Finance Toolkit
500+ transparent financial methods calculated from raw statements, not third-party endpoints.
Descripción del creador (original en inglés)
Verified issuer earnings calendars and results documents
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
Necesitas
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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": {
"earnings-watch": {
"command": "uvx",
"args": [
"earnings-watch",
"serve"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add earnings-watch -- uvx earnings-watch servePégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"earnings-watch": {
"command": "uvx",
"args": [
"earnings-watch",
"serve"
]
}
}
}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.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"earnings-watch": {
"type": "stdio",
"command": "uvx",
"args": [
"earnings-watch",
"serve"
]
}
}
}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.
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Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 8 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub benjamin-di, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
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.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
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).
El repo de GitHub cambió por última vez –, y la última versión (0.3.3) llegó al registro hace 4 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Python (uv) en tu computadora.
En la misma categoría: Finance Toolkit, SolidInvoice, Korea Tax Calculator
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
500+ transparent financial methods calculated from raw statements, not third-party endpoints.
Create and send invoices and quotes, manage clients, and track payments in SolidInvoice.
Korean tax calculation and tax-audit judgment MCP: 96 tools with statutory citations.
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.
Verified issuer earnings calendars and results documents through a CLI, Python API and MCP server. Models propose dates; deterministic checks require quoted evidence and consistent issuer, period and timing. A call time never silently becomes a publication time.
Calendar updates are optional. Earnings Watch produces an operation plan; your MCP client uses its external Outlook app to apply it and acknowledges confirmed writes. No Microsoft credentials or calendar SDK are required by this package.
Maintained source and contributions: benjamin-di/earnings-watch. See Source and releases.
Requires Python 3.12+. Install the published package with uv tool install earnings-watch, or develop from a source checkout:
make bootstrap
uv run earnings-watch init uv run earnings-watch doctor uv run earnings-watch sources import examples/sources.yaml uv run earnings-watch watch EXAMPLE uv run earnings-watch upcoming --format json
The example uses reserved domains and fictional data; replace its source URLs and issuer metadata before fetching. There is no bundled issuer universe or market-data subscription.
Serving reads SQLite and updates personal follows/ledgers; it never fetches issuer pages or calls a model. Run maintenance separately:
uv run earnings-watch sweep --dry-run
uv run earnings-watch sweep uv run earnings-watch sweep --docs-only uv run earnings-watch worker
The default backend is none: it preserves existing dates and still polls official release providers. To extract new dates, install and sign into your own Claude Code or Codex CLI, then configure it in earnings-watch.toml:
[llm]
backends = ["claude-code", "codex", "none"] max_calls_per_run = 20
Supported minimum versions are Claude Code 2.1.312 and Codex 0.164.0. Run earnings-watch doctor --live to check capabilities and an optional model canary. The package has no login flow. Model usage follows your CLI account's limits and terms. Only an explicit sign-in or account-limit refusal, or a configured Codex endpoint that is unreachable or failing before any output, tries the next backend; a timed-out run is not repeated in the same tick.
Codex runs with --ignore-user-config. To send it through an OpenAI Responses-compatible endpoint, set both codex_base_url and codex_key_env (the name of the environment variable holding its key) under [llm]; the key itself never goes in the file. Use https:// for any endpoint that is not on the local host. Claude Code receives ANTHROPIC_BASE_URL and CLAUDE_CODE_MAX_RETRIES from the environment, so a bounded retry count lets an unavailable endpoint fail before the task timeout.
A local client configuration, after initialization:
{"mcpServers":{"earnings":{"command":"earnings-watch","args":["serve","--stdio"]}}}
| Tool | Purpose |
|---|---|
earnings_upcoming | Bounded upcoming dates with timing uncertainty |
earnings_get_events | Evidence, revisions and recent history |
earnings_documents | Official result-document links and verification status |
earnings_changes | Cursor-based public change feed |
earnings_watchlist | Your follows and registration states |
earnings_watch | Follow an issuer; queue registration or resolve ambiguity |
earnings_unwatch | Remove a manual follow |
earnings_calendar_plan | Plan optional external calendar operations |
earnings_calendar_ack | Record confirmed operations from a signed plan |
earnings_status | Catalogue and maintenance status |
Prompts: earnings_briefing, results_brief, sync_to_my_outlook. Resource: earnings://upcoming.ics. Exact times require verified clock and timezone evidence; otherwise calendar entries are all-day. Outlook operations never include attendees.
HTTP standalone mode uses a separate bearer token per person at /users/ /mcp. Gateway mode accepts a configured backend bearer and an immutable subject header from the admission gateway at /mcp. These modes are separate trust boundaries; see permissions.
The optional Connections page provides Upcoming, Your companies, Notifications and Calendar in one place. Sign in, add companies or preview a holdings import, then subscribe to your private calendar feed. Facts are shared; holdings, watchlists, mutes, preferences and receipts are personal.
Results-out notifications are enabled for new people. Daily briefs and urgent changes are optional. Mail submission requires a separately configured transport; the server and acquisition worker never send messages themselves.
cp earnings-watch.example.toml earnings-watch.toml
docker compose build docker compose run --rm server init docker compose run --rm server users add example docker compose up -d
Save the returned token privately and use it only on that person's HTTP path. The server binds to loopback by default. Both images run as uid 1000; Compose drops capabilities, prevents privilege escalation and mounts the root filesystem read-only. The worker image includes pinned model CLIs; their auth volume is optional with backends=["none"]. Configure CLI sign-in outside the read-only worker before enabling model maintenance. Protect auth files and the data volume from other users.
Use --config PATH, --person ID, and --json with the CLI. Settings come from TOML and EARNINGS_WATCH_* environment variables. See operations, architecture, providers and design decisions.
make check verifies lock drift, lint, formatting, types, dependency boundaries, offline tests and wheel/source builds. Tests use synthetic issuers and fake network/model/account boundaries. Real-model and real-page checks are separate operator gates. Read CONTRIBUTING.md and SECURITY.md.
See implementation status for completed capabilities, release gates and the production adapter work still required before cutover.