Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Beschreibung vom Entwickler (englisches Original)
Scores Shelem (شلم) card game hands: bids, Mak, Shelem, the 1000-point rule and the 1165 win.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"shelem-scorekeeping": {
"command": "uvx",
"args": [
"shelem-scorekeeping-mcp"
]
}
}
}Führe das in deinem Terminal aus
claude mcp add shelem-scorekeeping -- uvx shelem-scorekeeping-mcpIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"shelem-scorekeeping": {
"command": "uvx",
"args": [
"shelem-scorekeeping-mcp"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"shelem-scorekeeping": {
"type": "stdio",
"command": "uvx",
"args": [
"shelem-scorekeeping-mcp"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 7. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto khaleghika bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (0.1.0) kam vor 8 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Python (uv) auf deinem Computer.
In derselben Kategorie: Spec Driven Development, Remote Desktop Commander, Dialyne
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
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.
Real phone calls in France for AI agents: dial +33 numbers, menus, hold, AI disclosure.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
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
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