mcp agentic rules

mcp demo

A semantic search system for Markdown notes with Model Context Protocol (MCP) server integration. Build searchable embeddings indexes from your Markdown files and expose them via JSON-RPC 2.0 over stdio for LLM integrations.

video-clip-mcp

Add a .pcap(ng); automated reporting; all powered by GitActions, Gemini-CLI, and Packet Copilot MCP

ifs cloud mcp vscode

Inspects MCP servers via cli , only stio servers

MCP servers for Omilia Cloud Platform

Dockerized Shopify.dev MCP server

Build your own mcp server with spring ai

MCP server to interact with Chrome

mcp cursor rules

Unified, strongly-typed management across multiple endpoints with auto-reconnect and discovery, featuring an event-driven workflow for efficient cross-endpoint tooling.

TypeScript-based toolset offering file operations, system info, HTTP requests, and command execution for streamlined automations.

Python-based file system tooling enabling navigation, reading, writing, editing, searching, and batch analysis with integrated code quality checks.

A powerful Node.js SDK for managing MCP projects with Claude AI, dependencies, and storage, featuring extensible architecture.

mcp

Python MCP server transforming web pages into clean, LLM-optimized Markdown by removing noise with Readability-based extraction.

Feature-rich dev environment combining UV package management, Open Interpreter integration, containerized Python workflows, and robust tooling for rapid development.

Lightweight MCP server enabling note storage via a custom URI, plus a summarize-notes prompt and add-note tool for streamlined note management.

Local note management with a note:// scheme, summarize-notes prompts, and add-note tool for comfyUI.

📈 Experiment with LLM-assisted equity trading flows in a modular sandbox using MCP servers, trader agents, and a simple SQLite database for accounts.

📰 Aggregate and analyze news effortlessly with the News MCP platform, featuring automatic feed management and AI-driven insights for informed decision-making.

Earthcast environmental data fused with NOAA/Open-Meteo forecasts delivering launch safety and space weather insights for AI workflows.