dominion-observatory-langchain — one-line trust telemetry for LangChain agents
Dev.to AI
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AI Tools
Most MCP trust scoring today is static: did the repo publish a schema, is there a README, does the org look reputable. That catches zero runtime failures - a server can be perfectly documented and still time out 40% of calls, return bad data, or go offline mid-month. If you're building a LangChain agent that calls MCP servers, you currently have two options: Trust every server blindly and hope for the best. Build your own per-server health-check layer (latency tracking, error rates, fallback logic) and maintain it forever. Neither option scales across a cross-ecosystem tool chain.