ai-economics-mcp
Related Servers
Alternatives to ai-economics-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceMCP server that enables AI agents to request human approval before spending money, check approval status, verify signed tokens, and manage API keys.4 npmMIT

zunivo-mcpofficial
AlicenseAqualityCmaintenanceMCP server that lets AI agents discover and pay for .agent services using USDC over x402, with daily budget controls and payment link creation.613 npmMIT- AlicenseNot gradedqualityCmaintenanceAn MCP server providing tools for AI agents to mint ERC-20 tokens across multiple blockchains.8 npm21MIT
- AlicenseCqualityAmaintenanceAn MCP server that gives AI agents real-time market data, DeFi intelligence, and automatic tool discovery via plugins. Supports x402 micropayments and is always updated.23MIT
- AlicenseAqualityAmaintenanceMCP server that gives AI agents paid access to Invoket APIs, with discovery-driven tools, spending caps, and non-custodial payments via x402.707 npm1MIT
- AlicenseNot gradedqualityDmaintenanceAn MCP server that provides DeFi data tools (crypto prices, whale concentration, funding rates) for AI agents via the x402 protocol.10 npm1MIT
TDQS
Scored across 12 tools
Each tool targets a distinct metric, so an agent can generally tell them apart. However, several tools cluster around cost/energy/verification themes, and token_burn, token_cost, and llm_energy could be confused at a glance without reading the descriptions closely.
All tool names follow the same lowercase snake_case convention and are descriptive noun phrases representing metrics. Even though they are not verb_noun names, the pattern is consistent and predictable across the entire set.
Twelve tools is well within the ideal range for a specialized calculator server. Each tool earns its place by covering a distinct AI economics or energy metric, and the count is neither thin nor bloated.
The suite covers token costs, energy use, verification, autonomy, routing, and agent-hour economics, which forms a coherent calculator surface. Minor adjacent gaps exist, such as training-cost modeling or scenario comparison, but agents can usually combine existing outputs to work around them.