MCP.Market

Agent Costcenter MCP server

by mdfifty50-boop·io.github.mdfifty50-boop/agent-costcenter·v0.1.3
No reviews yet

Multi-agent billing and cost allocation tracking

B78/100grade B
Write a reviewInstall
What users say
No reviews yet
Be the first
Safety scan
B78/100

full report

Adoption
New

0 stars50 downloads/wk

Reviews

Write one

Nobody has reviewed Agent Costcenter yet.

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

Agent Costcenter tools (9)

write = sends, deletes, buys or posts

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

  • check_budget

    Check if an agent is within its budget. Returns spend, remaining budget, and percentage used.

  • compare_models

    Compare cost efficiency across all models used. Shows cost per 1K tokens, total spend, cheapest and most expensive.

  • get_cost_anomalies

    Find agents with unusual spending patterns. Flags agents whose recent per-call average is 2x+ above their historical average.

  • get_cost_report

    Get cost breakdown by agent, team, project, or across all agents. Includes per-model breakdowns and percentages.

  • health_check

    Returns server health, uptime, version, and usage stats

  • log_llm_call

    Log an LLM API call with token counts. Auto-calculates cost from built-in pricing table, or use cost_override_usd.

  • log_tool_call

    Log a tool or API call cost for an agent, with duration and optional cost.

  • register_agent

    Register an agent with optional team, project, model, and budget cap. Must be called before logging costs.

  • set_budget_alert

    Set a spending threshold for an agent. When exceeded, either warn or block further calls.

Public scan report

scanner v0.1.9 · 2026-09-27 · same rubric, same numbers if you re-run it

no findings
  • Code scan14 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 156 days ago8/15
  • Maintainer identityregistry namespace matches repository owner6/10
Overall 78/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Agent Costcenter compares

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

Safety score
78/100
higher than 57% of 4,460 AI and agents servers
Tools
9
the typical AI and agents server has 6
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
Downloads a week
50
more than 42% of 1,538 AI and agents servers with a package

What its tools let an agent do: 7 read · 1 create · 1 change

Install Agent Costcenter in Claude Code, Cursor or VS Code

Runs npx -y agent-costcenter-mcp on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add agent-costcenter -- npx -y agent-costcenter-mcp
Add to Cursor

What the publisher says

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

agent-costcenter-mcp

MCP server for per-agent cost attribution and budget management. Answer "which agent costs the most?" across your entire AI agent fleet.

Features

  • Per-agent cost tracking — register agents, log LLM and tool calls, get per-agent spend
  • Built-in pricing table — 11 models (Claude, GPT, Gemini, DeepSeek) with fuzzy name matching
  • Budget management — set caps and alerts, check remaining budget, warn or block on overspend
  • Cost reports — breakdown by agent, team, project, or all; includes model-level detail and percentages
  • Anomaly detection — automatically flag agents with 2x+ spending spikes
  • Model comparison — compare cost-per-1K-tokens across all models used

Quick Start

npx agent-costcenter-mcp

Claude Desktop

{
  "mcpServers": {
    "agent-costcenter": {
      "command": "npx",
      "args": ["agent-costcenter-mcp"]
    }
  }
}

Tools

Resources

Built-in Pricing (per 1M tokens)

Model names are fuzzy-matched (case-insensitive, strips version suffixes).

Example Workflow

1. register_agent(agent_id="researcher", team="discovery", model="claude-sonnet-4", budget_cap_usd=10)
2. log_llm_call(agent_id="researcher", model="claude-sonnet-4", input_tokens=5000, output_tokens=2000)
3. log_tool_call(agent_id="researcher", tool_name="web_search", duration_ms=1200, cost_usd=0.01)
4. check_budget(agent_id="researcher")
5. get_cost_report(scope="all")
6. get_cost_anomalies()
7. compare_models()

Development

npm install
npm test
npm run dev  # watch mode

License

MIT

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

Agent Costcenter: common questions

Is Agent Costcenter MCP server safe?
Mostly: it is graded B (78/100). Read the Agent Costcenter safety report
How do I install Agent Costcenter?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Agent Costcenter need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Agent Costcenter maintained?
The last commit was 194 days ago (2026-04-24). The latest release is v0.1.3.
What can I use instead of Agent Costcenter?
Servers from other publishers that do the same job: PaperBanana MCP server, World Model MCP server and llmtrim MCP server.
How does Agent Costcenter compare with other AI and agents MCP servers?
safety score 78/100 (higher than 57% of 4,460 AI and agents servers); tools 9 (the typical AI and agents server has 6); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to Agent Costcenter

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

  • PaperBanana
    Generate academic diagrams and statistical plots from text using multi-agent AI.
    A
  • World Model MCP
    Persistent 3D/2D spatial world model for AI agents with dynamic velocity and entity tracking.
    A
  • llmtrim
    MCP server and proxy that compresses LLM prompts, tool output, and replies to cut token cost.
    A
  • three.ws Brain
    List LLM providers and run chat completions through the three.ws multi-provider router.
    More from nirholas →
    B
  • Claude Prompts
    Reusable prompt templates, multi-step workflow chains, and quality gates for any MCP client.
    A

More from mdfifty50-boop →