"A guide on how to edit videos" matching MCP servers:

Enables local MCP-capable agents to read-only query Zhangchui's already-published Warhammer 40K reports, matchups, army rosters, and statistical definitions over a fixed-route HTTPS public API, without admin accounts, SSH, or database credentials. It exposes six tools for listing and fetching reports, matchups, rosters, and data notes, with release-ID pinning, pagination, and explicit handling of unprepared or unavailable data.

Enables AI clients to access Chinese and global trademark data, including search, announcements, classification, review documents, transfer records, and applicant risk clues through the Quandashi platform.

MCP server that fetches ServiceNow Community events for a date range and returns them as structured data, optionally writing a CSV. No login or credentials required.

Enables users to look up any company's Google advertising by domain or verified advertiser name, returning one row per ad with its format, first and last shown dates, creative link, and Transparency Center permalink. Also returns a per-company summary stating whether the advertiser runs Google ads, roughly how many, and in which formats, with unfiltered by region, format, recency, or ad count.

Enables resolving the likely employer behind Gmail, Outlook, iCloud, Yahoo, and other free-mail signups by checking public Gravatar profiles, signed GitHub commits, and LinkedIn results. It returns the person’s name, employer, employer domain, confidence score, and evidence URLs.

Enables AI agents to search and analyze Ukraine's national open-data portal (data.gov.ua) using natural language, with tools for finding datasets, inspecting metadata, and retrieving actual data.

Enables AI clients to search, read, and accurately quote public-domain books from Project Gutenberg, with chapter detection and stable line numbers for citation. Its quote_check tool verifies whether a quotation actually appears in a book and reports how faithful the copy is.

Enables AI assistants to convert recipe amounts between volume and weight for specific ingredients using measured densities, scale recipes, and convert oven temperatures, with source citations and alternative published values.

Provides a clean interface for AI agents to search arXiv papers, fetch metadata, read full text, and download PDFs/source, with rate-limiting, on-disk caching, and session pinning to avoid duplicate fetches.

Enables AI assistants to answer Brazilian voters' pre-election questions from TSE open data, including comparing candidates, finding polling places, checking election dates and voting hours, and retrieving candidate details through MCP tools without personal registration data.

Zero-dependency MCP server for querying Chinese public holidays and makeup workdays (2025-2026), offering tools to check specific dates or list yearly schedules offline.

Provides read-only access to pre-kick-off football match outcome probabilities and the open record of how those predictions turned out, including match listings, per-match analysis, and aggregate hit rates with baselines. It requires no account or API key and lets users query results by date, week, language, and time zone.

Returns USDA-derived edible yield, refuse percent and trim waste for 305 raw fruits and vegetables, letting an assistant convert between as-purchased and edible weights. It also answers how many whole items or how much produce to buy for a recipe amount given in grams, pounds, cups or household measures.

Enables an AI client to search Australian federal and South Australian government open data catalogues, inspect a dataset file's schema and sample rows, then run read-only SQL over the full file in a sandboxed DuckDB. Every answer carries the source URL, publisher and licence, with extra tools for ABN checksum validation and Australian financial-year dates.

Provides current weather alerts for specified locations to AI assistants through the Model Context Protocol.

Enables AI assistants to convert raw and cooked weights for meat and poultry by cut and cooking method from USDA data, calculate how much raw meat to buy for cooked servings, and look up cooking yields and sample ranges.

Real-time web intelligence with freshness timestamps. Every extraction returns a dated envelope so AI agents know exactly how old the data is. Covers GitHub, HN, Scholar, arXiv, YC, jobs, finance, and package trends.

Enables AI agents to access Brazilian statistical, geographic, and economic data in real-time via IBGE public APIs.

Enables AI agents to autonomously discover, stream, and compute satellite analytics from free government Earth observation archives. Provides tools for STAC search, spectral indices, elevation profiles, SAR water detection, and sandboxed geospatial scripting.

Enables AI agents to query a local DuckDB knowledge base of roughly 4.8 million Hacker News stories since 2006, with live comment threads and recent stories, supporting title search, trend analysis, domain reports, on-this-day queries, and sandboxed SQL.

This project implements a Model Context Protocol (MCP) server providing Formula One racing data using the Python FastF1 library. Inspired by an existing TypeScript server, it offers similar F1 data functionalities natively in Python via FastF1.

An MCP server for querying Taiwan company registry open data, enabling search by name, number, directors, business items, and branch offices.

Enables discovery and selection of ONS datasets using a frozen metadata bundle, providing bounded access to dataset descriptions, dimensions, and alternatives without making network calls or returning observation values.

A Python MCP server for discovering and analyzing Sentinel-2 L2A imagery, enabling AI agents to search scenes, check quality, and compute spectral indices like NDVI, NDWI, and NBR from remote COG windows.

Enables access to Australian real estate data through the Realty In Au API, supporting property listings, agent/agency information, property details, school lookups, and property search with various filters.

Enables AI assistants to search, validate, and edit OpenStreetMap data through natural language commands and built-in safety protections. It supports discovery of nearby amenities, geographic data exploration, and secure map editing via OAuth authentication.

Enables AI assistants to search and retrieve peer-reviewed academic articles exclusively from Springer Nature's open access collection. It provides a specialized mode for research-driven conversations, allowing users to toggle scholarly-only search and fetch full article content.

Enables agents to look up countries, regions, cities and districts and to retrieve the recommended areas to stay in each, including who each area suits, why, and links to the corresponding guide pages on doalu.com. It works from public static guide data with no API key or account.

Enables searching government awards through the Sell to State API by proxying JSON-RPC to the live HTTP MCP endpoint, requiring an API key.

Reconciles Wikidata items against OpenStreetMap features, yielding verdicts (matched, ambiguous, unmatched, error) based on existing wikidata tags, cross-lingual name agreement, and distance, with support for SPARQL selectors to define item sets.