Ralph Wiggum MCP

Put performance and error data directly in the hands of your AI assistant.

Access financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more

Structural codebase indexer with 17 query tools. 87% token reduction. Zero dependencies.

Empowers LLMs with real-time network traffic analysis using tshark. Requires Wireshark's tshark to be installed.

A demonstration server for ActionKit, providing access to Slack actions via Claude Desktop.

Provides AI agents with access to development best practices, security guidelines, and coding standards.

Integrates with Jenkins CI/CD systems for AI-powered insights, build management, and debugging.

Multi-agent orchestration for Claude Code - spawn and control multiple Claude instances via MCP

Provides isolated Docker environments for secure code execution.

A template for deploying a remote MCP server on Cloudflare Workers, allowing for custom tool integration.

AI-powered safety tools for detecting grooming, bullying, threats, and harmful interactions in conversations. The server integrates Tuteliq’s behavioral risk detection API via the Model Context Protocol (MCP), enabling AI assistants to analyze interaction patterns rather than relying on keyword moderation. Use cases include platform safety, chat moderation, child protection, and compliance with regulations such as the EU Digital Services Act (DSA), COPPA, and KOSA.

Provides context about shadcn/ui components, including structure, usage, and installation for React, Svelte, and Vue.