metrxbots/mcp-server
by Various
MCP server for AI agent cost intelligence — 23 tools to track spend, optimize models, manage budgets, detect waste, and prove ROI
MCP
metrxbots/mcp-server
Added 1 June 2026
Overview
MCP server that provides 23 tools for AI agent cost intelligence. It enables tracking spending across models, optimizing model selection, managing budgets, detecting waste, and demonstrating ROI via the Model Context Protocol.
Best for
Best for
Developers who need to instrument AI agents with detailed cost tracking and optimization logic.
Use cases
- Monitor real-time LLM token usage and costs across multiple providers
- Set budget thresholds and receive alerts when spending exceeds limits
- Analyze cost-per-task to identify inefficient model choices
Notes
MCP server that provides 23 tools for AI agent cost intelligence. It enables tracking spending across models, optimizing model selection, managing budgets, detecting waste, and demonstrating ROI via the Model Context Protocol.
1 stars on GitHub. Last updated 2026-05-29. Licensed MIT.
Use cases
- Monitor real-time LLM token usage and costs across multiple providers
- Set budget thresholds and receive alerts when spending exceeds limits
- Analyze cost-per-task to identify inefficient model choices
Pros
- Comprehensive set of 23 dedicated cost management tools in one server
- Uses the MCP standard for easy integration with AI agents and tools
- Written in TypeScript, offering type safety and good developer experience
Cons
- Very early stage (1 GitHub star) with limited community and testing
- No documented integrations or usage examples beyond the repository description
- Requires self-hosting and configuration of an MCP client to be useful
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Comprehensive set of 23 dedicated cost management tools in one server
- Uses the MCP standard for easy integration with AI agents and tools
- Written in TypeScript, offering type safety and good developer experience
Cons
- Very early stage (1 GitHub star) with limited community and testing
- No documented integrations or usage examples beyond the repository description
- Requires self-hosting and configuration of an MCP client to be useful
Pairs with
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