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PopNx MCPServidores MCP para quienes usan IA · explicados con palabras sencillas

Teamspend

de RudrenduPaulversión 0.2.6i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.RudrenduPaul/teamspend

Instalar

Resumen

Descripción del creador (original en inglés)

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

Los tres pilares de PopNx MCP

Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.

Qué puedes hacer con él

Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.

  • Conexión: Se ejecuta en tu computadora
  • Transporte: stdio
  • Categoría: Otros

Instalación

Elige la app de IA que usas y copia la configuración.

Antes de instalar

Necesitas

  • PyPIuv de Python instalado (para el comando uvx)

¿Qué app usas?

Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.

Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json

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

Ejecuta esto en tu terminal

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

Abrir en Cursor

O copia la configuración tú

Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json

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

Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.

Abrir en VS Code

O copia la configuración tú

Pégalo en .vscode/mcp.json de tu proyecto

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

Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.

Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.

Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.

Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.

Qué puede hacer

Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.

Revisiones básicasi

Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026

  • ✓ Superada

    El creador coincide con el repo

    El nombre en el registro se verificó con la cuenta de GitHub RudrenduPaul, dueña del repo

  • … Aún sin revisar

    Sigue en mantenimiento

    Todavía no hemos leído este repo en GitHub

  • … Aún sin revisar

    Tiene licencia

    Todavía no hemos leído este repo en GitHub

  • – No aplica

    El endpoint responde

    Este se ejecuta en tu computadora; no hay endpoint en internet

  • – No aplica

    Inicio de sesión con OAuth

    Se ejecuta en tu computadora y usa ajustes locales en su lugar

  • … Aún sin revisar

    Sin instrucciones ocultas en las descripciones de herramientas

    Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet

Comparado con otros en Otrosi

  • Más estrellas que el 0% de los otros 32706 servidores de esta categoría
  • Publicado en el registro más recientemente que el 22% de los otros 32706 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 32706 servidores de esta categoría

Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.

Preguntas frecuentes

¿Es seguro Teamspend?

Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.

¿Qué claves o códigos necesita?

El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.

¿Se ejecuta en mi computadora o en la nube?

Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).

¿Sigue en mantenimiento?

El repo de GitHub cambió por última vez –, y la última versión (0.2.6) llegó al registro hace 3 meses.

¿Qué apps pueden usarlo?

Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Python (uv) en tu computadora.

¿Qué puedo usar en su lugar?

En la misma categoría: Spec Driven Development, Remote Desktop Commander, Kanal Varna — drains, leaks & plumbing (Varna, BG)

Alternativas

Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.

Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi

Spec Driven Development

de formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Se ejecuta en tu computadora★ 440MITActualizado hace 14 meses
Instalar

Remote Desktop Commander

de desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Se ejecuta en la nube★ 211Actualizado anteayer
Instalar

README del creador

Abrir el README

Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.

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

Solo se muestra el principio; lee el resto en el repo

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