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Teamspend

by RudrenduPaulversion 0.2.6i★ –iRuns on your computer
Registry nameio.github.RudrenduPaul/teamspend

Install

Overview

Description from the maker (original English)

Compares AI coding tool spend before and after a migration via MCP tools.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Developer tools

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "teamspend": {
      "command": "uvx",
      "args": [
        "teamspend-cli",
        "teamspend-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add teamspend -- uvx teamspend-cli teamspend-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "teamspend": {
      "command": "uvx",
      "args": [
        "teamspend-cli",
        "teamspend-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "teamspend": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "teamspend-cli",
        "teamspend-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account RudrenduPaul, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Developer toolsi

  • More stars than 0% of the other 4904 servers in this category
  • Published to the registry more recently than 33% of the other 4904 servers in this category
  • Basic checks equal to or better than 100% of the other 4904 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Teamspend safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.2.6) reached the registry 3 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

GitHub

by github

GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.

Computer or cloud★ 34,245MITUpdated 4 days ago
Install

Desktop Commander

by wonderwhy-er

MCP server for terminal commands, file operations, and process management

Runs on your computer★ 10,225MITUpdated 16 days ago
Install

Cloudflare MCP

by cloudflare

Cloudflare MCP servers

Runs in the cloud★ 4,446Apache-2.0Updated 14 months ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

teamspend

Install • Usage • Features • Compare • FAQ • Contributing

Your AI coding tools will never tell you if switching between them actually saved money. teamspend does, in one command.

The recording above uses claude-code-personal (credential-free, reads local session logs) so the install-to-first-run flow plays end to end with no admin API keys required; the live output shape is identical whichever adapter you point it at.

npx teamspend-cli --tools cursor,claude-code --before 2026-04-01:2026-04-30 --after 2026-06-01:2026-06-30

Six tools now, not two: Cursor, Claude Code, GitHub Copilot, OpenCode, and Codex CLI, plus a credential-free personal mode for anyone without admin access. More teams are running more than one AI coding tool at once, or moving between them, than ever before. Every one of those tools has a dashboard that's perfectly accurate about itself and structurally incapable of showing you anything else. teamspend is the missing piece: one real number, pulled straight from both tools' own APIs, showing exactly what changed.

Table of contents

  • See it in action
  • What it actually does
  • Get started in under a minute
  • Built to be trusted, not just used
  • CSV import, for the history a live API can't reach
  • GitHub Copilot support
  • OpenCode: local-only, no API key needed
  • Codex CLI: local-only, no API key needed
  • Personal usage mode, for when you don't have admin access
  • Session-level cost breakdown
  • Commands
  • Library API reference
  • MCP Server
  • Roadmap
  • Good to know before you run it
  • What is teamspend, and why does it exist
  • How teamspend compares
  • FAQ
  • Contributing
  • Success stories
  • License

See it in action

npx teamspend-cli --tools cursor,claude-code --before 2026-04-01:2026-04-30 --after 2026-06-01:2026-06-30

Example output (shape shown below; your real numbers come from your own org's API data):

teamspend snapshot -- migration cost comparison Tools: cursor -> claude-code

BEFORE (cursor) Total spend: $2,140.00 (exact, usage-based) Active users: 14

AFTER (claude-code) Total spend: $1,860.00 (exact, usage-based) Active users: 14

DELTA: -$280.00 (-13.1%)

Full report: ./teamspend-snapshot-2026-07-11T142842.json

That's the whole product. One command, one honest number, zero spreadsheets.

What it actually does

  • Pulls real numbers, not scrapes or estimates. Talks directly to Cursor's Admin API and Anthropic's Claude Enterprise Analytics API. What you see is what the vendor itself reports.
  • Compares across tools, which no single vendor dashboard will ever do. Cursor's dashboard shows Cursor. Claude Code's dashboard shows Claude Code. teamspend puts both numbers in the same sentence.
  • Fills historical gaps with CSV import. If your comparison window reaches back further than a tool's API history, hand it a CSV in the same shape and it folds those rows into the same report, no separate merge step.
  • Never fails silently. If one side of the comparison can't be fetched, you get a clear "data unavailable" and a reason, never a wrong number presented as a right one.
  • Retries the way a production client should. Rate limits, timeouts, and transient errors get exponential backoff automatically, capped and bounded, so a flaky API call doesn't mean a flaky result.
  • Flags suspicious zeros instead of trusting them. Flat-seat billing tiers on both Cursor and Claude Code can report an exact-looking $0 for a user with real token activity. teamspend detects that pattern and marks the number estimated rather than showing a misleading zero.
  • Ships with zero runtime dependencies. No supply chain to audit but our own code. Native fetch, native argument parsing, native file I/O.

Get started in under a minute

teamspend ships two independent, equally first-class packages -- pick whichever fits your toolchain, or install both. They talk to the same six data sources and compute the same before/after delta.

# npm -- JavaScript/TypeScript CLI + library

npm install -g teamspend-cli

PyPI -- Python CLI + library (genuine port, not a wrapper around the Node binary)

pip install teamspend-cli

Both packages are named teamspend-cli (the older plain teamspend name was renamed to match this project's other packages, then fully unpublished from both registries as of 2026-08-03 -- same maintainer, same repo, but no longer installable under any version). Either way, the installed command is teamspend.

Give it the two API keys for the tools you're comparing:

export TEAMSPEND_CURSOR_TOKEN=<your Cursor Admin API key>

export TEAMSPEND_CLAUDE_CODE_TOKEN=

Both need org-admin-level access on their platform. If you can already see billing for your org, you have what you need.

teamspend --tools cursor,claude-code --before 2026-04-01:2026-04-30 --after 2026-06-01:2026-06-30

Add --json to print the full JSON report to stdout instead of the human-readable summary above -- useful for piping into another script or a CI step. The JSON report file on disk is written either way; --json only changes what prints to the terminal.

Comparing against GitHub Copilot instead? See "GitHub Copilot support" below -- it needs two more environment variables than Cursor/Claude Code do, for reasons that are worth reading before you point it at a real org.

Both CLIs accept the same comparison flags (--tools, --before, --after, --json, --before-csv, --after-csv, --breakdown, --help/-h, --version/-V) and print the same output shape. See the Commands section below for the full flag reference, python/README.md for the Python package's library API, and docs/getting-started.md for the full guide covering both distributions.

Built to be trusted, not just used

A tool that touches your team's spend and email data should earn that trust in the open. Here's what's actually true about this codebase, checked on every commit, not asserted in a marketing paragraph:

Runtime dependenciesZero
Package size56.8 kB packed, 193.1 kB unpacked
Cold install to first responseUnder 1 second, measured with a cleared npm/npx cache
Tests102 passing (npm), 116 passing (PyPI), 97% line coverage on the TypeScript suite
Known vulnerabilitiesZero, per npm audit
File permissionsReport files are owner-only (0600) and auto-gitignored, since they hold per-user emails and spend

CSV import, for the history a live API can't reach

date,user_email,cost_usd,is_estimated 2025-11-01,jane@example.com,12.50,false

npx teamspend-cli --tools cursor,claude-code --before 2025-11-01:2025-11-30 --after 2026-06-01:2026-06-30 --before-csv ./before.csv

GitHub Copilot support

export TEAMSPEND_COPILOT_TOKEN= export TEAMSPEND_COPILOT_ORG= export TEAMSPEND_COPILOT_SEAT_PRICE_USD=19 # optional, see below

npx teamspend-cli --tools cursor,copilot --before 2026-04-01:2026-04-30 --after 2026-06-01:2026-06-30

Credential: TEAMSPEND_COPILOT_TOKEN needs the read:org scope (a classic PAT) or the fine-grained "View Organization Copilot Metrics" permission, and the org must be on Copilot Business or Enterprise. TEAMSPEND_COPILOT_ORG is required too -- unlike Cursor's and Claude Code's admin APIs, GitHub's Copilot metrics endpoint is scoped to a specific org login in the URL path itself, not just the token.

How teamspend derives a dollar figure, honestly: GitHub's real, current Copilot usage metrics API (GET /orgs/{org}/copilot/metrics/reports/ users-1-day, confirmed against GitHub's own docs while building this -- the older /orgs/{org}/copilot/metrics endpoint some other tools still reference was sunset by GitHub on 2026-04-02 and no longer works) has no cost or spend field anywhere. Copilot Business/Enterprise is flat-seat billing ($19 or $39 per seat per month, bundling a matching monthly AI-credit allowance), and GitHub does not expose an org's actual contracted seat price through any API -- the same structural gap Cursor's and Claude Code's flat-seat billing tiers already have in this tool.

What the API *does* return per user is ai_credits_used. teamspend converts that to USD at GitHub's own published, fixed rate of 1 AI credit = $0.01 USD -- not invented, and not a negotiated per-org price. If you set TEAMSPEND_COPILOT_SEAT_PRICE_USD, that flat price is added once per active user for the whole comparison window (never once per day) to also reflect the license cost the credits-only figure excludes; if you don't set it, the reported number is credits-usage cost only and explicitly does not include the seat fee.

Because there is no vendor-reported cost field to begin with, every Copilot result -- with or without a seat price -- is marked isEstimated: true. This is a stronger caveat than Cursor's and Claude Code's suspicious-zero flag, which only fires on a specific zero-cost pattern: Copilot has no native dollar figure to trust in the first place, so teamspend never claims one. See docs/concepts.md for the full mechanics, including why one comparison window means one API call per calendar day rather than one call for the whole range.

OpenCode: local-only, no API key needed

OpenCode (formerly sst/opencode) has no admin, team, or billing API at all -- it's a local CLI with no organization-level usage endpoint, confirmed against its own README. There is nothing for TEAMSPEND_OPENCODE_TOKEN to authenticate, so it doesn't exist; teamspend instead reads OpenCode's own local session logs directly off disk (~/.local/share/opencode/storage/message/, or $OPENCODE_DATA_DIR if set), the same file format OpenCode itself writes and that [ccusage's OpenCode guide](https://ccusage.com/guide/openc

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