"NEC" matching MCP servers:

Provides AI agents with access to Hacker News data including top stories, story details, comment threads, and full-text search for content research and trend monitoring.

Design and simulate wire antennas using the NEC2 method-of-moments solver via MCP. Supports dipole, Yagi-Uda, vertical, loop, and inverted-V geometries with pattern, impedance, and VSWR analysis.

MCP server for South Korean election research, providing tools to search candidates, retrieve election results, and lookup campaign booklet texts using NEC open data and the krpoltext dataset.

Enables querying SEC Form N-PORT data to find which mutual funds and ETFs hold a given security, view a fund's reported portfolio positions, and check data coverage and scope.

TradesPro is an open source MCP server that gives AI assistants structured knowledge of the skilled trades: electrical (NEC 2023), plumbing (UPC 2024), and HVAC (IRC Mechanical).

Enables agents and people to run local SEC research queries against EDGAR or demo fixtures, returning verifiable financial data, filing text, charts, and evidence packets with explicit source and coverage.

SEC EDGAR filing MCP for equity research agents: search 10-K/10-Q/8-K with CompanyFacts metrics, preview a free sample, and purchase full structured JSON via x402 USDC on Polygon. Public endpoint on xpay.tools.

It enables AI assistants (Claude, Cursor, etc.) to access SEC EDGAR data through 6 structured tools — from discovering available filings to keyword-searching within their pages.

Enables users to find people who recently started matching roles at target companies within a specified lookback window, returning flat JSON rows with profile, title, start month, prior role, move type, and source.

MCP server providing SEC EDGAR signal intelligence — insider trading (Form 4), 13F holdings, filing velocity, activist risk flags, and multi-company comparisons. Already on the official MCP Registry, awesome-mcp-servers (PR #5664 pending), and Apify Store with three-tier pay-per-event pricing. MIT license, TypeScript, comprehensive README.

Enables agents to search and get recommendations from the Arabic AI ecosystem for models, datasets, tools, and benchmarks based on criteria such as dialect, license, and platform.

Provides typed, read-only tools over SEC EDGAR for company lookup, filing lists, annual XBRL financial facts, and 10-K/10-Q item sections. Every result carries a source URL so answers can be grounded in and cite the underlying filings.

An MCP server implementation that leverages Google's Gemini API to provide analytical problem-solving capabilities through sequential thinking steps without code generation.

A free MCP server for stock research combining Finviz screening and SEC EDGAR filings, offering 24 tools for fundamental analysis, insider trades, and financial data without paid subscriptions.

Enables AI clients to verify U.S. federal tax citations and quotations against official government sources, catching fabricated or misattributed authorities in AI-drafted tax writing.

Provides Claude with access to NYC public property data including property details, sales history, comparable sales, tax benefits, and rent stabilization analysis using natural language.

Enables scholarly metadata lookups from the Crossref REST API, including works, members, journals, funders, types, licenses, and prefixes, as tools for LLM clients.

Enables querying Naver Search and DataLab APIs for web, news, blog, cafe, image, knowledge iN, encyclopedia, and local results, along with shopping insight and search-trend analytics using natural-language category lookup.

Enables natural language conversion of production and queueing systems into Petri net models, with simulation and PNML export via MCP tools.

Enables natural language querying of oceanographic data from the NES-LTER API, including CTD profiles, cruise datasets, and station information.

Enables Claude to list/create research notebooks, add text or URL sources, ask source-grounded questions, and generate studio outputs such as podcasts, videos, slides, mind maps, quizzes, flashcards, reports, and data tables.

Finds new AI model, product and repository names on X, Hugging Face, GitHub and sitemaps, plus sites that just added a payment link, then sizes their keywords with search volume, Google Trends and page-one competition.

Presents a plausible, tool-rich workspace surface — file reading, credential listing, command execution, database queries, and configuration retrieval — that returns only synthetic results while logging every connection, tool call, and argument received. It enables researchers to measure what MCP clients and agents actually do when handed dangerous-sounding tools, including whether they follow injected instructions or complete a retrieve-then-use credential chain.

Enables exploration and analysis of NetCDF scientific data files through intuitive APIs. Supports file discovery, metadata inspection, data extraction with slicing, smart sampling for large datasets, and time series analysis.

Enables an AI coding agent to take a research paper from arXiv, record its claims, build and run an implementation, measure the results, and receive a verdict for each claim. Every action is kept in a hash-chained evidence log, so the generated code folder and reproduction report can be checked without trusting the agent.

Ask a research question; in seconds get ranked companies, vetted 10-K/10-Q passages and financials.

Enables querying a comprehensive data lake of Italian civic open data, returning cited facts about Italian municipalities across domains like environment, education, finance, and governance.

Enables satellite imagery analysis through Google Earth Engine, allowing users to search datasets, calculate vegetation indices like NDVI, filter collections by location and date, and export imagery to cloud storage. Supports major satellite datasets including Sentinel-2, Landsat, and MODIS for applications like agriculture monitoring and deforestation tracking.