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Product-Led Growth (PLG) analysis toolkit that detects tech stacks, plans growth loops and builds the loop iteratively.

Multi-head latent attention MoE router (DeepSeek V3 style)

A charming web app for managing family recipes, built for utility. | 可爱的家庭食谱管理应用，专注于实用性

Public metadata and connection guides for the hosted F1Laps MCP server.

Find, book, and change flights for your human via email.

Agentic interactive bash & Git diff patch synthesizer (SWE-agent style)

Devspace is a local AI-native development space. Powered by Ollama models, RAG-based context search, and pattern-aware agents—it reviews code, tracks structure, completes logic, and scaffolds full projects. Think: autonomous code architecture with memory.

Enables text generation using the Qwen Max language model with configurable parameters and seamless integration with Claude Desktop via the Model Context Protocol (MCP).

Daily low-token, safety-first upskilling loop for OpenClaw multi-agent teams.

change ScanResult file extension from txt -> xlsx located in template.

Remote MCP server for the UAPDrop research archive: 13,929 declassified UAP/UFO documents, 28,314 geocoded sightings, semantic search. Free tier available.

AI-powered mobile device automation for Android and iOS devices, emulators, and simulators

Punk-style ADHD body doubling for founders.

This MCP server provides automated multi-step web research capabilities using Google Gemini models and Google Search API to perform deep information gathering with citation tracking. Built by Alex Cong using Python with LangGraph workflow orchestration, FastMCP integration, and Google's generative AI tools, it implements a sophisticated research agent that generates diverse search queries, conducts parallel web searches, reflects on knowledge gaps through iterative loops, and synthesizes final answers with proper source attribution. The implementation offers configurable effort levels (low/medium/high) that control research depth through query count and loop iterations, supports both HTTP API and stdio MCP deployment modes, and includes LangGraph Studio integration for workflow visualization, making it valuable for research tasks requiring comprehensive information synthesis, fact-checking with source verification, and scenarios where AI assistants need to gather current information beyond their training data through systematic web exploration.

Create or refresh AEO-optimized content that gets cited by AI assistants (Gemini, ChatGPT, Perplexity)

MCP server for SAP Cloud Integration

A Gemini CLI extension that integrates BrowserMCP, giving your AI agent the ability to navigate and interact with web pages directly in your browser.

This is a simple sdk for building gemini agents that can call tools + work with mcp servers