WhichModel
Server Details
Cost-optimized LLM model routing recommendations for autonomous AI agents
- Status
- Unhealthy
- Last Tested
- Transport
- Streamable HTTP
- URL
TDQS
Scored across 6 tools
Each tool has a clearly distinct purpose with no overlap: check_price_changes monitors historical pricing, compare_models compares specific models, estimate_cost projects workload costs, find_cheapest_capable filters by capabilities, get_pricing provides raw filtered data, and recommend_model offers task-based recommendations. The descriptions explicitly differentiate use cases and direct users to the appropriate tool.
All tool names follow a consistent verb_noun pattern using snake_case (e.g., check_price_changes, compare_models, estimate_cost). The naming is predictable and readable throughout, with no deviations in style or convention.
With 6 tools, the server is well-scoped for LLM model selection and pricing analysis. Each tool serves a unique function in the domain, covering monitoring, comparison, estimation, filtering, data retrieval, and recommendation without being overly sparse or bloated.
The toolset provides complete coverage for LLM model selection and cost management: it includes monitoring (check_price_changes), comparison (compare_models), cost estimation (estimate_cost), capability-based filtering (find_cheapest_capable), data lookup (get_pricing), and recommendation (recommend_model). There are no obvious gaps, and the tools work together to support end-to-end workflows.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
6 tool updates
- First observed
check_price_changes - First observed
compare_models - First observed
estimate_cost - First observed
find_cheapest_capable - First observed
get_pricing - First observed
recommend_model
Related MCP Connectors
LLM provider intelligence: recommendations, pricing, and status
AI model routing on your own vendor keys: pick the best model per prompt, or route and run it.
LLM Orchestration Agent
LLM Orchestration Agent 2
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