io.github.mdfifty50-boop/agentic-observability

MCPcommunity
v0.1.1io.github.mdfifty50-boopUnknownUpdated 2mo agonpmGitHub

Agent tracing, cost tracking, anomaly detection for LLM agents

AI agent observability for MCP. Tracing, cost tracking, performance monitoring, anomaly detection, and audit trails — all via Model Context Protocol. AI agents burn tokens, call tools, make decisions, and sometimes get stuck in loops. You need to know what they're doing, what it costs, and when something goes wrong. No existing MCP server provides unified agent observability. This one does. Track…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
2mo agoLast update
Package
Authorio.github.mdfifty50-boop
LicenseUnknown
Version0.1.1
Sourcemcp-registry
Trust Status
B
60/100Good
Listed in Forge index+10/10
Publisher identity verified+0/25
Publisher: run `forge publish` from the package repo to claim ownership
Ed25519 publish signature+0/10
Included automatically when the publisher runs `forge publish`
Domain verification+0/5
Publisher: host /.well-known/forge.json on the package homepage with { "publisher": "<github-login>" }
CVE scan · clean+30/30
Static analysis · clean+20/20
npm provenance (Sigstore)+0/5
Publish from GitHub Actions with the --provenance flag
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain
Provenance
Dependencies60 resolved+ · none vulnerable
Tool surface7 tools · none privileged
Security scan✓ Cleanv0.1.4 · 20d ago
EvalsNone
IndexedJun 13, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts — it cannot prove the absence of malicious code.

About

AI agent observability for MCP. Tracing, cost tracking, performance monitoring, anomaly detection, and audit trails — all via Model Context Protocol. AI agents burn tokens, call tools, make decisions, and sometimes get stuck in loops. You need to know what they're doing, what it costs, and when something goes wrong. No existing MCP server provides unified agent observability. This one does. Track every LLM call, every tool invocation, every decision — with automatic cost calculation and anomaly…

Keywords
mcp