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argosvix/mcp-server

by Various

Observability MCP server for AI agents - 89 tools to query LLM cost/errors/latency across 7 providers and operate alerts, budgets, evals from Claude/Cursor

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MCP

argosvix/mcp-server

Added 3 Sept 2026

#ai-agents#llm#mcp#model-context-protocol#observability
Catalogue record, not a reviewed recommendation. This record can include automatically collected descriptions and setup details. Confirm important claims with the original source. Explore source-reviewed tools.

Overview

An MCP server that gives AI agents 89 tools for LLM observability. It queries cost, error, and latency data across 7 providers and can operate alerts, budgets, and evals from Claude or Cursor. Written in TypeScript.

Best for

Best for
Developers building AI agents who need cross-provider LLM cost and performance visibility.

Use cases

  • Monitor LLM API costs and latency across providers
  • Query error rates from Claude or Cursor
  • Manage alerts, budgets, and evals through MCP tools

How to use

Install

npm install -g @argosvix/mcp-server

Tools exposed

  • query_calls
  • get_cost_summary
  • list_alerts
  • get_alert
  • list_alert_events
  • silence_alert
  • unsilence_alert
  • create_alert
  • acknowledge_alert
  • cost_review
  • alert_audit
  • incident_triage

Clients listed in this record (not verified here)

Claude Desktop, Claude Code, Cursor, VS Code, ChatGPT

Notes

0 stars on GitHub. Last updated 2026-08-30. Licensed MIT.

Pros

  • Large toolset with 89 observability functions
  • Covers 7 LLM providers in one server
  • Integrates directly with Claude and Cursor

Cons

  • No GitHub stars yet, so adoption is unproven
  • Focused only on observability, not broader agent tasks
  • Requires an MCP-compatible client to use

Pairs with

Other entries in the index that connect to this one. Click through to see the chain.

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