Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Descripción del creador (original en inglés)
Scores Shelem (شلم) card game hands: bids, Mak, Shelem, the 1000-point rule and the 1165 win.
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
¿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": {
"shelem-scorekeeping": {
"command": "uvx",
"args": [
"shelem-scorekeeping-mcp"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add shelem-scorekeeping -- uvx shelem-scorekeeping-mcpPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"shelem-scorekeeping": {
"command": "uvx",
"args": [
"shelem-scorekeeping-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.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"shelem-scorekeeping": {
"type": "stdio",
"command": "uvx",
"args": [
"shelem-scorekeeping-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.
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 7 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub khaleghika, 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 (0.1.0) llegó al registro hace 8 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: Spec Driven Development, Remote Desktop Commander, Signoff
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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Five gates that make an agent's 'done' provable: run them, read the verdict, audit the record.
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.
A local Model Context Protocol server that scores hands of Shelem (شلم), the Persian trick-taking card game. An AI assistant reads the bids and results from conversation, and this server does every score change with deterministic integer arithmetic. The assistant never has to do the maths itself.
The server runs on your machine over STDIO. It has no network access, no database, and no state. It needs nothing hosted.
shelem-scorekeeping-mcpio.github.khaleghika/shelem-scorekeeping (registry search)calculate_shelem_score, with typed input and structured output.shelem_mcp.scoring) that is independent of MCP, uses only the Python standard library, and never uses floating point.explanation of every hand, generated from the engine result.The full specification, including the contradictions found in the source rules and how each one is resolved, is in docs/scoring-rules.md. The same document in Persian is docs/scoring-rules.fa.md.
hakem_team and bidding_team name the same team.+bid. The defenders score what they captured.+2 × bid.−bid. If the defenders captured 85 or more, the Hakem scores −2 × bid. The defenders always score what they captured.+330 on success, −330 if the defenders captured 5–80, −660 if they captured 85 or more. sar-shelem scores the same as Shelem.The package name is `shelem-scorekeeping-mcp`, and the command it installs has the same name. Python 3.10 or newer is required.
uv downloads and runs the server in an isolated environment, so there is nothing to install by hand:
uvx shelem-scorekeeping-mcp --version
pip install shelem-scorekeeping-mcp
shelem-scorekeeping-mcp --version
python -m shelem_mcp also starts the server.
git clone https://github.com/khaleghika/shelem-mcp
cd shelem-mcp uvx --from . shelem-scorekeeping-mcp --version
Run without arguments, the command starts the MCP server on STDIO and waits for a client. You do not normally run it yourself. Your MCP client launches it.
Options:
--log-level DEBUG|INFO|WARNING|ERROR|CRITICAL sets the level of diagnostics written to stderr. The default is WARNING. The SHELEM_MCP_LOG_LEVEL environment variable does the same.--version prints the version.Edit claude_desktop_config.json. On macOS it is at ~/Library/Application Support/Claude/claude_desktop_config.json. On Windows it is at %APPDATA%\Claude\claude_desktop_config.json.
{
"mcpServers": { "shelem-scorekeeping": { "command": "uvx", "args": ["shelem-scorekeeping-mcp"] } } }
Restart Claude Desktop afterwards. If you installed with pip instead, use "command": "shelem-scorekeeping-mcp" with "args": [].
claude mcp add shelem-scorekeeping -- uvx shelem-scorekeeping-mcp
Add --scope user to make it available in every project. Alternatively, commit a project-level .mcp.json:
{
"mcpServers": { "shelem-scorekeeping": { "type": "stdio", "command": "uvx", "args": ["shelem-scorekeeping-mcp"] } } }
Any client that launches STDIO servers takes the same command and args. In Cursor, add the Claude Desktop block above to ~/.cursor/mcp.json or to .cursor/mcp.json in a project.
Tell your assistant about the game in your own words, for example: *"We're both on 1000. Team 1 is Hakem, bid 20, and made it exactly (مک)."* The assistant expands the spoken bid "20" to 120 and calls the tool:
{
"team1_score": 1000, "team2_score": 1000, "hakem_team": 1, "bidding_team": 1, "bid": 120, "outcome": "mak" }
The server returns this structured result:
{
"updated_team1_score": 1120, "updated_team2_score": 1000, "game_finished": false, "winner": null, "score_changes": { "team1": 120, "team2": 0 }, "explanation": "Team 1 (Hakem) declared a normal bid of 120. Team 1 captured 120 points and Team 2 captured 45. Team 1 captured exactly its bid (Mak), which is a made bid: +120. Team 2 had 1000 before the hand (1000 or more) and the bid was made, so its 45 captured points are withheld: +0. New totals: Team 1 1120, Team 2 1000. Neither team has reached 1165, so the game continues.", "hand": { "bid": 120, "contract": "normal", "bidding_team": 1, "hakem_team": 1, "defending_team": 2, "declarer_points": 120, "defending_points": 45, "bid_successful": true, "scoring_rule": "bid_made", "thousand_point_rule_applied": true, "scoring_note": null } }
The server is stateless. The assistant keeps the running totals and passes the totals from before each hand. To correct an earlier hand, it re-scores every hand from that point on.
calculate_shelem_score| Field | Type | Required | Meaning |
|---|---|---|---|
team1_score | integer | yes | Team 1 total before the hand. May be negative. |
team2_score | integer | yes | Team 2 total before the hand. May be negative. |
bid | integer | yes | 100, 105, …, 165. Spoken abbreviations must be expanded first ("20" is 120). |
hakem_team | 1 or 2 | one of the two | The Hakem. |
bidding_team | 1 or 2 | one of the two | The team that won the bidding. Must equal hakem_team if both are given. |
outcome | "mak" or "sweep" | one of the three | mak: the Hakem captured exactly the bid. sweep: the defenders captured nothing. |
defending_points | integer | one of the three | Points captured by the defenders, 0–165, a multiple of 5. |
declarer_points | integer | one of the three | Points captured by the Hakem. Must sum to 165 with defending_points. |
contract | "normal", "shelem", "sare-shelem" | when bid is 165 | Omit below 165. |
bid_successful | boolean | no | A cross-check only. If it disagrees with the points, the hand is rejected. |
"One of the two" and "one of the three" mean at least one field from that group is required. When several are given, they must agree.
bid_successful alone cannot score a hand. The Hakem's award depends on whether the defenders captured nothing or 85 or more, and the defenders' award is the points they captured. The tool therefore needs the captured points, or outcome, as well.
| Field | Type | Meaning |
|---|---|---|
updated_team1_score | integer | Team 1 total after the hand. |
updated_team2_score | integer | Team 2 total after the hand. |
game_finished | boolean | true when exactly one team has reached 1165 or more. |
winner | 1, 2 or null | Set only when the game is finished. |
score_changes | {team1, team2} | Points each team gained or lost in this hand. |
explanation | string | A plain-English account of the scoring. |
hand | object | Details: the resolved bid, contract, teams, captured points, bid_successful, scoring_rule, thousand_point_rule_applied, scoring_note. |
scoring_rule is one of sweep_double, bid_made, bid_failed, heavy_failure, shelem_made, shelem_failed, or shelem_heavy_failure.
Invalid input returns an MCP tool result with isError: true and a message that ends in (field: ), for example:
bid must be from 100 through 165 in steps of 5. Abbreviated spoken bids are not accepted. (field: bid)
No score is returned with an error. The tool refuses to score a hand when either team is already at 1165 or more, because that game is over.
from shelem_mcp.scoring import calculate, explain
result = calculate({"team1_score": 0, "team2_score": 0, "bidding_team": 2, "bid": 135, "defending_points": 35}) print(result["team1_score"], result["team2_score"]) # 35 -135 print(explain(result))
python -m shelem_mcp.scoring < hand.json scores one hand from JSON on the command line.
uv venv
uv pip install -e ".[dev]" uv run pytest
The tests cover the following:
tests/test_scoring.py tests the engine alone: every worked example from the source rules, every boundary (999 and 1000, 1160 and 1165, 80 and 85 defensive points), Mak, sweeps, Shelem, validation, a multi-hand game, and the 1000-1000 Mak regression.tests/test_mcp_tools.py tests the MCP layer: tool discovery and schemas, invocation in-process and over a real STDIO subprocess (both the classic initialize handshake and the 2026-07-28 protocol), raw JSON-RPC to check that stdout carries only protocol messages, server.json against the official registry schema, and this README's example against the real output.To build the distribution:
uv build
uvx twine check dist/*
server.json uses the current registry schema, https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json. It is a local PyPI package on STDIO. There is no remote endpoint. The mcp-name comment at the top of this file is the ownership proof PyPI publishing checks.
The current registry guides are:
Pushing a tag such as v0.1.0 runs .github/workflows/publish-mcp.yml. The tag, the package version, and both version fields in server.json must be the same number. The workflow tests, builds, publishes shelem-scorekeeping-mcp to PyPI with a repository secret named PYPI_API_TOKEN, then publishes this repository's `server.json
Solo se muestra el principio; lee el resto en el repo