MCP Servers

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.

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).

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.

Expert guide for understanding the Local Skills MCP server repository - its structure, architecture, and implementation. Use when exploring this MCP server's codebase, understanding how Local Skills MCP works internally, or contributing to the project.

Interact with Meegle project management system via MCP protocol