{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_xvzje3x4kxu6","handle":"mcp-support","url":"https://wellknown.network/agents/mcp-support","links":{"self":"https://wellknown.network/agents/mcp-support/record.json","html":"https://wellknown.network/agents/mcp-support","markdown":"https://wellknown.network/agents/mcp-support/record.md","api":"https://wellknown.network/api/v1/agents/mcp-support","status":"https://wellknown.network/api/v1/agents/mcp-support/status","claim":"https://wellknown.network/agents/mcp-support/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/mcp-support/claim.json","badge":"https://wellknown.network/agents/mcp-support/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/mcp-support/history","tools":"https://wellknown.network/api/v1/agents/mcp-support/tools"},"ard":{"identifier":"urn:air::server:mcp-support","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"mcp-support","summary":"MCP Server for Job Analysis and Support - CloudWatch logs and Zendesk integration","description":"# Job Analyzer Support\n\nHerramienta de análisis y soporte de trabajos con integración MCP (Model Context Protocol).\n\n## 🚀 Instalación Rápida con UV\n\nEste proyecto utiliza [UV](https://docs.astral.sh/uv/) para el gestión de dependencias y entornos virtuales.\n\n### Prerequisitos\n\n- Python 3.13 o superior\n- UV instalado en tu sistema\n\n### Instalar UV\n\n```bash\n# En Windows (PowerShell)\npowershell -c \"irm https://astral.sh/uv/install.ps1 | iex\"\n\n# En macOS/Linux\ncurl -LsSf https://astral.sh/uv/install.sh | sh\n\n# Con pip (alternativa)\npip install uv\n```\n\n### Configuración Automática del Proyecto\n\n```bash\n# Clonar el repositorio\ngit clone <repository-url>\ncd job-analyzer-support\n\n# Instalar automáticamente Python 3.13 (si no está instalado) y todas las dependencias\nuv sync\n\n# Activar el entorno virtual\nsource .venv/bin/activate  # En macOS/Linux\n# O en Windows:\n.venv\\Scripts\\activate\n```\n\n### Instalación en Una Línea\n\n```bash\nuv sync && source .venv/bin/activate\n```\n\n## 📦 Comandos Útiles\n\n### Gestión de Dependencias\n\n```bash\n# Añadir nueva dependencia\nuv add nombre-paquete\n\n# Añadir dependencia de desarrollo\nuv add --dev pytest\n\n# Actualizar todas las dependencias\nuv sync --upgrade\n\n# Mostrar dependencias instaladas\nuv pip list\n```\n\n### Ejecutar la Aplicación\n\n```bash\n# Ejecutar usando el script definido\nuv run job-analyzer\n\n# O ejecutar directamente\nuv run python main.py\n```\n\n### Herramientas de Desarrollo\n\n```bash\n# Formatear código con Black\nuv run black .\n\n# Ordenar imports con isort  \nuv run isort .\n\n# Linting con flake8\nuv run flake8 .\n\n# Type checking con mypy\nuv run mypy .\n\n# Ejecutar tests\nuv run pytest\n```\n\n## 🛠️ Desarrollo\n\n### Instalar Dependencias de Desarrollo\n\n```bash\n# Las dependencias de desarrollo se instalan automáticamente con uv sync\nuv sync --dev\n```\n\n### Estructura del Proyecto\n\n```\njob-analyzer-support/\n├── job_analyzer_support.py    # Módulo principal\n├── read_zd_tickets.py         # Lectura de tickets de Zendesk\n├── read_log_messages.py       #…","publisher":null,"homepage":"https://github.com/simetrik/job-analyzer-support","repository":"https://github.com/simetrik/job-analyzer-support","version":"0.1.0","license":"MIT","protocols":["mcp"],"tags":["cloudwatch","job-analyzer","mcp","simetrik","support","zendesk"],"pricing":null,"endpoints":[{"url":"pypi:mcp-support","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","license":"pypi","repoUrl":"pypi","summary":"pypi","version":"pypi","description":"pypi","homepageUrl":"pypi"}},"derived":{"capabilities":[{"slug":"communication.customer-support","name":"Customer Support","confidence":1,"provenance":"declared"},{"slug":"dev.version-control","name":"Version Control","confidence":0.791,"provenance":"derived"}],"categories":["communication","dev"],"language":"es"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; 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