O que expense-tracker-mcp-server faz?
💰 Track your expenses efficiently with this Python-based MCP server, enabling AI assistants to manage and summarize your finances through natural conversation.
💰 Gerencie suas despesas de forma eficiente com este servidor MCP baseado em Python, permitindo que assistentes de IA controlem e resumam suas finanças por meio de conversas naturais.
Este servidor MCP (Model Context Protocol) foi desenvolvido em Python para integrar assistentes de IA, como Claude, a um sistema de rastreamento de despesas pessoais. Ele permite que os usuários registrem gastos, consultem categorias e obtenham resumos financeiros usando comandos em linguagem natural, eliminando a necessidade de formulários ou planilhas manuais. Ideal para desenvolvedores e profissionais que desejam automatizar o controle financeiro pessoal através de conversas com IA, o servidor se conecta diretamente ao contexto do agente, fornecendo ferramentas padronizadas para operações bancárias simplificadas. Com suporte a múltiplas plataformas de agentes de IA (como Claude Code, Cursor e Codex), ele oferece uma maneira prática e segura de gerenciar finanças sem sair do ambiente de desenvolvimento ou chat.
npx skills add manojkumarjanapati/expense-tracker-mcp-serverInstalled? Explore more Pesquisa e Análise de Dados skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
💰 Track your expenses efficiently with this Python-based MCP server, enabling AI assistants to manage and summarize your finances through natural conversation.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.