Packages

Official Alpaca MCP server enabling AI assistants to trade stocks, ETFs, crypto, and options, manage portfolios, access real-time and historical market data, and handle watchlists through natural language.

A collection of hands-on labs demonstrating how to build enterprise AI gateways using Azure API Management, covering load balancing, rate limiting, semantic caching, MCP integration, and multi-model routing with 30+ Jupyter notebook labs.


A blazingly fast gRPC client & server implementation in Zig, designed for maximum performance and minimal overhead.

AI LLM with Gemini, MiniMax, Replicate, OpenRouter. Vision, search, code review. USDC on Base.

A Go-based MCP (Model Context Protocol) server that runs over stdio and exposes a set of prompt templates as MCP “tools”, including prompt management utilities (e.g., list available prompts, reload prompt definitions) with hot-reload from a local prompts directory.

Provides an MCP server that uses the Python CCXT library to fetch real-time and historical cryptocurrency market data (prices, market summaries, top volumes, OHLCV, price change stats, and volume history) from multiple exchanges.

Provides a self-hosted MCP server exposing mem0 memory-management tools (and optional Neo4j graph tools) for use with Claude Code, backed by Qdrant for vector search, Ollama for embeddings and optionally LLM, and optional Anthropic/OAT integration for LLM-based extraction.

Een server die jouw 16 AI-agent skill blocks serveert achter Lightning Network paywalls via het L402 protocol. AI-agents betalen per query in sats — geen accounts, geen API-keys, geen signup.

Provides an MCP (Model Context Protocol) server that lets an MCP-compatible AI client search Reddit, browse subreddit post listings, fetch post details with comment trees, and retrieve user activity/posts. Supports stdio MCP transport by default and an HTTP (streamable-http) transport.

Provides an MCP (Model Context Protocol) server that manages Tailscale tailnet resources via the official Tailscale Go client library v2, exposing a large set of self-describing MCP tools (devices, keys, users/contacts, DNS/ACL policy, webhooks, logging, posture, tailnet settings).

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Provides an MCP (Model Context Protocol) server that exposes FFmpeg-backed tools for common video and audio editing tasks such as format conversion, trimming, resizing/aspect changes, codec/bitrate/frame-rate adjustments, overlays (text/images), subtitle burning, concatenation/transitions, and audio operations like silence removal and format/property conversion. Includes a health_check tool.

Provides an MCP server (Node/TypeScript) that wraps yt-dlp to let AI agents search for videos, extract metadata, download subtitles/transcripts, and download video/audio (including trimming), via MCP tools such as ytdlp_search_videos and ytdlp_download_video/audio.

Twitter/X API v2 for reading and posting tweets, searching public content, accessing user data, and streaming real-time tweet events.

MCP server that enables AI agents to interact with Android devices through ADB and Accessibility APIs, supporting gestures, typing, screen capture, and shell commands without requiring computer vision or OCR.

An MCP server that bridges BloodHound's Active Directory attack path analysis database to AI assistants, exposing 75+ tools for querying AD attack paths, privilege escalation routes, Kerberos vulnerabilities (Kerberoasting, AS-REP roasting), NTLM relay opportunities, and Active Directory Certificate Services (ADCS) misconfigurations via natural language. Instead of writing Cypher graph traversal queries manually, security professionals can ask an AI 'show me all paths from a Domain User to Domain Admin' and get results from their BloodHound Neo4j database. Designed for authorized penetration testing engagements where BloodHound data has already been collected from target AD environments.

crawl4ai-mcp-server is a self-hosted MCP server (stdio) that exposes Crawl4AI scraping/crawling capabilities to AI agents via four MCP tools: scrape, crawl, crawl_site, and crawl_sitemap. It supports Markdown extraction, BFS crawling with depth/page limits and optional adaptive stopping, and can optionally persist results to disk via output_dir/manifest files, while applying URL safety blocks for localhost/private/internal targets.