23,493 mods in this category, of every kind an
agent can take. Each one carries what it costs per session, what the
scan found, and whether it is the original.
Personal financial strategist powered by Monarch Money data. Query accounts, transactions, cashflow, and categories via the local HTTP proxy. Applies frameworks (50/30/20, debt avalanche/snowball, spending leak detection) to produce actionable financial analysis and recommendations.
Model Context Protocol server for Sensor Tower APIs - Access mobile app intelligence data with dual token support. Runs locally from the @feedmob/sensor-tower-mcp-pro npm package.
Ask Claude or ChatGPT about your WHOOP data. Recovery, sleep, strain, and workout analysis computed from your own records. Runs locally from the whoop-mcp-server Python package.
MCP server for ParseBounce — check email bounces, complaints, suppressions and deliverability stats for AWS SES, SendGrid, Mailgun, SparkPost, Postmark and Mandrill from Claude, Cursor, VS Code or any MCP client. Runs locally from the @parsebounce/mcp-server npm package.
★not rated 0 16d agoA
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MCP server for real-time package versions, download counts, and service status. Covers 1,000+ npm/PyPI packages and 76 cloud services. Runs locally from the grounded-mcp Python package.
★not rated 0 13d agoA
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Advanced AI-powered Airtable MCP server with TypeScript support, intelligent analytics, predictive modeling, and enterprise automation capabilities. Runs locally from the @rashidazarang/airtable-mcp npm package.
★not rated 0 6d agoA
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originalMIT
A skill for analysing how an agent platform is used, including runs, sessions, time, tokens, cost, scenarios, users, trends, and risks. It can produce HTML reports for one day or a date range.
MCP Server for AI agents to manage Shopify stores - products, orders, inventory, analytics, and SEO optimization. Runs locally from the @xmqywxkris/shopify-store-mcp npm package. Needs 2 environment variables to run.
★not rated 0 5mo agoA
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originalMIT
ÚNICA herramienta para consultar estadísticas, conteos y cruces de historias clínicas. Permite agrupar por múltiples dimensiones (edad, sexo, zona, servicio, especialidad, diagnósticos, obrasocial, año, mes) y filtrar por fechas, patologías activas y tipos de registro.