MCP Servers

Scan ClawHub skills for security vulnerabilities BEFORE installing. Use when installing new skills from ClawHub to detect prompt injections, malware payloads, hardcoded secrets, and other threats. Wraps clawhub install with mcp-scan pre-flight checks.

This skill calls the AIUSD backend via MCP. Auth is resolved in order: env MCP_HUB_TOKEN, mcporter OAuth, or local ~/.mcp-hub/token.json. Ensure a valid Bearer token is available before calling.

This skill calls the AIUSD backend via MCP. Auth is resolved in order: env MCP_HUB_TOKEN, mcporter OAuth, or local ~/.mcp-hub/token.json. Ensure a valid Bearer token is available before calling.

Set up and run the OpenViking MCP server for RAG capabilities. Use when users need semantic search and document Q&A exposed through Model Context Protocol for Claude Desktop/CLI or other MCP clients. Triggers on requests about OpenViking MCP, RAG servers, or semantic search MCP setup.

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

This skill calls the AIUSD backend via MCP. Auth is resolved in order: env MCP_HUB_TOKEN, mcporter OAuth, or local ~/.mcp-hub/token.json. Ensure a valid Bearer token is available before calling.

A knowledge graph memory system using SurrealDB with vectorized semantic search, confidence scoring, graph-aware fact relationships, MCP tools, and LLM-powered knowledge extraction.

This skill calls the AIUSD backend via MCP. Auth is resolved in order: env MCP_HUB_TOKEN, mcporter OAuth, or local ~/.mcp-hub/token.json. Ensure a valid Bearer token is available before calling.

Set up gbrain for this coding agent: install the CLI, initialize a local PGLite or Supabase brain, register MCP, capture per-remote trust policy. One command from zero to "gbrain is running, and this agent can call it." Use when: "setup gbrain", "connect gbrain", "start gbrain", "install gbrain", "configure gbrain for this machine". (gstack)

The ultimate autonomous dev pipeline. Combines wavybaby (CoVe verification, skill discovery, MCP tooling) + GSD (roadmaps, phases, plans, discovery, state tracking) + Ralph (autonomous loop with circuit breakers). Generates a PRD, equips itself with the best tools, bootstraps a full GSD .planning/ structure, then runs Ralph to autonomously execute each plan with CoVe-verified code until the milestone is complete.

Build and run Python-based AI agents using the AWS Strands SDK. Use when you need to create autonomous agents, multi-agent workflows, custom tools, or integrate with MCP servers. Supports Ollama (local), Anthropic, OpenAI, Bedrock, and other model providers. Use for agent scaffolding, tool creation, and running agent tasks programmatically.

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).