ai-reliability-copilot

by YanpengQi7 · MCP Server · ★ 83

About ai-reliability-copilot

Turn a production incident into a structured 9-section LLM response (severity, root cause, mitigation, postmortem). Ships with a 5-scenario regression suite + LLM-as-judge eval pipeline.

ai-sdkdeepseekincident-responsellmllm-evaluationmcpnextjspgvectorpostgresprompt-engineering

Quick Facts

Stars83
Forks0
LanguageTypeScript
CategoryMCP Server
Quality Score32.75/100
Last Updated2026-10-18
Created2026-05-25
Platformsmcp, node
Est. Tokens~48k

Compatible Skills

These tools work well together with ai-reliability-copilot for enhanced workflows:

  • openagentskill — semantic(0.19)+complementary+rare_topics+same_lang+similar_pop+shared_platform (61%)
  • nitro-imessage-agent-template — semantic(0.16)+complementary+rare_topics+same_lang+similar_pop (55%)
  • github-tools — semantic(0.16)+complementary+rare_topics+same_lang+similar_pop (50%)
  • ongrid — semantic(0.27)+complementary+rare_topics+similar_pop (49%)

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Frequently Asked Questions

What is ai-reliability-copilot?

ai-reliability-copilot is Turn a production incident into a structured 9-section LLM response (severity, root cause, mitigation, postmortem). Ships with a 5-scenario regression suite + LLM-as-judge eval pipeline.. It is categorized as a MCP Server with 83 GitHub stars.

What programming language is ai-reliability-copilot written in?

ai-reliability-copilot is primarily written in TypeScript. It covers topics such as ai-sdk, deepseek, incident-response.

How do I install or use ai-reliability-copilot?

You can find installation instructions and usage details in the ai-reliability-copilot GitHub repository at github.com/YanpengQi7/ai-reliability-copilot. The project has 83 stars and 0 forks, indicating an active community.

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