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Agentic Observability MCP

NPM · AGENTIC-OBSERVABILITY-MCP · SCANNED AUG 3

Agent tracing, cost tracking, anomaly detection for LLM agents

+18 this week 62 Trust /100
Trust breakdown (6 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score →

Supply Chain Security87
  • No malware found by supply-chain analysis.Pass
  • Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree.Partial
  • No install/post-install scripts declared.Pass
  • Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree. View diagnostics → Partial
Provenance & Transparency45
Schema Quality & AI Usability44
  • 0% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Fail
  • AI-judged instruction clarity (good).Pass
  • Tool/resource definitions use about 589 tokens (~73/item across 8 items; 6 tools + 2 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management23
  • Stability observed for 7 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 100% of tool parameters carry a description.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Install

Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.

npm · agentic-observability-mcp

# add to Claude Code
claude mcp add mdfifty50-boop-agentic-observability -- npx -y agentic-observability-mcp
# add to Codex CLI
codex mcp add mdfifty50-boop-agentic-observability -- npx -y agentic-observability-mcp
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "mdfifty50-boop-agentic-observability": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "agentic-observability-mcp"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add mdfifty50-boop-agentic-observability --command npx --arg -y --arg agentic-observability-mcp
# ~/.hermes/config.yaml
mcp_servers:
  mdfifty50-boop-agentic-observability:
    command: "npx"
    args: ["-y", "agentic-observability-mcp"]
// mcp.json
{
  "mcpServers": {
    "mdfifty50-boop-agentic-observability": {
      "command": "npx",
      "args": [
        "-y",
        "agentic-observability-mcp"
      ]
    }
  }
}
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 3 Aug 26 +3
    • Stability: unverified → 0.23 functional
  • 2 Aug 26 +40
    • Provenance: unverified → fail security
    • Install scripts: unverified → pass security
    • Known CVEs: unverified → partial security
    • Malware scan: unverified → pass security
    • Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window). security
    • Tool coverage: 100 → unverified functional
    • Schema quality: 0 → unverified functional
    • License: unverified → pass functional
    • Dependency health: unverified → partial functional
    • Maintenance: unverified → pass functional
    • MCP protocol: unverified → pass functional
    • Schema quality: unverified → good functional
    • Licence: MIT functional
  • 31 Jul 26 +13
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 30 Jul 26 −38
    • Malware scan: pass → unverified security
    • Schema quality: 0 → unverified functional
    • Tool coverage: 100 → unverified functional
  • 27 Jul 26 44

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 3 Aug 2026 · Analysed npm/[email protected]

Provenance none

Ecosystem: npm · Outcome: none

Dependencies 95 packages

95 packages in the resolved dependency tree · 95 deprecated · 29 stale.

The dependency tree was only partially resolved, so these counts may be incomplete.

MCP tools — 6 exposed · ~575 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.

Tool Tokens
detect_anomaly ~61

Flag unusual patterns in agent behavior: cost spikes, high error rates, latency issues, infinite loops, and token explosions.

NameTypeReqDescription
check_typesarrayyesTypes of anomaly checks to run
session_idstringyesSession ID to check for anomalies

No output schema declared.

No examples provided.

get_cost_report ~75

Get cost breakdown across multiple sessions, grouped by model, provider, tool, or session. Supports time range filtering.

NameTypeReqDescription
group_bystringyesHow to group the cost breakdown
session_idsarraySpecific session IDs to include (defaults to all)
time_rangeobjectFilter by time range

No output schema declared.

No examples provided.

get_session_summary ~47

Get a comprehensive cost and performance summary for an agent session, including token usage, tool call stats, and model breakdown.

NameTypeReqDescription
session_idstringyesSession ID to get summary for

No output schema declared.

No examples provided.

log_tool_call ~125

Log an MCP tool call with performance data including latency, success/failure, and error details.

NameTypeReqDescription
errorstringError message if call failed
latency_msintegeryesCall latency in milliseconds
paramsobjectyesParameters passed to the tool
result_summarystringBrief summary of the result
server_namestringyesName of the MCP server
session_idstringyesUnique session identifier
successbooleanyesWhether the call succeeded
tool_namestringyesName of the tool called

No output schema declared.

No examples provided.

trace_agent_action ~115

Log an agent action with metadata for audit trails and debugging. Supports tool calls, LLM requests, decisions, and errors.

NameTypeReqDescription
action_typestringyesType of action being traced
descriptionstringyesHuman-readable description of the action
metadataobjectAdditional key-value metadata
session_idstringyesUnique session identifier
timestampstringISO 8601 timestamp (defaults to now)
tool_namestringName of the tool (for tool_call actions)

No output schema declared.

No examples provided.

track_token_usage ~152

Track token usage and cost for an LLM call. Auto-calculates cost from built-in pricing table if per-token costs are not provided.

NameTypeReqDescription
cost_per_input_tokennumberCost per input token (overrides built-in pricing)
cost_per_output_tokennumberCost per output token (overrides built-in pricing)
input_tokensintegeryesNumber of input/prompt tokens
modelstringyesModel name (e.g., claude-sonnet-4, gpt-4o)
output_tokensintegeryesNumber of output/completion tokens
providerstringyesLLM provider
session_idstringyesUnique session identifier

No output schema declared.

No examples provided.