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Enables browser automation through Playwright with persistent sessions and cookie state management. Supports web navigation, page interaction, and browser control via JSON-RPC protocol over stdin/stdout.

Enables inspection of any website's AI-search readiness, checking AI crawler blocks, llms.txt, schema markup, and indexing directives from MCP clients like Claude.

Enables vision capabilities for any AI model by routing image analysis requests through OpenRouter's vision models. It provides tools to analyze images from URLs, local file paths, or base64 data.

A Model Context Protocol (MCP) server for interacting with the DNSDumpster API, enabling AI assistants to perform detailed DNS reconnaissance through natural language requests.

A server that wraps a self-hosted mem0 REST API as MCP tools for Claude Desktop and Claude Code, enabling memory operations such as adding, searching, and managing memories via natural language.

This MCP Etherscan server provides Ethereum blockchain data tools via Etherscan's API. Built with TypeScript and leveraging the ethers.js library, it offers features like balance checking, transaction history viewing, token transfer tracking, contract ABI fetching, gas price monitoring, and ENS name resolution. The server is designed to run on stdio, making it compatible with MCP clients like Claude Desktop. By abstracting Etherscan API interactions into standardized MCP tools, it enables AI systems to easily access and analyze Ethereum blockchain data. This implementation is particularly useful for applications requiring real-time Ethereum data, such as DeFi analytics, wallet monitoring, or smart contract development assistance.

Enables AI agents to automate browser interactions using Selenium WebDriver, supporting multiple browsers and tools for navigation, clicking, typing, screenshots, and more.

Provides a human-approval tool for MCP-compatible agents, pausing execution until a human approves or edits the action, with every decision logged.

Bitquery MCP — trade-level blockchain data (DEX trades, transfers, holders)

Connects AI agents to Conduit data streams for ingesting events, querying data, and managing schemas. It enables seamless integration between services and agents with real-time forwarding and automated schema detection.

Claude Code CLI integration for Unreal Engine 5.7 - Get AI coding assistance with built-in UE5.7 documentation context directly in the editor.

An MCP server for the Open Food Facts API that allows users to search, read, and contribute to a global food database. It enables looking up nutrition data by barcode or name and managing product information through natural language.

Deploys HTML pages to an online preview platform and returns a shareable URL via MCP protocol.

Enables interaction with the Innovaas Knowledge Management System through MCP, providing multi-modal search, RAG-powered chat with intelligent token management, and document access.

A source-aware MCP server that connects AI agents to browser and server runtimes, enabling real-time debugging, monitoring, and automatic fixes via WebSocket or HTTP.

Enables interaction with Paystack via MCP tools to get total transactions, create checkout links, and verify transactions.

Enables AI-powered image generation using Google's Gemini 2.5 Flash Image Preview model, supporting text-to-image and image-to-image generation through the MCP interface.

LaunchDarkly MCP Pack — wraps the LaunchDarkly REST API v2

MCP-Gemini provides a server implementation that integrates Google's Gemini AI model with additional context-enhancing capabilities through Google Search and YouTube APIs. Built with TypeScript and Fastify, this server exposes endpoints for text generation, chat functionality, and content analysis with external data enrichment. The implementation uses environment variables for configuration and API key management, while leveraging the Model Context Protocol SDK to standardize interactions between AI assistants and the Gemini model. Particularly useful for applications requiring AI responses augmented with real-time web search results or video content analysis.

Creates custom VS Code chat modes and prompts for specialized development workflows such as Azure migration, Bicep development, and spec-driven development.