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.72MIT
- 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.228 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.-
- AlicenseAqualityBmaintenanceExposes InferenceIndexer's live and historical inference pricing as MCP tools, enabling search of models, providers, price comparisons, and SIT index trends.8MIT
- AlicenseNot gradedqualityAmaintenanceAn MCP server that gives AI assistants current model-selection context from the OpenRouter catalog and Artificial Analysis benchmarks, enabling workload-specific recommendations with constraints like tool calling, context, price, and optional Zero Data Retention. It also helps compare candidate models and inspect catalog, benchmark, ZDR, and cache status.0MIT
- FlicenseNot gradedqualityBmaintenanceProvides real-time AI infrastructure data including LLM costs, model benchmarks, API deprecations, quality scores, and agent spend tracking. Supports authentication, rate limiting, x402 micropayments, and Stripe billing.-
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.