12 boosters for "cost" — AI-graded, open source, ready to install
RTK Optimizer suggests Rust Token Killer wrappers for verbose CLI commands to reduce token consumption by 50-90%, helping developers optimize costs and context window usage in AI-assisted coding workflows.
HiveMind-Actions is a serverless swarm AI system for GitHub that automates issue analysis and creates execution plans by coordinating multiple AI agents. It benefits development teams seeking to reduce infrastructure overhead while automating code review, issue triage, and implementation planning.
HiveMind-Actions is a GitHub Actions prompt that enables multi-agent AI code reviews by analyzing diffs against project rules and outputting structured JSON feedback. It benefits developers who want automated, rule-based code quality checks integrated directly into their CI/CD workflows.
Markdown Agents is a framework for defining AI agents using simple markdown files with YAML frontmatter, enabling version-controlled, portable agent configuration across Claude Code and Desktop. Developers benefit from reduced cognitive load, git-native memory tracking, and predictive AI collaboration without session amnesia.
A CFO expert agent for Yuanjing Tech that handles financial planning, budgeting, cost control, and investment strategies. Useful for startups and finance teams seeking structured financial advisory automation.
BlockRun MCP Server enables Claude users to access 30+ AI models through x402 micropayments without requiring API keys. This benefits developers who want flexible model access and cost-efficient AI inference across multiple providers.
Manages budgets, optimizes costs, forecasts revenue, and analyzes financial performance to ensure studio resources generate maximum return.
Heuristic scoring (no AI key configured).
A Multi-cloud pricing comparison MCP server that enables Claude to compare costs across AWS, Azure, GCP, and OCI platforms. Cloud architects, FinOps teams, and DevOps engineers use this to optimize cloud spending decisions.
Design AWS/Azure/GCP infrastructure, implement Terraform IaC, and optimize cloud costs. Handles auto-scaling, multi-region deployments, and serverless architectures. Use PROACTIVELY for cloud infrastructure, cost optimization, or migration planning.
An LLM-optimized TickTick task management MCP server that reduces token costs by 70% through intelligent time handling, enabling efficient AI-assisted task automation for productivity-focused developers and AI assistants.
