MCP (Model Context Protocol) server for photo-organizer: organize photos/videos by date with a safe preview+confirm workflow. Independent from the PyPI package "photo-organizer" by Supporterino.
Package registries and dependency data.
MCP (Model Context Protocol) server for photo-organizer: organize photos/videos by date with a safe preview+confirm workflow. Independent from the PyPI package "photo-organizer" by Supporterino.
Local GitHub MCP server exposing GitHub REST API via FastMCP stdio transport
An MCP server that parses GitHub issues and returns formatted plain text content
MCP server for automated Git commit workflows with conventional commit messages
A Model Context Protocol (MCP) server that empowers AI agents to search and retrieve lively GIFs from Giphy, enhancing chat and documentation experiences.
GitHub Issues-backed backlog MCP server for Claude Code
Complete versioned GetBible API server for the Model Context Protocol
MCP server for producing latitude/longitude coordinates for cities and areas using OpenStreetMap Nominatim API
MCP server for VolcEngine GenSongV4
Model Context Protocol (MCP) server for GenLayer documentation
A clean-room Graphiti MCP server for the Claude CLI: embeds graphiti-core and writes to Neo4j synchronously, with no silent-drop queue.
Visual tech-stack inventory of any codebase: languages, frameworks, databases, AI SDKs, infra.
MCP server that exposes Gemini web search and document question answering tools.
Gemini Text, Image, Speech, and more MCP Servers Implementation | DeepNLP OneKey MCP Router Support of Free Tier and More Choices Routers. Supports Text, Gemini Image Preview(Nano Banana) and more SOTA models (Gemini 3, Gemini 2.5 Pro, etc).
FastMCP server wrapping Google's Gemini CLI — use Gemini models from any MCP client
Lightweight MCP server bridging Claude Code to Google's Gemini AI via official CLI
FastMCP server wrapping Google's Gemini CLI — use Gemini models from any MCP client
MCP interface for Google Cloud Platform
MCP server exposing the Game Boy Pan Docs as structured, citable lookups for decompilation work
Drive GAUSS from Python, and expose it to LLM clients over MCP