Agent Costcenter

Multi-agent billing and cost allocation tracking

Quick Install

Automated & IDE Setup

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

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Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

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

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

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

Terminal

npx agent-costcenter-mcp

Claude Desktop

config.json

{
  "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

Code

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

Terminal

npm install
npm test
npm run dev  # watch mode

License

MIT

Read the full README →View source on GitHub →

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Frequently Asked Questions about Agent Costcenter

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "agent-costcenter": { "command": "npx", "args": ["-y", "agent-costcenter"] } }

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Technical Specs & Signals

CategoryDeveloper Tools

33Quality signal: Emerging · 33/100How this signal is calculated ▾

Server availabilityNot measured

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

Verified ownership10/20

Documentation & tools14/30

Adoption & activity1/15

Community engagement0/10

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Documentation Overview

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

Terminal

npx agent-costcenter-mcp

Claude Desktop

config.json

{
  "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

Code

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

Terminal

npm install
npm test
npm run dev  # watch mode

License

MIT