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Tool that runs axe-core accessibility tests via Puppeteer against any URL or local app, producing detailed, actionable violation reports and enabling Cursor workflows.

Node-based MCP server transparently caches data to reduce token usage across language models and clients.

Sports betting data gateway exposing The Odds API to Claude and AI assistants with test/real modes for safe development and demos

Secure, multi-chain tool enabling AI models to fetch balances, token prices, and blockchain data via Ankr Advanced API.

Firecrawl-powered toolset enabling advanced web scraping, intelligent content search, site crawling, and structured data extraction with customizable prompts.

Flexible Cursor IDE template enabling rapid integrations via Docker, SSE, or stdio with easy deployment.

Analyzes Figma structures via REST and a protocol with configurable depth and OpenAPI support.

Semgrep integration enabling static analysis, rule management, and results export via a standardized protocol for IDEs.

Real-time event data with Ticketmaster integration, delivering structured, easily parsable responses for AI agents.

Agent-based workflow orchestrator that plugs into a bridge, enabling JSON-driven tasks, conditional flows, and AI-assisted actions.

OpenAI-compatible agent centralizes tools and prompts across models using a DRY, distributed architecture for cross-backend workflows.

A modular LangGraph-to-MCP adapter enabling seamless graph-driven context sharing and dynamic prompt orchestration across MCP-powered agents.

A lightweight gist-focused data bridge delivering context-ready content to clients.

Production-ready Immich integration enabling AI assistants to manage albums, search, and uploads.

Curated tool catalog with ready-to-use templates and setup notes enabling diverse automation and data tasks.

Independent, community-driven knowledge base offering comprehensive v1.4.1 protocol coverage with guides, examples, and practical integration insights.

Semantic search across Star Wars planets using Couchbase vector lookup for fast, contextual planetary insights.

This project uses Quarkus and the Model Context Protocol] to implement a simple agentic app using multiple MCP servers and Quarkus + LangChain4j.

Extracts YouTube transcripts from standard, shortened, and embed URLs with English captions, featuring robust validation and error handling.

Delivers multi-language code completion, bug fixing, and test generation with robust validation and rate-limited reliability.

A lightweight, LLM-friendly interface to query Safe activity, decode payloads, and integrate Safe API with minimal setup.

PyHi is a Python voice assistant with a pure extension-based architecture enabling modular capabilities for weather, calendars, and media lookups.

Lightweight, copy-paste friendly demo showing Slack notifications via a context protocol workflow using a Docker-based setup for quick hands-on learning