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MCP para o Tarefy — expõe tarefas e conversas para agentes de IA","maintainers":[{"name":"alanvncs.main","email":"alanvncs.main@gmail.com"}],"readme":"# @alanvncs/tarefy-mcp\n\nServidor [MCP](https://modelcontextprotocol.io) para o [Tarefy](https://tarefy.com). Expõe tarefas, conversas internas e conversas públicas para uso por agentes de IA (por exemplo no Cursor).\n\n## O que é o Tarefy\n\n[Tarefy](https://tarefy.com) é uma plataforma de gestão de tarefas e produtividade para equipes, empresas e freelancers: criar tarefas, atribuir responsáveis, definir prazos, acompanhar progresso e centralizar a comunicação. Este servidor MCP expõe as informações completas das tasks (dados gerais + conversas) para agentes de IA.\n\n---\n\n## Instalação do MCP\n\nNo Cursor, edite `~/.cursor/mcp.json` (ou o equivalente no seu sistema) e adicione:\n\n```json\n{\n  \"mcpServers\": {\n    \"tarefy\": {\n      \"command\": \"npx\",\n      \"args\": [\"@alanvncs/tarefy-mcp@latest\"]\n    }\n  }\n}\n```\n\nReinicie o Cursor para carregar o servidor.\n\n---\n\n## Ferramentas\n\n### `login`\n\nAutentica no Tarefy para que as demais ferramentas possam usar a API.\n\n| Parâmetro | Tipo     | Descrição                                                                  |\n|----------|----------|----------------------------------------------------------------------------|\n| `email`  | opcional | Email do usuário; se informado, o campo de email é preenchido no navegador. |\n\n**Comportamento:**\n\n1. Abre o Chrome (Playwright), acessa a [página de login](https://app.tarefy.com/login) e aguarda o usuário fazer login (o email é preenchido automaticamente se informado).\n2. Obtém o cookie `tarefy` (token da API HTTP do Tarefy).\n3. Salva o token em `~/.tarefy-mcp/token.txt` para uso pelas outras ferramentas.\n\n**Requisito:** Chrome instalado (o Playwright usa o canal `chrome`).\n\n---\n\n### `get-task`\n\nObtém os dados completos de uma task: dados gerais, conversas internas (equipe) e conversas públicas (cliente).\n\n| Parâmetro | Tipo        | Descrição                                                                 |\n|-----------|-------------|----------------------------------------------------------------------------|\n| `taskId`  | obrigatório | ID da task, o mesmo da URL: `https://app.tarefy.com/task/{{taskId}}`.     |\n| `prompt`  | opcional    | Instruções sobre formato/conteúdo da resposta. Se omitido, retorna todos os dados em JSON. |\n\n**Comportamento:**\n\n1. Lê o token salvo por `login` (se não houver, retorna erro orientando a usar `login` primeiro).\n2. Obtém os dados gerais da task, as conversas internas e as conversas públicas pela API do Tarefy.\n3. Sem `prompt`: devolve um JSON no formato `{ task, comments, publicComments }`. Com `prompt`: devolve o mesmo JSON precedido das instruções informadas (para o cliente/agente interpretar ou reformatar).\n\n---\n\n## API do Tarefy (usada pelo servidor)\n\nO servidor chama a API HTTP do Tarefy com os seguintes detalhes.\n\n**Headers em todas as requisições:**\n\n```http\nContent-Type: application/json\nAuthorization: Bearer <token>\n```\n\nO `<token>` é o valor do cookie `tarefy` obtido após o login (salvo em `~/.tarefy-mcp/token.txt`).\n\n**Endpoints:**\n\n| Recurso              | Método | URL                                                                 | Observação                                                                 |\n|----------------------|--------|---------------------------------------------------------------------|----------------------------------------------------------------------------|\n| Dados da task        | GET    | `https://app.tarefy.com/nodeapi/v2/tasks/{{taskId}}`                | `taskId` = ID da URL da task (ex.: `/task/12345` → `12345`).               |\n| Conversas internas   | GET    | `https://app.tarefy.com/nodeapi/task/comments?id={{ticketId}}`     | `ticketId` = campo `id` retornado nos dados gerais da task.                 |\n| Conversas públicas   | GET    | `https://app.tarefy.com/nodeapi/task/comments/client?id={{ticketId}}` | Idem: `ticketId` = `id` dos dados gerais.                                  |\n\n- **Conversas internas:** alinhamentos da equipe, eventos sistêmicos (ex.: mudança de área); não visíveis para o cliente.\n- **Conversas públicas:** aprovações, prazos, pedidos de dados, dúvidas; visíveis para o cliente.\n\n---\n\n## Desenvolvimento\n\n**Requisitos:** Node ≥ 18, [Bun](https://bun.sh) (gerenciador de pacotes).\n\n| Comando           | Descrição                          |\n|-------------------|------------------------------------|\n| `bun install`    | Instalar dependências              |\n| `bun run build`  | Compilar TypeScript → `build/`     |\n| `bun run start`  | Rodar o servidor (`node build/index.js`) |\n| `bun run dev`    | Rodar sem build (`bun run src/index.ts`) |\n| `bun run inspector` | Testar o servidor com [MCP Inspector](https://modelcontextprotocol.io/legacy/tools/inspector) (build + UI em `http://localhost:6274`) |\n| `bun test`       | Testes unitários                   |\n| `bun run lint`   | ESLint                             |\n| `bun run format` | Prettier (formatação)              |\n\nO binário publicado no npm é `build/index.js` (uso com `npx` ou como `tarefy-mcp` após instalação global).\n\n**Publicação no npm:** o workflow do GitHub usa [Trusted Publishing](https://docs.npmjs.com/trusted-publishers) (OIDC); não é necessário configurar `NPM_TOKEN`. É preciso registrar o Trusted Publisher uma vez em npmjs.com → Package → Settings → Trusted publishing (repositório e nome do workflow: `publish-npm.yml`). O workflow dispara em **push de tags** `v*` (ex.: `v0.1.2`) ou manualmente. Para criar uma nova versão e publicar: `bun run release` (bump **patch**), ou `bun run release -- minor` / `bun run release -- major`. O script (TypeScript, rodado com Bun) faz o bump em `package.json`, commit com mensagem `vX.Y.Z`, tag e push; não precisa do GitHub CLI.\n\n---\n\n## Licença\n\nMIT\n","readmeFilename":"README.md"}