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agent-costcenter-mcp

v0.1.3

Published

MCP server for per-agent cost attribution, budget management, and spend analytics across AI agent fleets

Downloads

374

Readme

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