Agent Costcenter

io.github.mdfifty50-boopPublished by GitHub account mdfifty50-boopv0.1.3Updated Oct 24, 2026

Multi-agent billing and cost allocation tracking

VerifiedSTDIODesktop onlyFinanceData & AnalyticsAI & ML

Overview

AI-generated overview

A local MCP server that tracks per-agent LLM and tool spending, budgets, cost reports and anomalies across an AI agent fleet.

What you can do
Register agents with team, project, model and budget cap, and log LLM or tool calls with automatic cost calculation from a built-in pricing table for 11 models with fuzzy name matching. Set budget alerts that warn or block, and check whether an agent is within budget. Produce cost reports broken down by agent, team, project or all, with model-level detail and percentages. Detect agents with 2x or larger spending spikes and compare cost per 1K tokens across models. Expose summary and pricing resources for current total spend and the pricing table.
When to use it
Useful when you run several AI agents and want to know which one costs the most, attribute spend to teams or projects, enforce budget caps, or spot unusual spending spikes. Suited to local, desktop-based cost tracking rather than production billing.
Requirements
Runs as a local process on the user's machine via npx agent-costcenter-mcp (Node.js required). Desktop only; no web executable. No authentication, environment variables or headers are declared.
Before you install
Logging calls and registering agents write cost data to the local store, and budget alerts can block on overspend. Costs are computed from a built-in pricing table, so figures may not match actual provider invoices. No credentials are requested.

Installation

In SourceWeft

  1. Open Agent Costcenter in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

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

bash
npx agent-costcenter-mcp

Claude Desktop

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

Tools

ToolDescription
register_agentRegister agent with team, project, model, and budget cap
log_llm_callLog an LLM call — auto-calculates cost from pricing table
log_tool_callLog a tool/API call cost
get_cost_reportCost breakdown by agent, team, project, or all
set_budget_alertSet spending threshold (warn or block)
check_budgetCheck if agent is within budget
get_cost_anomaliesFind agents with unusual spending spikes
compare_modelsCompare cost efficiency across models

Resources

URIDescription
costcenter://summaryCurrent total spend across all agents
costcenter://pricingBuilt-in model pricing table

Built-in Pricing (per 1M tokens)

ModelInputOutput
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

bash
npm installnpm testnpm run dev  # watch mode

License

MIT

Source: README.md at commit 33b0cfe

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v0.1.3LatestSep 16, 2026

Score

40% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

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  • Auth declared10 pts

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  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts

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