aa-mcp
Related Servers
Alternatives to aa-mcp
No user-submitted related servers found.
Related Servers
- AlicenseAqualityDmaintenanceEnables AI agents to query LLM and multimodal model benchmarks, pricing, speed, and track model updates via structured diffs using the Artificial Analysis public API.73MIT
- AlicenseAqualityDmaintenanceProvides access to real-time LLM pricing, speed metrics, and performance benchmarks for over 300 models from Artificial Analysis. It enables users to list, filter, and compare models based on costs, tokens per second, and intelligence indices.221 npm9MIT
- FlicenseNot gradedqualityDmaintenanceProvides real-time LLM pricing and availability data as an MCP server, enabling AI agents to make optimal model routing decisions at inference time with cited pricing sources.-
- AlicenseNot gradedqualityBmaintenanceEnables MCP clients to browse a live catalog of 100+ models with pricing, rankings and measured uptime, check credits and spend, and send chat completions through an OAuth-authenticated, per-connection key capped by a spend limit. Read tools are free, and paid calls are priced and approved before any credit is used.MIT
- AlicenseAqualityBmaintenanceExposes InferenceIndexer's live and historical inference pricing as MCP tools, enabling search of models, providers, price comparisons, and SIT index trends.815 PyPIMIT

FreeLLM-MCPofficial
AlicenseAqualityBmaintenanceEnables AI coding assistants and agent workflows to query live measured free-LLM performance and availability, including throughput, uptime, tool-calling success, and model diagnostics.41MIT
TDQS
Scored across 4 tools
Each tool targets a distinct query type: listing/filtering models, retrieving one model's full details, comparing a small set of models side-by-side, and finding which providers serve a model. The boundaries are clear and an agent would rarely have trouble picking the correct tool.
All tool names follow a consistent verb_noun snake_case pattern: list_models, get_model, compare_models, list_providers. Verbs clearly express the action and nouns consistently identify the resource.
Four tools is well-scoped for an LLM comparison and research server. Each tool addresses a major workflow—discovery, detail lookup, direct comparison, and provider analysis—without redundancy.
The read-only domain is covered end-to-end: list models with filtering and sorting, inspect a specific model's full metrics, compare 2-5 models directly, and check providers for a model. No obvious dead ends or missing operations are apparent for the server's stated purpose.