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mcp-cost-tracker-router

mcp-cost-tracker-router

Local
github.com/dbsectrainerAI & Agents0Updated 5w ago

About mcp-cost-tracker-router

An MCP server for tracking estimated costs across agent workflows, with offline token counting, budgets, routing suggestions, and local history for developers managing model spend.

Key features

  1. 01Offline token counting
  2. 02Per-tool and per-model cost breakdowns
  3. 03Budget alerts and enforcement
  4. 04Model routing suggestions
  5. 05Spend history and HTML reports
  6. 06Project allocation and audit logs

Use cases

  1. 01Review session costs by tool
  2. 02Warn or block calls at budget limits
  3. 03Find lower-cost models for tasks
  4. 04Allocate spend and export chargeback reports

MCP support

Exposes MCP tools for recording and querying token usage, setting budgets, recommending model routes, reviewing history, and exporting reports. It can run over stdio or Streamable HTTP.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"dbsectrainer-mcp-cost-tracker-router": {
"command": "npx",
"args": [
"-y",
"mcp-cost-tracker-router"
],
"env": {
"YOUR_API_KEY": "<YOUR_API_KEY>"
}
}
}
}
Run commandnpx -y mcp-cost-tracker-router
Environment variables to set
YOUR_API_KEYSecretYour API key for the service

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npmmcp-cost-tracker-router1.0.0

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

MCP Cost Tracker & Router

npm mcp-cost-tracker-router package

Local-first cost awareness for MCP agent workflows. Token counts are calculated offline using js-tiktoken — no proxy, no API round-trip, no spend data leaving your machine. When costs climb, routing suggestions point you to cheaper models before the invoice arrives.

Tool reference | Configuration | Contributing | Troubleshooting

Key features

  • Per-tool cost breakdown: See exactly which tool calls are consuming the most tokens and budget.
  • Budget alerts: Set a session spend threshold and get warned at 80% and 100% before you exceed it.
  • Offline token counting: Uses js-tiktoken for accurate counts — no API calls required.
  • Model routing suggestions: Recommends cheaper models for the current task type (advisory, never enforced without opt-in).
  • Multi-provider pricing: Tracks costs across Claude, OpenAI, and Gemini models from a single configurable pricing table.
  • Spend history: Query daily, weekly, and monthly totals by model or tool.
  • Project cost allocation: Tag sessions to named projects and generate chargeback reports.
  • HTML spend reports: Export a single-file, self-contained HTML report with charts and budget status.
  • Audit log: Append-only log of every budget enforcement decision.

Why this over proxy-based cost trackers?

Most cost-tracking tools work by routing all your API traffic through their server and measuring tokens server-side. That means your prompts and responses transit a third-party service, and you're dependent on their uptime.

mcp-cost-tracker-routerProxy-based trackers (Helicone, LLMonitor, etc.)
Token countingOffline via js-tiktoken — no network callCounted server-side after traffic is proxied
Data residencyLocal SQLite onlyPrompts + responses pass through vendor servers
Model routingBuilt-in suggest_model_routing toolRarely included; usually a separate paid tier
Multi-providerClaude, OpenAI, Gemini in one pricing tableOften single-provider or requires separate setup
Uptime dependencyNone — fully offlineBreaks if proxy is down

If your prompts contain sensitive information or you can't route traffic through a third party, this is the right tool. If you need a managed dashboard with team sharing, a proxy-based service may suit you better.

Disclaimers

mcp-cost-tracker-router stores tool call metadata (token counts, model names, timestamps) locally in SQLite. It does not store prompt or response content. Cost calculations are estimates based on a local pricing table and may not exactly match your provider's invoice.

Requirements

  • Node.js v20.19 or newer.
  • npm.

Getting started

Add the following config to your MCP client:

{
  "mcpServers": {
    "cost-tracker": {
      "command": "npx",
      "args": ["-y", "mcp-cost-tracker-router@latest"]
    }
  }
}

To set a session budget alert:

{
  "mcpServers": {
    "cost-tracker": {
      "command": "npx",
      "args": ["-y", "mcp-cost-tracker-router@latest", "--budget-alert=5.00"]
    }
  }
}
MCP Client configuration

Amp · Claude Code · Cline · Cursor · VS Code · Windsurf · Zed

Your first prompt

Enter the following in your MCP client to verify everything is working:

How much has this session cost so far?

Your client should return a token and USD cost summary for the current session.

Tools

Session (4 tools)
  • get_session_cost — Returns token totals and USD cost estimates for the current session. Read-only.
  • get_tool_costs — Returns per-tool cost breakdown for the session, sorted by cost descending. Read-only.
  • reset_session — Start a new cost-tracking session. Previous session data is retained in history.
  • record_usage — Record token usage for a tool call. Takes tool_name, model (optional), input_tokens, and output_tokens. Emits a budget warning notification if 80% of threshold is reached.
Budgets & routing (3 tools)
  • set_budget_alert — Set a budget threshold in USD (threshold_usd). Warns at 80% and 100% of the threshold. Use with --enforce-budget to block calls beyond the limit.
  • suggest_model_routing — Heuristic model recommendation by task type. Takes task_description and optional constraints.max_cost_usd. Returns recommended model with reasoning and estimated cost.
  • check_routing_policy — Check whether a model is allowed for a given task type under the routing policy. Takes task_type and model.
History & reports (4 tools)
  • get_spend_history — Query historical spend aggregated by period (day/week/month). Returns breakdown by model and tool. Read-only.
  • estimate_workflow_cost — Pre-run cost estimation for a multi-step workflow. Takes a steps array with tool_name, estimated_input_tokens, estimated_output_tokens, and optional model. Read-only.
  • export_spend_report — Generate a single-file HTML spend report with session breakdown, historical spend, model cost comparison, and budget status. Read-only.
  • export_budget_audit — Export the audit log of budget enforcement decisions. Accepts optional from_date, to_date, and format (json/csv). Read-only.
Project allocation (4 tools)
  • set_project — Create or update a project with an optional budget_usd. Takes project_name.
  • tag_session — Tag the current session with a project_name for cost allocation.
  • get_project_costs — Get cost report for a project. Takes project_name and optional since (ISO date). Read-only.
  • export_chargeback — Generate a chargeback report for internal billing. Takes from_date, to_date, optional group_by (project/session), and optional format (json/csv). Read-only.

Configuration

--budget-alert

Session spend threshold in USD. A warning is returned when session costs reach 80% and again at 100% of this threshold.

Type: number

--db / --db-path

Path to the SQLite database file used to store cost history.

Type: string Default: ~/.mcp/costs.db

--pricing-table

Path to a JSON file containing custom model pricing ($/1K tokens). Merged with the built-in table; missing models fall back to defaults.

Type: string

--default-model

Model name to attribute costs to when no model can be inferred from context.

Type: string Default: claude-sonnet-4-6

--enforce-budget

Block tool calls that would cause the session to exceed the budget alert threshold. Requires --budget-alert to be set.

Type: boolean Default: false

--http-port

Start in HTTP mode using Streamable HTTP transport instead of stdio. Useful for sharing a single cost-tracking instance across a team.

Type: number Default: disabled (uses stdio)

Pass flags via the args property in your JSON config:

{
  "mcpServers": {
    "cost-tracker": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-cost-tracker-router@latest",
        "--budget-alert=2.00",
        "--enforce-budget"
      ]
    }
  }
}

Supported models and pricing

Built-in pricing table (USD per 1K tokens):

ModelInputOutput
claude-opus-4-6$0.0150$0.0750
claude-sonnet-4-6$0.0030$0.0150
claude-haiku-4-5$0.0008$0.0040
gpt-4o$0.0025$0.0100
gpt-4o-mini$0.000150$0.000600
gemini-1.5-pro$0.001250$0.005000
gemini-1.5-flash$0.000075$0.000300
gemini-2.0-flash$0.000100$0.000400

Override individual model prices with --pricing-table. All costs are estimates.

Verification

Before publishing a new version, verify the server with MCP Inspector to confirm all tools are exposed correctly and the protocol handshake succeeds.

Interactive UI (opens browser):

npm run build && npm run inspect

CLI mode (scripted / CI-friendly):

# List all tools
npx @modelcontextprotocol/inspector --cli node dist/index.js --method tools/list

# List resources and prompts
npx @modelcontextprotocol/inspector --cli node dist/index.js --method resources/list
npx @modelcontextprotocol/inspector --cli node dist/index.js --method prompts/list

# Call a read-only tool
npx @modelcontextprotocol/inspector --cli node dist/index.js \
  --method tools/call --tool-name get_session_cost

# Call record_usage with arguments
npx @modelcontextprotocol/inspector --cli node dist/index.js \
  --method tools/call --tool-name record_usage \
  --tool-arg tool_name=my_tool --tool-arg input_tokens=500 --tool-arg output_tokens=200

Run before publishing to catch regressions in tool registration and runtime startup.

Contributing

Update src/pricing.ts when new models are released. All cost calculation changes must include unit tests with known token counts and expected USD values. Routing suggestions live in src/tools/routing.ts.

npm install && npm test

MCP Registry & Marketplace

This plugin is available on:

Search for mcp-cost-tracker-router.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.