"Information about Git Actions and Workflows" matching MCP servers:

An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.

Self-hosted MCP toolkit providing web search, Wikipedia, and arXiv access without mandatory API keys, delivered as a Docker Compose bundle.

Complete Vinted MCP and CLI Server

Enables users to retrieve and structure shipment tracking information from DB Schenker's website using natural language queries.

Validates URLs and checks their reputation to help identify AI hallucinations and verify web page authenticity.

Context-efficient MCP server for AI agents. fetch_extract reduces token usage by a median 98.1% (53,820 → 2,001 tokens) vs raw HTML — saves ~$0.156/call at Sonnet pricing. Pay $0.02 USDC on Base via x402. First call free per wallet. 10 always-free utility tools included.

An MCP-native pipeline for collecting structured intelligence on higher education institutions using the WHED schema, enabling scraping, extraction, validation, and saving of profiles.

A fault-tolerant, stealth-enabled Model Context Protocol (MCP) server for web searching and content fetching. Built for AI Agents (Cursor, Claude Code, OpenCode), it uses a stealth browser engine to fetch pages, dynamically handles SPAs/React, and converts bloat into token-optimized Markdown.

Provides browser automation tools for coding agents—goto, browse, goal, page_state, and summary—so agents can drive real pages through auditable, gated decisions and record traces for offline replay.

📈 提供股票、加密货币的数据查询和分析功能MCP服务器

LinkAgent is a Python MCP server that extracts structured data from any website via Chrome DevTools Protocol. It features a plugin architecture with LinkedIn-specific extractors for feed, profiles, companies, jobs, and search, plus a Chrome extension bridge for authenticated browsing.

Enables fetching weather forecasts for Israeli cities via browser automation with Playwright, no API needed.

Enables web search via Serper API with advanced search operators and webpage scraping capabilities to extract content in plain text or markdown format.

Exposes Amazon Nova Act web automation capabilities through the Model Context Protocol, enabling AI agents to perform browser tasks like navigation, data extraction, and form interaction.

Gives parents and carers read-only access to their children's learning journal entries, letting them list children, browse and keyword-search observations, retrieve full notes, tags and comments, and download attached photos and videos. It works by signing in with the user's own account credentials and calling the same internal endpoints the web app uses.

Provides web search and page fetching capabilities using Ollama's API.

Enables automated collection and AI-powered filtering of public QQ channel posts, comments, and images. Supports natural language criteria for content filtering and provides structured data storage in JSON/CSV formats.

Enables LLMs to fetch real-time, localized weather forecasts for Israeli cities by using Playwright to autonomously navigate and scrape weather2day.co.il, including handling Hebrew queries and stateful web interactions.

MCP server that lets users obtain current Israeli city weather forecasts. It uses Playwright to browse Weather2day, extract the forecast page, and feed the cleaned data back to the LLM for natural language responses.

An authless Cloudflare Workers server that provides tools to scrape, analyze, and answer questions about websites using Cloudflare's Browser Rendering and AI capabilities.