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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.

An MCP server that exposes authoritative, read-only Conda ecosystem metadata for AI agents, enabling package search, dependency resolution, and other packaging queries without side effects.

MCP server: evaluate and simplify mathematical expressions (mathjs).

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

Scan networks to discover devices, gather MAC addresses.

Enables AI assistants to read and manage your Bring! shopping lists through natural language commands like adding items, marking purchases, and retrieving list contents.

Converts DOCX files to Markdown with formatting preservation and image extraction, and provides image analysis tools for document processing workflows.

Provides verified event dates, countdown semantics, and custom countdown sharing from Countdowns Online to MCP-compatible AI clients.

Provides real-time weather data via 12 tools (current weather, forecasts, air quality, umbrella advice, etc.) using Open-Meteo and FastMCP, enabling LLMs to answer weather-related queries.