Agent Observability
NPM · AGENT-OBSERVABILITY-MCP · SCANNED SEP 22
Agent observability: structured logging, cost tracking, and compliance audit trails
Available components
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 → Why this is hard to score →
Supply Chain Security80
- No malware found by supply-chain analysis.Pass
- CVE check failed: a known high-severity CVE affects @modelcontextprotocol/sdk 0.5.0, a direct dependency. A fixed version is available. View diagnostics → Fail
- No install/post-install scripts declared.Pass
- 7 of 14 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency18
- Repository check failed: no source repository is declared. See how to fix → View diagnostics → Fail
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 266 days ago).Pass
- Security-disclosure policy not yet verified: we couldn't inspect the source repository.Unverified
Schema Quality & AI Usability69
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 304 tokens (~101/item across 3 items; 3 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management97
- Stability observed for 29 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
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 3 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 3 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities20
- Spec-recency check failed: implements MCP spec 2024-11-05; the latest is 2026-07-28. See how to fix → Fail
How do I install the Agent Observability MCP server?
Agent Observability runs locally as an npm package, launched with npx -y agent-observability-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
npm · agent-observability-mcp
claude mcp add blueskylineassets-agent-observability -- npx -y agent-observability-mcp
{
"mcpServers": {
"blueskylineassets-agent-observability": {
"command": "npx",
"args": [
"-y",
"agent-observability-mcp"
]
}
}
} {
"servers": {
"blueskylineassets-agent-observability": {
"command": "npx",
"args": [
"-y",
"agent-observability-mcp"
]
}
}
} codex mcp add blueskylineassets-agent-observability -- npx -y agent-observability-mcp
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"blueskylineassets-agent-observability": {
"type": "local",
"command": [
"npx",
"-y",
"agent-observability-mcp"
],
"enabled": true
}
}
} openclaw mcp add blueskylineassets-agent-observability --command npx --arg -y --arg agent-observability-mcp
mcp_servers:
blueskylineassets-agent-observability:
command: "npx"
args: ["-y", "agent-observability-mcp"] {
"McpServers": {
"blueskylineassets-agent-observability": {
"Transport": "stdio",
"Command": "npx",
"Arguments": [
"-y",
"agent-observability-mcp"
]
}
}
} assistant mcp add blueskylineassets-agent-observability -t stdio -c npx -a -y agent-observability-mcp
{
"mcpServers": {
"blueskylineassets-agent-observability": {
"command": "npx",
"args": [
"-y",
"agent-observability-mcp"
]
}
}
} 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.
- 21 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.
- 19 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.
- 17 Sept 26 −3
- Stability: pass → 0.80 functional
- 16 Sept 26 +1
- Stability: 0.97 → pass security
- 14 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.
- 12 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.
- 10 Sept 26 −3
- Stability: pass → 0.80 functional
- 9 Sept 26 0
- Stability: 0.97 → pass security
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 22 Sept 2026 · Analysed npm/agent-observability-mcp@1.1.0
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | npm |
Background: How many MCP packages publish verified provenance →
Vulnerabilities 1 finding
| ID | CVE | Severity | Vector | Fix available |
|---|---|---|---|---|
| GHSA-w48q-cv73-mx4w | CVE-2025-66414 | high | yes |
Background: What a vulnerability scan can and cannot prove →
Dependencies 14 packages
| Packages resolved | 14 |
|---|---|
| Stale | 7 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
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. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
get_cost_analytics ~78
Get cost breakdown by agent, provider, or time period. Useful for tracking API spending.
| Name | Type | Req | Description |
|---|---|---|---|
| from_date | string | yes | Start date (ISO 8601 format) |
| group_by | string | – | How to group cost data (default: agent_id) |
| to_date | string | yes | End date (ISO 8601 format) |
No output schema declared.
No examples provided.
log_event ~118
Log an agent event with metadata for observability and compliance tracking. Cost: ~$0.0001 per log (100K free/month).
| Name | Type | Req | Description |
|---|---|---|---|
| agent_id | string | – | Identifier for the agent generating this log |
| event_type | string | yes | Type of event: 'api_call', 'decision', 'transaction', 'error', 'state_change' |
| metadata | object | – | Structured metadata: provider, cost_usd, latency_ms, tokens_used, model, etc. |
| severity | string | – | Event severity level (default: info) |
No output schema declared.
No examples provided.
query_logs ~108
Query logged events with filters. Returns recent logs matching criteria.
| Name | Type | Req | Description |
|---|---|---|---|
| agent_id | string | – | Filter by agent ID |
| event_type | string | – | Filter by event type |
| from_date | string | – | Start date (ISO 8601 format) |
| limit | number | – | Maximum number of results (default: 10, max: 100) |
| severity | string | – | Filter by severity level |
| to_date | string | – | End date (ISO 8601 format) |
No output schema declared.
No examples provided.
What is the Agent Observability MCP server?
Agent Observability is an MCP server listed in the public MCP registry as io.github.blueskylineassets/agent-observability. Agent observability: structured logging, cost tracking, and compliance audit trails. This page covers its npm package (agent-observability-mcp).
Is the Agent Observability MCP server safe to use?
Agent Observability scores 68 out of 100 on VerifyMCP. We recorded 1 known advisory against it as of 22 September 2026. It declares no install or post-install scripts. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the Agent Observability MCP server expose?
Agent Observability exposes 3 tools: log_event, query_logs, get_cost_analytics. Their descriptions and schemas cost roughly 304 tokens of context every time the server is loaded.
Is the Agent Observability MCP server still maintained?
Agent Observability is still listed as active in the MCP registry. We last reached this channel on 22 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the Agent Observability MCP server under?
Agent Observability declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.