CoinGecko MCP Server

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Model Context Protocol server that integrates AgentQL's data extraction capabilities.

AI image generation using various models

One API for Search, Crawling, and Sitemaps

BitcoinJS MCP Server is a Model Context Protocol (MCP) server that provides Bitcoin development tools using the bitcoinjs-lib library. This server enables Claude Code and other MCP clients to perform Bitcoin-related operations like address generation, transaction creation, and script compilation.

MCP server for interacting with Neon Management API and databases

Retrieving and analyzing issues from Sentry.io

Location services, directions, and place details

Channel management and messaging capabilities

NetForensicMCP V2.1 is a Model Context Protocol (MCP) server designed to empower Large Language Models (LLMs) with advanced offline network traffic analysis and threat intelligence capabilities. Built on top of Wireshark's tshark, NetForensicMCP provides comprehensive PCAP analysis tools for cybersecurity professionals, threat hunters, and network forensics investigators.

虎嗅官方 MCP 服务，现提供工具功能为精选原创视频推荐，视频涵盖: 美食科普类「赛博食录」、时尚消费类「三亿世代实验室」、健康医疗类「九叶刀」、汽车科技类「暗信号」、商业财经「并非虎扯」、前沿科技类「虎学研究」、人物对话类「关关过」。视频内容实时同步更新。 后续将提供图文资讯类等工具，敬请关注。

An MCP server implementation for retrieving information from the AWS Knowledge Base using the Bedrock Agent Runtime.

An MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.

A Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.

Repository management, file operations, and GitHub API integration

GBOX provides environments for AI Agents to operate computer and mobile devices. Mobile Scenario: Your agents can use GBOX to develop/test android apps, or run apps on the Android to complete various tasks(mobile automation). Desktop Scenario: Your agents can use GBOX to operate desktop apps such as browser, terminal, VSCode, etc(desktop automation). MCP: You can also plug GBOX MCP to any Agent you like, such as Cursor, Claude Code. These agents will instantly get the ability to operate computer and mobile devices.

天气

A Model Context Protocol (MCP) server for SearXNG search engine with multi-query parallel search support

Flag features directly from chat in your code editor, including VS Code, Cursor, Windsurf, Claude Code—any IDE with MCP support.

PyGhidra-MCP - Ghidra Model Context Protocol Server pyghidra-mcp is a command-line Model Context Protocol (MCP) server that brings the full analytical power of Ghidra, a robust software reverse engineering (SRE) suite, into the world of intelligent agents and LLM-based tooling. It bridges Ghidra’s ProgramAPI and FlatProgramAPI to Python using pyghidra and jpype, then exposes that functionality via the Model Context Protocol. MCP is a unified interface that allows language models, development tools (like VS Code), and autonomous agents to access structured context, invoke tooling, and collaborate intelligently. Think of MCP as the bridge between powerful analysis tools and the LLM ecosystem. With pyghidra-mcp, Ghidra becomes an intelligent backend—ready to respond to context-rich queries, automate deep reverse engineering tasks, and integrate into AI-assisted workflows. Yet another Ghidra MCP? Yes, the original ghidra-mcp is fantastic. But pyghidra-mcp takes a different approach: 🐍 No GUI required – Run entirely via CLI for streamlined automation and scripting. 🔁 Designed for automation – Ideal for integrating with LLMs, CI pipelines, and tooling that needs repeatable behavior. ✅ CI/CD friendly – Built with robust unit and integration tests for both client and server sessions. 🚀 Quick startup – Supports fast command-line launching with minimal setup. 📦 Project-wide analysis – Enables concurrent reverse engineering of all binaries in a Ghidra project 🤖 Agent-ready – Built for intelligent agent-driven workflows and large-scale reverse engineering automation. 🔍 Semantic code search – Uses vector embeddings (via ChromaDB) to enable fast, fuzzy lookup across decompiled functions, comments, and symbols—perfect for pseudo-C exploration and agent-driven triage.

A MCP server to send notification when task finish.

A Model Context Protocol server that provides access to Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.

This Snowflake MCP server provides tooling for Snowflake Cortex AI features, bringing these capabilities to the MCP ecosystem. When connected to an MCP Client (e.g. Claude for Desktop, fast-agent, Agentic Orchestration Framework), users can leverage these Cortex AI features. The MCP server currently supports the below Cortex AI capabilities: - Cortex Search: Query unstructured data in Snowflake as commonly used in Retrieval Augmented Generation (RAG) applications. - Cortex Analyst: Query structured data in Snowflake via rich semantic modeling. - Cortex Agent: Agentic orchestrator across structured and unstructured data retrieval

This MCP server provides AI assistants with real-time access to RuneScape 3 game data through the RuneScape Wiki APIs. It enables AI systems to retrieve current Grand Exchange prices, detailed item information (including stats, examine text, and alchemy values), historical price trends with configurable time intervals, and player statistics from the official hiscores across different game modes (normal, ironman, hardcore ironman). The server acts as a bridge between AI applications and RuneScape's extensive database, allowing for dynamic queries about items, market analysis, player progression tracking, and game-related assistance without requiring direct API knowledge or authentication from the end user.

A Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.

The Universal Hub for AI Agents aX Platform lets you bring any agent — regardless of framework — into a shared, secure workspace. Orchestrate, monitor, and co-create across private enclaves or public discovery spaces.

This is a Model Context Protocol (MCP) server implementation for Alpaca's Trading API. It enables large language models (LLMs) on Claude Desktop, Cursor, or VScode to interact with Alpaca's trading infrastructure using natural language (English). This server supports stock trading, options trading, portfolio management, watchlist handling, and real-time market data access.