Agent Costcenter

io.github.mdfifty50-boop

Multi-agent billing and cost allocation tracking

Add to Cursor Add to VS Code Run on PlugMCP

1{2  "mcpServers": {3    "io.github.mdfifty50-boop-agent-costcenter": {4      "command": "npx",5      "args": [6        "-y",7        "[email protected]"8      ]9    }10  }11}

.cursor/mcp.jsonMCP server

Transport: stdio
Status: Local

Power your agent

Add this server

The publisher's own command. Not a PlugMCP endpoint.

Add to Cursor Add to VS Code Run on PlugMCP

Host a copy with our keys and logs.

Local command

npx -y [email protected]

Claude Code has no install link for a local command. Copy the command below and run it in a terminal.

shClaude Code

1claude mcp add io.github.mdfifty50-boop-agent-costcenter -- npx -y agent-costcenter-mcp@0.1.3

Run in a terminal.

jsonClaude Desktop

1{2  "mcpServers": {3    "io.github.mdfifty50-boop-agent-costcenter": {4      "command": "npx",5      "args": [6        "-y",7        "[email protected]"8      ]9    }10  }11}

claude_desktop_config.json

Local · npmPublisher installStep-by-step: add this in Claude

Remote URL or a command on your machine? How the two installs differ

Run on PlugMCP

Host a copy with our keys and logs.

A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.

Launch

Server facts

Local

Transport: stdio
Version: 0.1.3
Last checked: 2026-10-27

Stars: —
Tools: —
Uptime: —

Tools

No tool list yet. Remote servers get one after the first health check.

FAQ

Questions

How do I install Agent Costcenter?

Copy the stdio config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.

Does Agent Costcenter need an API key?

No required environment variable is listed on this record.

What transport does Agent Costcenter use?

Agent Costcenter runs locally over stdio.

When was Agent Costcenter last checked?

Last checked 2026-10-27. Multi-agent billing and cost allocation tracking

From the publisher

Documentation

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

Tool	Description
`register_agent`	Register agent with team, project, model, and budget cap
`log_llm_call`	Log an LLM call — auto-calculates cost from pricing table
`log_tool_call`	Log a tool/API call cost
`get_cost_report`	Cost breakdown by agent, team, project, or all
`set_budget_alert`	Set spending threshold (warn or block)
`check_budget`	Check if agent is within budget
`get_cost_anomalies`	Find agents with unusual spending spikes
`compare_models`	Compare cost efficiency across models

Resources

URI	Description
`costcenter://summary`	Current total spend across all agents
`costcenter://pricing`	Built-in model pricing table

Built-in Pricing (per 1M tokens)

Model	Input	Output
claude-opus-4	$15.00	$75.00
claude-sonnet-4	$3.00	$15.00
claude-haiku-4	$0.80	$4.00
gpt-4o	$2.50	$10.00
gpt-4o-mini	$0.15	$0.60
gpt-4.1	$2.00	$8.00
gpt-4.1-mini	$0.40	$1.60
gemini-2.5-pro	$1.25	$10.00
gemini-2.5-flash	$0.15	$0.60
deepseek-v3	$0.27	$1.10
deepseek-r1	$0.55	$2.19

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