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Trust Engine AI: model retirements and agent cost

dinevdecor/trust-engine-mcp

Model retirement dates with sources, public cost-vs-quality benchmark, local usage-cost check. Free.

tools: 8
transport: STDIO
env var: 1
last updated: Nov 12, 2026

Tools

8 tools

Public tool metadata for what this MCP can expose to an agent.

check_my_modelsFor each model your agent uses: retirement date per platform, days left, the vendor's replacement, the source, and the next step ("re-test before ...")

For each model your agent uses: retirement date per platform, days left, the vendor's replacement, the source, and the next step ("re-test before ...")

No parameter schema in public metadata yet.

model_retirementsUpcoming retirements and deprecations, filtered, with sources

Upcoming retirements and deprecations, filtered, with sources

No parameter schema in public metadata yet.

analyze_usageSpend by model, top-model share, models on the retirement calendar, cost drivers, next steps. Runs offline; nothing is uploaded

Spend by model, top-model share, models on the retirement calendar, cost drivers, next steps. Runs offline; nothing is uploaded

No parameter schema in public metadata yet.

benchmark_resultsPublic Aider benchmark for Claude Opus, Sonnet and Haiku 5.5: tasks solved, cost per solved task, failed tasks, method and raw data

Public Aider benchmark for Claude Opus, Sonnet and Haiku 5.5: tasks solved, cost per solved task, failed tasks, method and raw data

No parameter schema in public metadata yet.

estimate_switch_savingsMeasured cost ratio and the arithmetic, for measured pairs only

Measured cost ratio and the arithmetic, for measured pairs only

No parameter schema in public metadata yet.

prepare_pilot_tasksThe pilot task format (CSV template), how to pick 20-30 tasks, how to mask personal data, and an offline check of a draft

The pilot task format (CSV template), how to pick 20-30 tasks, how to mask personal data, and an offline check of a draft

No parameter schema in public metadata yet.

request_pilotA draft e-mail and mailto: link to hello@agenttrustapi.com for a person to send

A draft e-mail and mailto: link to hello@agenttrustapi.com for a person to send

No parameter schema in public metadata yet.

pricingPublished prices (US$, valid from 12 Nov 2026), incl. the fixed-price 7-day test ($1,390), 24/7 watch and Bulgarian review

Published prices (US$, valid from 12 Nov 2026), incl. the fixed-price 7-day test ($1,390), 24/7 watch and Bulgarian review

No parameter schema in public metadata yet.

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Configuration

TRUST_ENGINE_OFFLINEdefault: 0

Set to 1 to never fetch and use only the bundled data snapshot.

Readme

trust-engine-mcp

Free MCP server from Trust Engine AI. It answers questions agents otherwise search the web for:

Which AI models does this code use, and are any being retired? scan_for_models finds the model ids in the working directory (read-only, on your machine) and checks them against the calendar. The same scan runs as a command (trust-engine-mcp check) and as a GitHub Action, without an agent.
Is a model we use being retired, and when? Verified dates for Anthropic, OpenAI, Google Gemini API and Vertex AI, AWS Bedrock and Mistral. Each date has its official source URL and the date it was checked.
Why do our agents cost so much? It reads an OpenAI or Anthropic usage/cost export locally and shows spend by model, cost drivers and the fixes you can make yourself.
Is a cheaper model good enough? You get our public benchmark numbers, a savings estimate for the model pairs we measured, and a ready request for a free pilot on your own tasks.

View the full README on GitHub

Details

Repository: github.com/dinevdecor/trust-engine-mcp
Website: agenttrustapi.com
Package: trust-engine-mcp
Transport: STDIO
Registry: MCP registry, active