF package building, metadata editing, scientometric harvesting, open-access PDF downloads, and repository administration.

Enables offline local LLM analysis of text data via MCP, taking raw text and an instruction to return analysis results without cloud calls.

MCP server providing data analytics tools for AI agents to load, clean, analyze data, generate charts and dashboards.

Extracts people (names and titles) from a company's team, leadership, or about page given a domain. Uses Apify to crawl and return structured data, with optional filters for seniority and email inclusion.

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

An MCP server providing progressive discovery tools for SDMX statistical data, enabling AI agents to explore and access SDMX-compliant repositories through interactive tools, resources, and prompts.

MCP server that answers questions about creator marketing, influencer pricing, and app growth using a curated corpus of operator quotes with links, and explicitly flags when evidence is thin or absent.

Checks whether a citation has been retracted, corrected, or flagged with an expression of concern by querying Crossref — including retractions that Crossref backfills from the Retraction Watch database, which publishers often never record in their own metadata. Lets an AI agent verify a DOI, or every DOI in a reference list, before using it in research or writing.

Enables LLM agents to query and analyze hh.ru job vacancies via full-text and semantic search, with tools for vacancy lookup, skill statistics, market overview, and candidate profile comparison.

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

LinkedIn prospect intelligence inside Claude. It automates the research behind outreach, not the sending: scrapes posts, profiles and comment threads into a local SQLite database, classifies what a person or company actually posts about, mines comment threads for people already describing your problem, and surfaces uncommon commonalities worth opening with.

Lets an AI agent ask real humans a question when the web genuinely has no answer, and get verbatim replies back with a respondent count. Built for the moment an agent is about to say "you should validate this with real users". Remote MCP, plain POST, or a single GET. No signup, no API key.

Stdio proxy for HirePulse: 27 live tools for company research, hiring, job changes, public contacts and commerce evidence. Focused remote profiles: 9 B2B or 11 commerce tools. Free sandbox, 10 successful calls per agent per UTC day (shared network ceiling), and eligible 25-call trials. Paid results use x402 USDC on Base. Install: npx -y hirepulse-mcp (Node.js 20+).

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

An MCP server that mirrors the skills and workflows of an industry-leading research institute, providing research craft tools, retrieval, and knowledge resources for any MCP-capable client.

Local MCP adapter for public Stock Trends API resources, enabling credential-free access to public resources and a workflow cost estimation tool. It does not generate investment advice; it only translates published API responses for MCP clients.

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.

Provides 17 research tools for comprehensive company intelligence, covering aspects like overview, products, financials, and competitors. Supports both natural language answers and structured JSON output for automation.

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