Exposes InferenceIndexer's live and historical inference pricing as MCP tools, enabling search of models, providers, price comparisons, and SIT index trends.
Limited view. Automated analysis covers part of this stack. Findings reflect what we verified. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.
Limited view: static analysis for Python is partially covered.
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DesMartin01
Source: Glama
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II_API_BASEInferenceIndexer API base (default http://34.246.208.210:8000)II_API_KEYOptional Bearer key (use to raise rate limits)II_SSR_SECRETOptional first-party SSR secret (higher rate tier)Tool annotations
No tools have read-only/destructive annotations
Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.
All four hints declared on every tool
8/8 tools missing one or more hints — search_models (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_model (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_model_history (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +5 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.
For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.
Tool inputs are validated
6/8 tool handlers declare input schemas (75%)
Declare an inputSchema with zod/joi/yup on every tool definition.
Tool handlers catch errors
Only 0/8 tool handlers wrap calls in try/catch (0%)
Wrap each tool handler body in try/catch and return a structured error response.
Tool test coverage
Only 1/8 tools referenced in tests (13%)
Write tests that reference each tool by name so every tool has at least one test.
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