"Git MCP (Model Context Protocol) Server" matching MCP servers:

A server that enables language models to perform web searches through SearXNG using the Model Context Protocol standard.

AIFeed Open Standard. AIFeed Protocol to the building tools section. AIFeed enables web publishers to provide verified, token-efficient content feeds for AI agents.

Provides live web and document intelligence, including search, company news, scraping, crawling, structured extraction, document parsing, brand intelligence, screenshots, website monitoring, and batch jobs.

Exposes runtime-local capabilities from browsers, apps, devices, and local processes to AI agents through a unified MCP bridge, enabling path-based discovery and invocation of live context.

An MCP server that fetches web pages and extracts clean, AI-usable context from them, enabling tools for link discovery, content search, and integrated fetch-and-search operations.

Enables a person to point their own AI agent at specific on-screen app elements over MCP, letting the agent read the underlying data without sharing the screen or receiving visible content.

A read-only MCP server that gives AI agents the web as compact, ranked, verified evidence — no API keys, no cloud retrieval, all models local.

Enables AI assistants to inspect React component trees, props, state, and source locations in Chrome, facilitating UI debugging and analysis.

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.

Enables interaction with Google Maps through a dedicated browser session, supporting searches, directions, map views, and Street View without requiring the Google Maps Platform API.

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.

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.

A fork of Playwright MCP that adds PhiShark preflight and browser-deep security checks to block or warn on phishing and high-risk pages.

MCP server that connects to a self-hosted SearXNG instance and exposes web search capabilities over MCP HTTP (JSON-RPC), enabling AI chatbots to search the internet for real-time information.

Enables fetching weather forecasts for the USA via NWS API and for Israel via browser automation using Playwright.

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.

Enables natural language weather queries for cities in Israel and the United States, combining browser automation and official API retrieval.

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.

A single-file MCP server that turns any folder into a workspace for AI agents, enabling file operations, code search, shell commands, background jobs, HTTP testing, headless browsing, PDF extraction, and screen capture.