Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Beschreibung vom Entwickler (englisches Original)
Translate Python between English keywords and your language, with round-trip verification.
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.
LEGESHER_MCP_LOG_LEVELDu 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": {
"legesher": {
"command": "uvx",
"args": [
"legesher-mcp"
],
"env": {
"LEGESHER_MCP_LOG_LEVEL": "your-value"
}
}
}
}Führe das in deinem Terminal aus
claude mcp add legesher --env LEGESHER_MCP_LOG_LEVEL=your-value -- uvx legesher-mcpTrag die leeren Werte ein, bevor du ihn startest.
In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"legesher": {
"command": "uvx",
"args": [
"legesher-mcp"
],
"env": {
"LEGESHER_MCP_LOG_LEVEL": "your-value"
}
}
}
}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": {
"legesher": {
"type": "stdio",
"command": "uvx",
"args": [
"legesher-mcp"
],
"env": {
"LEGESHER_MCP_LOG_LEVEL": "your-value"
}
}
}
}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.
LEGESHER_MCP_LOG_LEVEL envDiese 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 6. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto legesher 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 (0.3.0) kam vor 3 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, Reelsaw
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.
Drive a self-hosted Reelsaw: turn long videos into vertical clips, edit, re-render and export them.
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.
The Legesher Model Context Protocol server: the engine's translation capability inside every MCP-capable client — Claude, IDE assistants, agent frameworks — as six coarse, task-shaped tools.
Using the MCP server is free forever (Apache-2.0). The local server runs entirely against the locally installed Legesher engine: it needs no account, and every tool call is served locally. Optional usage telemetry is planned and will be off unless you turn it on; the Privacy section below says exactly what it would send. Some capabilities require a Legesher account on the hosted instance. What the server does is defined by this open package and nothing else.
| Tool | What it does |
|---|---|
translate_to_native | Translate Python source into your natural language. Accepts complete files and fragments alike — no separate snippet mode. |
translate_to_source | Translate native-language code back to English-keyword Python — the form the interpreter, the toolchain, and upstream collaborators use. |
explain_in_language | Return the *engine facts* an assistant needs to explain code in your language: construct-by-construct keyword mappings, a static validation result, and (optionally) the translated source. The model writes the prose; the tool never does. |
lookup_keyword_mapping | Quick-reference lookup: how do specific terms (or the full mapping) render in a language. |
map_existing_codebase | The legibility report: given a set of files, what would translating this codebase into a language look like — per-file coverage, unmapped constructs, and optionally the translated files. |
validate_identifier_translations | Check proposed identifier translations before recording them: malformed identifiers, unsafe text, names the pack has reserved, drift (one concept, two terms) and collision (two concepts, one term) — against both your existing glossary and the rest of the batch. Comparison is NFKC+casefold, so case variants and decomposed forms count as the same term. Returns the conflict-free subset, NFC-normalized and ready to record. |
Notes on shape, straight from the design:
pivoted: true rather than failing.compile(), never exec() — submitted code is parsed, never executed.unsupported_language, language_pack_not_found, invalid_source) and a generic message: no stack traces, no filesystem paths, no echoed source.| URI | Contents |
|---|---|
legesher://languages | The language catalog with pack availability. |
legesher://languages/{lang}/terms | The full term dictionary (keywords, builtins, exceptions, reserved words) for one language, at the default Python version. |
legesher://languages/{lang}/terms/{python_version} | The same dictionary pinned to a Python version, for callers on a grammar other than the default. |
explain-in — scaffolds "explain the selected code in {language}", steering the model to explain_in_language first and keeping engine facts distinct from narration.translate-review — walks a source/translated pair: translate, validate, then summarize what changed and what did not map.legibility-report — drives map_existing_codebase over pasted files and renders the coverage report as a stakeholder-readable summary.The server needs the Legesher engine. Every language pack ships inside legesher-i18n, so nothing else is installed:
# The server (pulls legesher-core and legesher-i18n, packs included)
uvx legesher-mcp
Inside the monorepo workspace every shipped pack is already installed:
uv run legesher-mcp
The server is quiet by default (log level WARNING). For troubleshooting, set LEGESHER_MCP_LOG_LEVEL (DEBUG, INFO, WARNING, ERROR, CRITICAL); unrecognized values fall back to the quiet default. GUI clients do not run your shell, so the variable has to go in the client's own config — every block below shows where.
claude_desktop_config.json (Settings → Developer → Edit Config):
{
"mcpServers": { "legesher": { "command": "uvx", "args": ["legesher-mcp"], "env": { "LEGESHER_MCP_LOG_LEVEL": "DEBUG" } } } }
claude mcp add legesher -- uvx legesher-mcp
claude mcp add legesher --env LEGESHER_MCP_LOG_LEVEL=DEBUG -- uvx legesher-mcp
.cursor/mcp.json (project) or ~/.cursor/mcp.json (global):
{
"mcpServers": { "legesher": { "command": "uvx", "args": ["legesher-mcp"], "env": { "LEGESHER_MCP_LOG_LEVEL": "DEBUG" } } } }
.vscode/mcp.json (workspace) or the user-level mcp.json (Command Palette: *MCP: Open User Configuration*):
{
"servers": { "legesher": { "type": "stdio", "command": "uvx", "args": ["legesher-mcp"], "env": { "LEGESHER_MCP_LOG_LEVEL": "DEBUG" } } } }
settings.json → context_servers:
{
"context_servers": { "legesher": { "command": { "path": "uvx", "args": ["legesher-mcp"], "env": { "LEGESHER_MCP_LOG_LEVEL": "DEBUG" } } } } }
The env block is optional in every case — drop it to keep the quiet default.
stdio is the default and what every client config above spawns. The same server also speaks the MCP streamable HTTP transport, for running it as a long-lived local service or on a machine you control:
legesher-mcp --transport streamable-http # 127.0.0.1:8000/mcp
legesher-mcp --transport streamable-http --port 9000 legesher-mcp --transport streamable-http --host 192.0.2.7
The posture, deliberately:
--host defaults to 127.0.0.1, and wildcard binds (0.0.0.0, ::) are refused: this entry ships no authentication, so it binds exactly one interface you name. To serve beyond a machine you trust end to end, put your own auth in front (below).application/json, not SSE.Origin header are unaffected.Embedding instead of running: legesher_mcp.server.create_server() builds the complete server from a Backend and an entitlement gate, and create_http_app() returns it as an ASGI app to mount behind your own middleware (TLS, auth, request context for the gate — see legesher_mcp.gate.request_context). The gate is default-open: no deployment code here installs one, gated tools always stay listed, and an unentitled call answers with an actionable message rather than an opaque failure. validate_identifier_translations is permanently free by construction.
The server is the deterministic half; two shipped artifacts carry the policy and playbook half for agent sessions:
AGENTS.md, fill in the declared language, and every AGENTS.md-reading agent (Codex, Cursor, Claude Code, Antigravity, Windsurf) picks up the same eight rules: write natively, never hand-translate keywords, one-concept-one-term naming via the project glossary, and the byte-identical round-trip guarantee. The file is the *declaration*; long sessions evict rules files from context, which is exactly why the deterministic tools — not the file — are the *guarantee*..claude/skills/. Skills carry the *stable* playbook; the MCP server stays the live surface — that split is deliberate.LEGESHER_MCP_TELEMETRY=on in the server's environment (the env block or --env flag of your client config, as in the examples above).DO_NOT_TRACK=1 or LEGESHER_TELEMETRY_DISABLED=1 always wins and overrides every other setting.map_existing_codebase are report labels — echoed back to you, never logged, never used to touch the filesystem. This is why validate_identifier_translations takes your glossary as *content* and hands back the accepted entries rather than saving them: recording is yours to do, whether that is .legesher/identifier_map.json in your repo or the legesher CLI, which already maintains that file. A durable glossary that outlives the session and is shared across repos and teammates is a system of record, and belongs behind the hosted API — not in a local subprocess.readOnlyHint: true, idempotentHint: true, destructiveHint: false, openWorldHint: false. Clients that read the hints (Claude Code among them) can reduce or skip approval prompts, because no tool call writes a file, executes submitted code (validation is compile() only), or opens a socket. A surface-lock test asserts the annotations, so a future tool that *does* any of those has to change them deliberately.cd libs/mcp
uv run pytest # the per-commit suite (every tool, through MCP) uv run pytest -m scheduled # release-tier: all-packs sweep + wheel spawn uv run ruff check . # lint uv run mypy legesher_mcp # types
Two test tiers. The default run exercises every tool through a real MCP client session and stays fast. The scheduled tier is excluded from it and run before a release:
tests/test_roundtrip_sweep.py, so a fix announces itself.Nur der Anfang wird gezeigt; den Rest findest du im Repo