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Enables querying and managing Apache Druid datasources through natural language, including SQL queries, datasource exploration, and cluster connectivity testing.

Job Search MCP Server provides a bridge between AI assistants and LinkedIn job listings through web scraping. Built with Node.js and Puppeteer, it enables searching for job opportunities by title, location, and recency, handling pagination and extracting comprehensive job details including titles, companies, locations, posting dates, and URLs. The server implements both HTTP and stdio transport options for flexibility in deployment, making it particularly valuable for job seekers and recruiters who need to monitor LinkedIn job postings without manually navigating the platform.

A simple MCP server that provides web search functionality via DuckDuckGo, returning titles, URLs, and descriptions for results. Configurable result limit.

Integrates with Radarr and Sonarr to manage your media library, enabling search, download requests, status checks, and system health monitoring.

Provides access to Unusual Whales market data including options flow, dark pool activity, congressional trades, and more via natural language queries.

Enables reading images (diagrams, screenshots) directly via the model's own vision, with no external API key needed, and can extract embedded images from .doc/MHTML documents.

🚀 Create An AI Tool with MCP Server – A powerful AI-based utility integrated with a Model Context Protocol (MCP) Server for enhanced automation

This MCP server, developed by an unnamed author, provides access to the Sefaria Jewish Library for AI assistants. Built with Python and leveraging the MCP SDK, it offers tools for retrieving texts and commentaries from the Sefaria database. The server implements error handling and logging to ensure reliable operation. By abstracting the complexities of the Sefaria API, it allows AI systems to easily access and analyze Jewish texts and commentaries. This implementation is particularly valuable for applications requiring in-depth access to Jewish literature, enabling use cases such as religious study, textual analysis, and comparative research across different Jewish texts and interpretations.

小红书 / 抖音 / B站 / 公众号 / 微博链接读取：MCP 服务器 + API + 23 个 Agent Skill（视频总结 skill、小红书 skill、抖音文案 skill，OpenClaw / Claude Code / Cursor 可装）。托管，不需要你的平台账号或 Cookie：逐字稿、图片 OCR、热门评论。Hosted MCP server, REST API and agent skills that read Xiaohongshu (RedNote), Douyin, Bilibili, WeChat and Weibo links into text for AI agents. Python SDK + CLI.

A FastAPI MCP server that provides real-time weather data and forecasts for cities worldwide using natural language queries and OpenWeatherMap API.

Acts as a proxy between your app and Reactotron, enabling AI assistants to read logs, inspect state, monitor network requests, and trigger custom commands.

Enables AI agents to check URL safety before fetching content, using Google Web Risk, URLhaus, PhishTank, and AI analysis to return SAFE/SUSPICIOUS/DANGEROUS verdicts.

AI-powered dependency vulnerability and breaking change analyzer that scans dependencies, identifies vulnerabilities via OSV.dev, and uses AI to assess real impact and suggest fixes.

Enables text-only language models to 'see' and describe images by calling multimodal APIs (OpenAI, Anthropic) for image analysis.

Read and draft Gmail messages without sending, enforcing human review; supports multiple accounts via OAuth.

mcp apps support plugin for dsh (DeepSeek Harness)

Provides tools for querying Polymarket prediction market data through The Graph subgraphs. Includes market data, trader P&L analysis, position tracking, orderbook trades, open interest metrics, market resolution status, and trader profiles across 8 specialized subgraphs.

Integrates Dify's external knowledge base API with the Model Context Protocol to enable AI agents to retrieve and query relevant information. It supports relevance scoring, metadata filtering, and flexible configuration through environment variables or command-line arguments.

MCP server that enables background removal from images (product photos, portraits, cars, or general subjects) returning a transparent PNG.

Enables interaction with your Logseq personal knowledge management system via MCP, allowing retrieval of tagged notes and todo lists through Logseq's HTTP API.