Packages

MCP server for Google's Gemini 2.5 Flash Image generation API with cross-platform support

MCP server for Google's Gemini 2.5 Flash Image generation API with Azure Blob Storage support

MCP server for Gemini image generation with model fallback support

MCP server for generating and editing images using Google Gemini API

This MCP server gives LLM/AI/Agents the ability to provide accurate navigation information. There are three main application areas (all can be combined): time & place, road-trips, and general aviation.

NetworkX MCP Server enables Large Language Models to perform sophisticated academic research and citation analysis directly within conversations.

MCP server for NewsAPI.ai (Event Registry)

NOVA is a privacy-first, decentralized file-sharing primitive, empowering user-owned AI at scale with encryted data persistence. NOVA enables secure storage and sharing of sensitive data (e.g., datasets for AI agent fine-tuning) without centralized intermediaries, leveraging group key management, IPFS, NEAR smart contracts, and verifiable TEEs via Shade Agents.

An MCP (Model Context Protocol) server designed to interact with the ntfy push notification service. It enables LLMs and AI agents to send notifications to your devices with extensive customization options.

Smart note consolidation for Obsidian using Claude AI. Automatically identifies and merges scattered fragments into structured knowledge via MCP.

Offorte MCP Server

econ-data-mcp: AI-powered economic data aggregation with MCP support

MCP server exposing multiple OSINT tools for AI assistants like Claude.

[](https://github.com/smithery-io/smithery)

MCP server for PageBolt — take screenshots, generate PDFs, create OG images, inspect pages, record demo videos with Audio Guide narration, from AI coding assistants like Claude, Cursor, and Windsurf.

A personal AI research paper ingestion and scoring pipeline. Paper Scout monitors arXiv, Semantic Scholar, and Hugging Face Daily Papers for new research, scores papers against your interest profile using local embeddings (no LLM calls), and stores candidates in MongoDB for review via MCP tools in Claude Desktop or Cowork.

**Works with any model. Uses 5–10x fewer tokens. Installs in 30 seconds.**

Model Context Protocol (MCP) server for Passgage Public API integration

[](https://github.com/anneschuth/pinchwork/actions/workflows/ci.yml)

Plan Cascade is an AI-powered cascading development framework that decomposes complex projects into parallel executable tasks, facilitating multi-agent collaboration and auto-generating project documentation.