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LLM provider intelligence for AI agents. Get ranked recommendations for your task type, compare pricing and capabilities. Tools: recommend_llm, list_providers, check_provider_status.

Ownership verified
Status
Healthy
Uptime
100.0% over the last 24 hours
Last Tested
Transport
Streamable HTTP · MCP 2024-11-05
URL
ChatGPT
–
Claude
–

TDQS

A4.1/5.0

Scored across 3 tools

Disambiguation5/5

Each tool has a distinct purpose: checking status, listing providers with filters, and recommending a provider for a task. No overlap or ambiguity in their roles.

Naming Consistency5/5

All three tools follow a consistent verb_noun pattern (check_provider_status, list_providers, recommend_llm), making the interface predictable and intuitive.

Tool Count5/5

With 3 tools, the server is tightly scoped to the core functionality of provider intelligence: status, listing, and recommendation. Each tool earns its place without unnecessary bloat.

Completeness4/5

The surface covers the essential workflows—checking operational health, browsing provider capabilities, and getting recommendations. A minor gap is the lack of a dedicated 'get_provider' detail tool, but list_providers with filtering can substitute.

Available Tools

3 tools
check_provider_statusAInspect

Check operational status and recent latency for one or all LLM providers.

Inputs: provider.

list_providersAInspect

List LLM providers with their capabilities, pricing, and agent scores. Filter by specific requirements.

Inputs: best_for, max_price, x402_native, tool_calling.

recommend_llmAInspect

Get the best LLM provider for your specific agent task. Returns top 3 ranked recommendations with reasoning.

Inputs: task, priority, min_context, require_tool_calling, +1 more.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

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