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An MCP server that exposes Backblaze B2 Cloud Storage as tools any MCP-compatible AI client can call. Manage B2 by talking to an assistant -- list buckets, upload, download, delete versions, and check usage against a budget.

Michigan Compiled Laws — state statutes by citation.

Enables searching the Hungarian Electronic Library (MEK) for books, authors, subjects, and full-text via MCP tools and REST API, with accent-insensitive fallback and controlled vocabulary browsing.

A simple MCP server by Michael Hanson that enables AI assistants to fetch and analyze YouTube video transcripts by providing a single get-transcript tool that accepts YouTube URLs or video IDs. The implementation extracts transcript data and formats it with timestamps in [XmYs] format, making it easy for LLMs to summarize videos, identify key points, or analyze arguments without needing to watch the content directly. Built with Bun and TypeScript, it can be easily installed via bunx or npx and integrates seamlessly into any MCP-compatible AI application for video content analysis workflows.

Exposes analytical tools for Revenue Growth Management (RGM) using NielsenIQ data, enabling price elasticity, promo effectiveness, dynamic pricing, and competitive price index calculations.

Multi-endpoint Web3 intelligence service for token risk scanning, pre-trade checks, and signal snapshots, using DexScreener data with x402 payment support.

A minimal MCP server that converts company names to stock symbols and fetches financial data from Yahoo Finance using two example tools.

Enables CRUD management of tasks, workspaces, and notes via a remote MCP server with Supabase authentication and synchronization across Linux, Android, and ChatGPT.

Exposes your LLMGraph workflow deployments as MCP tools, allowing AI assistants to invoke them via natural language.

FastAPI-based MCP server that exposes the Unsplash API through three core tools: search_photos for keyword-based image discovery with relevance and recency sorting, get_photos for retrieving curated collections with popularity-based ordering, and get_random_photos for generating random images optionally filtered by search terms. Built by gzpaitch using FastAPI-MCP integration with pandas for data processing and comprehensive error handling, the implementation provides detailed photo metadata including photographer information, engagement metrics, download links, and technical specifications across multiple image resolutions. Designed for AI assistants requiring access to high-quality stock photography for content creation, design mockups, or visual inspiration workflows where structured metadata and flexible search capabilities are essential.

Enables MCP agents to access public SEC Form 4 insider filing data via a local API wrapper, supporting tools for assessing insider activity, checking data freshness, and retrieving filing provenance without providing financial advice.

MCP server for the Open-Meteo Air Quality API — current conditions and hourly forecasts

Enables querying City of Irvine GIS open geospatial data (parcels, zoning, parks) via ArcGIS Feature Services, with tools to search datasets, query layers, and retrieve schema information.

Security-focused MCP adapter that combines read-only DataHub metadata with a reviewed OKF-derived policy IR to execute closed, typed SQL queries against synthetic PostgreSQL data.

A simple MCP server for generating images using Ali Cloud's DashScope API, with tools for task management and local image saving.

Aurekai MCP server for akai doctor, manifests, artifacts, feature queries, and runtime inspection.

Manage FoxReach cold email outreach — leads, campaigns, sequences, templates, email accounts, inbox, and analytics.

Topics gaining momentum before they peak. Trend volume and growth signals. Free key at trendsmcp.ai

MCP server providing weather data via the Open-Meteo API, including geocoding, current conditions, daily and hourly forecasts, and city lookup. No API key required, with support for multiple units and transport types.

Enables AI agents to query environmental sensor data from the openSenseMap citizen-science network, allowing access to air quality, weather, and other sensor measurements through natural language.