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Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 1:01:46 PM

MCP Server

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llm-observabilitycost-monitoringalertsanomaly-detectionanalytics

Argosvix MCP server lets an agent query and act on your LLM observability data โ€” costs, alerts, expensive calls, anomalies โ€” directly from a conversation, across 89 tools.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

This server is confirmed live โ€” we successfully called its tools/list endpoint directly (see the verified badge above). We haven't yet sandbox-tested the stdio install command below specifically, which is a separate, ongoing check.

Manual Client & Custom JSON ConfigExpand JSON โ–พ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "argosvix-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "@argosvix/mcp-server"
      ]
    }
  }
}

๐Ÿ’ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (89) Directory Badge Claim listing Alternatives๐Ÿ“Š More in Monitoring

Overview

If you're already sending LLM calls through the Argosvix SDK, this MCP server lets Claude, Cursor, or Codex CLI query that observability data directly โ€” cost breakdowns, firing alerts, the most expensive recent calls โ€” without switching to a dashboard. Beyond observation, health/anomaly tools (get_account_health, detect_anomaly, propose_alert_rules, classify_calls_batch, propose_eval_criteria) and a runtime control plane (budget gates, policy gates, human-approval gates) let the agent act on what it finds. It supports both stdio and HTTP transport and starts keyless โ€” set ARGOSVIX_API_KEY afterwards to unlock the full tool set.

Use cases

โ€ขAsk what your OpenAI cost was over the past 24 hours
โ€ขCheck which cost or usage alerts are currently firing
โ€ขList the most expensive LLM calls made today
โ€ขPropose alert rules or eval criteria based on recent call patterns

Key features

โ€ข89 tools covering LLM cost, usage, alerts, and call-level observability
โ€ขAnomaly detection and account-health tools
โ€ขRuntime control plane: budget gates, policy gates, human-approval gates
โ€ขStarts keyless for read-limited access; full tools unlock with an API key
โ€ขstdio and HTTP (remote/self-host) transports

Capabilities & Tool Schemas (89) ~22.9k tokensApproximate context cost of this serverโ€™s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Verified live Verified liveCaptured by calling this serverโ€™s live tools/list endpoint.

Inspect callable tools, capabilities, and parameters exposed to AI agents by MCP Server.

query_calls

Retrieve recent LLM call records captured by Argosvix. Filterable by provider / model / time range / tag (tagKey + tagValue pair). Defaults to the last 24 hours, 100 records.

get_cost_summary

Return cost / call count / token aggregates per time range, with a per-provider breakdown. When groupBy="none" is specified, a per-provider breakdown is still returned for backend compatibility (check the response.total field for the overall sum).

list_alerts

Return the list of configured alerts plus trigger history within the last 24 hours.

list_proposals

Return the unresolved improvement proposals found by the Argosvix guardian (quality drift / reliability anomalies / cost switching / safety / silencing noisy alerts). Approving, dismissing, and executing happen in the dashboard inbox (agents can only read and converse).

get_proposal_thread

Return the thread for a proposal (the questions asked so far and the AI's replies). Get proposalId from list_proposals.

reply_proposal

Post a question about a proposal and get the AI's reply (same as the inbox conversation). Explanation only โ€” nothing is executed. Get proposalId from list_proposals.

Documentation Overview

@argosvix/mcp-server

Argosvix MCP server lets AI agents (Claude Desktop, Cursor, Codex CLI, custom MCP clients) query, manage, and operate their LLM observability data directly from the conversation. Supports both stdio (subprocess) and HTTP (remote / self-host) transports.

Surface: 89 tools (86 generally available + 3 internal operations tools that return 403 for customer accounts) / 3 resources / 8 resource templates / 3 prompts. Health and anomaly endpoints (get_account_health / detect_anomaly / propose_alert_rules / classify_calls_batch / propose_eval_criteria) plus a runtime control plane (budget gates / policy gates / human-approval gates) let an agent both observe and act. Release history is available on npm.

npm version License: MIT

Why

You're already sending LLM calls through @argosvix/sdk or the Python SDK. Now ask Claude / Cursor questions like:

  • "What was my OpenAI cost over the past 24h?"
  • "Which alerts are firing right now?"
  • "Show me the 20 most expensive calls today."

No dashboard tab-switching. The agent fetches the data via this MCP server using your Argosvix API key.

Install

One-click (starts keyless; set ARGOSVIX_API_KEY afterwards to use the tools for your own account):

Add to Cursor Install in VS Code

Claude Code users can install the argosvix plugin instead โ€” it bundles this server plus setup skills:

Code
/plugin marketplace add argosvix/claude-plugin
/plugin install argosvix@argosvix
/reload-plugins

Manual:

Terminal
npm install -g @argosvix/mcp-server

Configure (Claude Desktop)

Edit your Claude Desktop config:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
config.json
{
  "mcpServers": {
    "argosvix": {
      "command": "argosvix-mcp",
      "env": {
        "ARGOSVIX_API_KEY": "argk_..."
      }
    }
  }
}

Restart Claude Desktop. All 89 tools appear under the argosvix__ prefix (e.g. argosvix__query_calls, argosvix__get_account_health, argosvix__create_budget_gate).

No API key yet? The server also starts without ARGOSVIX_API_KEY in introspection-only mode: all 89 tools are listed so you can evaluate the surface, and two public data tools (get_synth_daily / get_daily_readthrough โ€” Argosvix's own daily AI digest and OSS readthrough) work with no key at all. Every other tool call returns instructions for getting a key at https://dashboard.argosvix.com/api-keys.

Notes on the public data tools: they are part of the default full profile only (not in ARGOSVIX_MCP_PROFILE=core), and like every other tool they honor ARGOSVIX_API_BASE โ€” if you point the server at a different base, they fetch /v1/synth-daily / /v1/readthrough from that base without authentication.

Configure (Cursor)

Edit ~/.cursor/mcp.json:

config.json
{
  "mcpServers": {
    "argosvix": {
      "command": "argosvix-mcp",
      "env": {
        "ARGOSVIX_API_KEY": "argk_..."
      }
    }
  }
}

Tool profile (ARGOSVIX_MCP_PROFILE)

The default profile is full (all 89 tools). If your MCP client's context budget is tight, set ARGOSVIX_MCP_PROFILE=core to expose only the 11 essentials for day-to-day operations:

query_calls ยท aggregate_calls ยท get_cost_summary ยท get_percentiles ยท get_account_health ยท detect_anomaly ยท list_alerts ยท create_alert ยท silence_alert ยท unsilence_alert ยท get_deployed_prompt

config.json
{
  "mcpServers": {
    "argosvix": {
      "command": "argosvix-mcp",
      "env": {
        "ARGOSVIX_API_KEY": "argk_...",
        "ARGOSVIX_MCP_PROFILE": "core"
      }
    }
  }
}

Works in both stdio and HTTP transports. Unknown values fall back to full with a warning on stderr.

Description language (ARGOSVIX_MCP_LANG)

Tool, resource, and prompt descriptions returned by tools/list / resources/list / prompts/list are in English by default. Set ARGOSVIX_MCP_LANG=ja to get the original Japanese descriptions instead. Unset or unknown values fall back to en (with a warning on stderr for unknown values). Tool names, input schemas, and behavior are identical in both languages โ€” only the human/agent-facing description text changes.

config.json
{
  "mcpServers": {
    "argosvix": {
      "command": "argosvix-mcp",
      "env": {
        "ARGOSVIX_API_KEY": "argk_...",
        "ARGOSVIX_MCP_LANG": "ja"
      }
    }
  }
}

Works in both stdio and HTTP transports.

Tools (highlights)

89 tools in total โ€” the full list is returned by tools/list. A sample of the core read / write surface:

ToolPurposeType
query_callsRecent LLM call records, filterable by provider / model / time rangeread
get_cost_summaryAggregate cost / calls / tokens by provider or modelread
list_alertsConfigured alerts + recent trigger statusread
get_alertDetail of a specific alert + recent trigger historyread
list_alert_eventsAlert trigger events across the account (notification history)read
silence_alertMute a specific alert (= temporary notification stop, default 24h)write
unsilence_alertResume notifications for a previously muted alertwrite
create_alertCreate a new alert rule (cost / error rate / latency / anomaly)write
acknowledge_alertMark a specific alert event as acknowledged (idempotent, orthogonal to silence)write

Resources

Resources expose read-only snapshots that AI agents can pull into context without an explicit tool call.

URIPurpose
argosvix://accountPlan / quota / current-month record usage / retention snapshot (non-sensitive, Bearer-only)
argosvix://alerts/activeSnapshot of currently enabled alerts
argosvix://cost/todayLast-24h cost breakdown by provider (with response.total)

Resource templates

Resource templates let agents construct dynamic URIs from a known id. The server enforces account scope via PK lookup on the backend, so cross-account ids return 404.

URI templatePurpose
argosvix://calls/{id}Single LLM call record (provider / model / tokens / cost / latency / tags / error / trace_id). Plug in any id from query_calls results.
argosvix://alerts/{id}Single alert rule (name / type / threshold / window / channelKinds / sleep / enabled / silencedUntil) + recent 20 trigger events. Plug in any id from list_alerts results. channelTargets (notification destinations) is structurally dropped.
argosvix://traces/{id}Single trace = all spans grouped by trace_id (LLM call time-series). Top 50 spans only (LLM context budget cap); errorDetails / requestMeta are structurally dropped. Plug in any traceId from query_calls results.

Prompts

Prompts are reusable templates the user can launch as slash commands.

NamePurpose
cost_reviewCompare 24h / 7d / 30d cost trends and flag anomalies
alert_auditAudit current alert rules and propose improvements
incident_triageInvestigate recent error / latency anomalies (default last 24h)

Subscriptions (= v0.10, stdio only)

resources.subscribe capability is declared in stdio mode. Clients can subscribe to one or more of the static resources below; the server polls each subscribed resource every 60 seconds and emits notifications/resources/updated when the content hash changes.

Subscribable URIs (resource templates such as argosvix://calls/{id} are not subscribable):

  • argosvix://account
  • argosvix://alerts/active
  • argosvix://cost/today

HTTP transport (= argosvix-mcp --http) does not declare subscribe and rejects subscribe requests, since per-request stateless mode cannot keep a subscription set or deliver server-initiated notifications. Use stdio for live updates.

listChanged is intentionally not declared: the resource list is fixed for the server lifetime.

Implementation notes (v0.10):

  • Single-flight guard: a slow polling cycle does not start a concurrent next cycle (= no overlapping readResource calls).
  • Unsubscribe / shutdown race: per-URI re-check before fetch and before notify, plus an isShuttingDown flag, so notifications are not emitted for URIs removed mid-cycle.
  • Failure handling: fetch and notify failures are silent (next cycle retries). With ARGOSVIX_MCP_DEBUG=1 the server logs { uri, errorClass } to stderr โ€” error messages are intentionally not logged to avoid leaking upstream payload text.
  • Tests: 150 unit tests (incl. overlap single-flight + unsubscribe / shutdown race + invalid URI โ†’ McpError(InvalidParams) + axis 4 Tier 1 dispatcher coverage).

Privacy

The MCP server sends queries to https://ingest.argosvix.com using your API key. No prompts or completions are exposed โ€” only metadata (tokens, cost, latency, model name, your tags).

Development

Terminal
npm install
npm run build
npm test

License

MIT ยฉ Yuto Makihara (Argosvix). See LICENSE.

HTTP transport

Read the full README โ†’View source on GitHub โ†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks โ€” not a rating.

npm downloads
1.1k
Package downloads in the last 30 days.
Last commit
9d ago
Most recent push to the default branch.
Tools exposed
89
Callable tools this server registers over MCP.
Directory activity
2 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about MCP Server

No โ€” it starts keyless with limited access; set ARGOSVIX_API_KEY afterwards to unlock all tools.

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Technical Specs & Signals

Category๐Ÿ“ŠMonitoring
PricingBring your own API key (usage-based cost)
More technical detailsExpand โ–พ
TransportSTDIO
RuntimeNode.js
AuthAPI key
LicenseMIT
ClientsClaude Desktop, Cursor
Last updatedSep 3, 2026
10/10 checks healthy over the last 32d
Views2
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars0
GitHub Star CountTotal stargazers on GitHub representing community popularity (0 stars).
Last commit9d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Sep 3, 2026
npm downloads1,147/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
63Quality signal: Good ยท 63/100How this signal is calculated โ–พ
Server availabilityNot measured

Not scored for repo-hosted servers โ€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools30/30
Adoption & activity7/15
Community engagement0/10

A guidance signal from public completeness & health data โ€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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Scanned 24d ago via OSV.dev ยท @argosvix/mcp-server (npm)

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