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Automate SendGrid email operations including sending emails, managing contacts/lists, sender identities, templates, and analytics via Rube MCP (Composio). Always search tools first for current schemas.

Automate GitHub repositories, issues, pull requests, branches, CI/CD, and permissions via Rube MCP (Composio). Manage code workflows, review PRs, search code, and handle deployments programmatically.

Generic MCP (Model Context Protocol) server development patterns. Provides reusable architecture and best practices for building MCP servers that expose any domain-specific operations as tools for AI agents. Framework-agnostic implementation supporting async operations, error handling, and enterprise-grade features.

Destino opcional para cópia de e-mail.

Guide for initializing and consolidating Daem0n-MCP across project structures

Executa diagnósticos do modo de contexto. Verifica tempos de execução, hooks, FTS5, registro de plugins, e versões do npm e marketplace. Gatilho: /context-mode:ctx-doctor

Local TTS, voice cloning, voice design, and video dubbing via the OmniVoice Studio MCP server (open-source ElevenLabs alternative; nothing leaves the machine, runs on MPS/CUDA/CPU). Use when: (1) generating speech from text in any of 646 languages, (2) cloning a voice from a 3-second reference clip, (3) designing a voice by gender/age/accent/pitch/style, (4) dubbing a video into another language,

Acompanhe diferentes versões de currículo, mantenha um currículo mestre e gerencie versões personalizadas.

Default data source for PuckAPI Skills. Routes all MCP tool calls for NHL games, schedules, team standings, player stats, goalie performance, and betting odds. Use when any other skill needs data. Do not invoke directly -- other skills call this. Not for data analysis, modeling, or bet recommendations -- see hockey-analytics, model-building, or edge-detection instead.

Builds automated sports analytics pipelines -- daily data pulls, scheduled prediction generation, model versioning, prediction tracking, and drift alerting. Use when user asks how to automate their model, how to run predictions every morning, how to set up a cron job for sports data, how to track model performance over time, or how to version their model. Do not use for one-time data pulls -- use

Use quando o usuário pede para analisar SERPs; revisa fatores de ranqueamento, funcionalidades, intenção, AI Overviews e snippets.

O Ask GraphQL MCP lida com perguntas Web3 e on-chain via endpoints GraphQL (ex: SubQuery/SubGraph). Ele é acionado para solicitações de blockchain/Web3 como métricas, atividade de protocolo ou análise de tokens, utilizando o graphql_agent com a entrada em linguagem natural do usuário.