SkillFM LLM Cost Optimizer
LLM cost optimizer for OpenAI, Anthropic, token usage, BYOK, and SkillFM Beacon audits.
What is SkillFM LLM Cost Optimizer?
SkillFM LLM Cost Optimizer is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to llm cost optimizer for openai, anthropic, token usage, byok, and skillfm beacon audits.
LLM cost optimizer for OpenAI, Anthropic, token usage, BYOK, and SkillFM Beacon audits.
This server falls under the Monitoring & Observability category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- LLM cost optimizer for OpenAI, Anthropic, token usage, BYOK,
Use Cases
Maintainer
Works with
Installation
NPM
npx -y @skillfm/llm-cost-optimizer-mcpManual Installation
npx -y @skillfm/llm-cost-optimizer-mcpConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about SkillFM LLM Cost Optimizer
What is SkillFM LLM Cost Optimizer?
SkillFM LLM Cost Optimizer is a Model Context Protocol (MCP) server that llm cost optimizer for openai, anthropic, token usage, byok, and skillfm beacon audits. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install SkillFM LLM Cost Optimizer?
Install via npm with the command: npx -y @skillfm/llm-cost-optimizer-mcp. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).
Which AI clients work with SkillFM LLM Cost Optimizer?
SkillFM LLM Cost Optimizer works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is SkillFM LLM Cost Optimizer free to use?
Yes, SkillFM LLM Cost Optimizer is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Set Up SkillFM LLM Cost Optimizer in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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