MCP.Market

Metrxbots MCP server

by metrxbots·io.github.metrxbots/mcp-server·v0.2.2·2 stars
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Track AI agent costs, detect waste, optimize models, and prove ROI. 23 MCP tools across 10 domains.

C55/100grade C
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Safety scan
C55/100

full report

Adoption
New

2 stars69 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

Metrxbots tools (23, 4 write)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • acknowledge_alert

    Mark one or more alerts as read/acknowledged.

  • apply_optimization

    Apply a one-click optimization recommendation to an agent.

  • attribute_task

    Link an agent task/event to a business outcome for ROI tracking.

  • compare_models

    Compare LLM model pricing and capabilities across providers.

  • configure_alert_threshold

    Set up cost or operational alert thresholds for a specific agent or org-wide.

  • create_model_experimentwrite action

    Start an A/B test comparing two LLM models for a specific agent.

  • generate_roi_audit

    Generate a comprehensive ROI audit report for your AI agent fleet.

  • get_agent_detail

    Get detailed information about a specific agent including its model,

  • get_alerts

    Get active alerts and notifications for your agent fleet.

  • get_attribution_report

    Get attribution report showing which agent actions led to business outcomes.

  • get_budget_status

    Get the current status of all budget configurations.

  • get_cost_summary

    Get a comprehensive cost summary for your AI agent fleet.

  • get_experiment_results

    Get the current results of a model routing experiment.

  • get_failure_predictions

    Get predictive failure analysis for your agents.

  • get_optimization_recommendations

    Get AI-powered cost optimization recommendations for a specific agent or your entire fleet.

  • get_task_roi

    Calculate return on investment for an agent. Shows total costs (LLM API calls),

  • get_upgrade_justification

    Generate an ROI report explaining why an upgrade from Starter to Lite/Pro tier makes sense.

  • list_agents

    List all AI agents in your organization with their status, category, and cost.

  • route_model

    Get a model routing recommendation for a specific task based on complexity.

  • run_cost_leak_scanwrite action

    Run a comprehensive cost leak audit across your entire agent fleet.

  • set_budgetwrite action

    Create or update a budget configuration for an agent or the entire organization.

  • stop_experiment

    Stop a running model routing experiment. The experiment results are preserved.

  • update_budget_modewrite action

    Change the enforcement mode of an existing budget or pause/resume it.

Public scan report

scanner v0.1.10 · 2026-09-27 · same rubric, same numbers if you re-run it

2 medium
  • Code scan44 source files scanned15/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitystatic API keys via environment variables6/15
  • Maintenancelast push 122 days ago8/15
  • Maintainer identityregistry namespace matches repository owner7/10

Findings (2)

  • mediumnpm install lifecycle script presentinstall.script
  • mediumnpm install lifecycle script presentinstall.script
    package.json: … "prepublishOnly": "npm run build", "postinstall": "node scripts/postinstall.cjs" }, "…
Overall 55/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Metrxbots compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
55/100
higher than 12% of 4,460 AI and agents servers
Tools
23
the typical AI and agents server has 6
Tools that change things
17%
typical: 0%. Fewer write tools means less an agent can break
GitHub stars
2
more than 65% of 2,711 AI and agents servers
Downloads a week
69
more than 54% of 1,538 AI and agents servers with a package

What its tools let an agent do: 16 read · 2 create · 2 change · 3 run or deploy

Install Metrxbots in Claude Code, Cursor or VS Code

Runs npx -y @metrxbot/mcp-server on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add mcp-server -- npx -y @metrxbot/mcp-server
Add to Cursor

What the publisher says

From the Metrxbots repository's README, as published. We do not edit it. Read it on GitHub

Metrx MCP Server

<!-- mcp-name: io.github.metrxbots/mcp-server -->

Your AI agents are wasting money. Metrx finds out how much, and fixes it.

The official MCP server for Metrx — the AI Agent Cost Intelligence Platform. Give any MCP-compatible agent (Claude, GPT, Gemini, Cursor, Windsurf) the ability to track its own costs, detect waste, optimize model selection, and prove ROI.

Why Metrx?

Quick Start

Try it now — no signup required

npx @metrxbot/mcp-server --demo

This starts the server with sample data so you can explore all 23 tools instantly.

Connect your real data

Option A — Interactive login (recommended):

npx @metrxbot/mcp-server --auth

Opens your browser to get an API key, validates it, and saves it to ~/.metrxrc so you never need to set env vars.

Option B — Environment variable:

METRX_API_KEY=sk_live_your_key_here npx @metrxbot/mcp-server --test

Get your free API key at app.metrxbot.com/sign-up.

Add to your MCP client (Claude Desktop, Cursor, Windsurf)

If you used --auth, no env block is needed — the key is read from ~/.metrxrc automatically:

{
  "mcpServers": {
    "metrx": {
      "command": "npx",
      "args": ["@metrxbot/mcp-server"]
    }
  }
}

Or pass the key explicitly via environment:

{
  "mcpServers": {
    "metrx": {
      "command": "npx",
      "args": ["@metrxbot/mcp-server"],
      "env": {
        "METRX_API_KEY": "sk_live_your_key_here"
      }
    }
  }
}

Remote HTTP endpoint

For remote agents (no local install needed):

POST https://metrxbot.com/api/mcp
Authorization: Bearer sk_live_your_key_here
Content-Type: application/json

From npm

npm install @metrxbot/mcp-server

23 Tools Across 10 Domains

Dashboard (3 tools)

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Metrxbots: common questions

Is Metrxbots MCP server safe?
With care: it is graded C, so read the findings first (55/100). Read the Metrxbots safety report
How do I install Metrxbots?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Metrxbots need an API key?
Yes. The registry entry asks for METRX_API_KEY.
Is Metrxbots maintained?
The last commit was 159 days ago (2026-05-29). The latest release is v0.2.2.
What can I use instead of Metrxbots?
Servers from other publishers that do the same job: Skillsmith MCP server, LLM Sandbox MCP server and Emilia Protocol MCP server.
How does Metrxbots compare with other AI and agents MCP servers?
safety score 55/100 (higher than 12% of 4,460 AI and agents servers); tools 23 (the typical AI and agents server has 6); tools that change things 17% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to Metrxbots

Same job from other publishers: the closest match first, then the best rated.

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  • LLM Sandbox
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