Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Beschreibung vom Entwickler (englisches Original)
Per-function effect analysis for agents: blast radius, what reaches the network, gate verdicts.
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.
CANDOR_ROOTDu 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": {
"candor": {
"command": "npx",
"args": [
"-y",
"candor-ts",
"--mcp"
],
"env": {
"CANDOR_ROOT": "your-value"
}
}
}
}Führe das in deinem Terminal aus
claude mcp add candor --env CANDOR_ROOT=your-value -- npx -y candor-ts --mcpTrag die leeren Werte ein, bevor du ihn startest.
In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"candor": {
"command": "npx",
"args": [
"-y",
"candor-ts",
"--mcp"
],
"env": {
"CANDOR_ROOT": "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": {
"candor": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"candor-ts",
"--mcp"
],
"env": {
"CANDOR_ROOT": "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.
CANDOR_ROOT 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 7. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto tombaldwin 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 (0.41.0) kam vor 3 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Node.js auf deinem Computer.
In derselben Kategorie: Spec Driven Development, Remote Desktop Commander, Python MCP
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.
Local-only Python MCP server for the Files.com API.
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.
candor for TypeScript: per-function side effects, transitively, with a deterministic policy gate. candor-ts resolves every call through the TypeScript compiler API and reports, for each function in your project, which effects it can reach — Net, Fs, Db, Exec, Env, Clock, … — including effects inherited through any chain of calls across files, with a disclosed Unknown wherever resolution fails (a callback value, an any-typed callee — never silently pure). A candor-spec implementation, sibling of the Rust and JVM engines.
Site: candor.poly.io — the measured case in five minutes.
npm install # typescript + @types/node
node scan.mjs # tsconfig.json honored; tests excluded; writes
node scan.mjs . --policy .candor/policy # the §6.2 gate: exit 1 on violation, 2 if unreadable node scan.mjs . --gate-json gate.json # + the structured verdict {spec, ok, violations} (§3.3) CANDOR_BASELINE=saved.json node scan.mjs . # AS-EFF-005 guard: exit 1 if an existing fn GAINED an
node scan.mjs --version # installed build + spec contract (offline), + upgrade line
node query.mjs show .candor/report db.save 1 # a function's effects (match ladder) node query.mjs where .candor/report Net 1 # direct sources vs inheritors node query.mjs callers .candor/report db.save 1 # the blast radius (transitive callers) node query.mjs map .candor/report 1 # module → effects overview node query.mjs containment .candor/report # §6.1 boundary-effect dispersion (+ baseline = ratchet) node query.mjs blindspots .candor/report # the Unknown SOURCES, ranked by blast radius node query.mjs whatif .candor/report db.save Net policy # pre-edit gate verdict (exit 1) node query.mjs diff .candor/report baseline 1 # per-function effect delta (exit 1 on a gain;
node query.mjs gate --report dep/.candor/report.json --policy arch.policy --gate-json -
forbid, allow, a class-scopeddeny with the scoping field absent) is REFUSED
A checked-in `.candor/config` (spec §3.4) replaces the env wiring — policy arch.policy / baseline / deps one per line, discovered by walking up from the scan target; relative values resolve against the config's repo, so CI is "point at the repo". A configured-but-unusable config/policy/baseline fails loud (exit 2), never silently gateless.
The scan-time baseline guard (AS-EFF-005, spec §7) makes effect *regressions* un-shippable: point CANDOR_BASELINE (or the config's baseline key) at a saved report, and any function that gained an effect fails the scan — exit 1, the records join the --gate-json verdict, each carrying origin (existing / new / unknown). ⟨0.40⟩ A function ABSENT from the baseline is compared against nothing, so a new effectful function fails too; a new pure one passes, and a new Unknown-only one is named in a note. Module.fn keys mean a renamed file reads as absent: review with candor diff before re-recording. The guard is fail-closed like the policy gate: a present-but-unparseable baseline, or one produced by a different engine build (§2.1 — an engine upgrade is baseline-invalidating), exits 2 without evaluating; only a genuinely absent file is a one-line note (guard not active). Keep the two surfaces straight: query diff is the read-only comparison — it *discloses* a producing-build mismatch (⚠, exit 0) and informs; the scan-time guard is the gate-grade fail-closed surface, the one CI should hold. Semantics mirror the reference engine (candor-java) exactly.
Staying current: check your installed version and upgrade — candor/AGENTS.md §2a. npx -y candor-ts --version prints the build, the spec, and the upgrade one-liner (offline; candor never phones home).
Function names are module-qualified with . segments (src.db.save), so policy scopes read naturally. A function declared inside a TS namespace carries the namespace segments in fn and the callgraph keys (src.util.Ns.helper) — so layer policies on namespaces bite — while the §2 hash join key keeps the bare local name; builds before 0.8.7 omitted the segments, so crossing that line invalidates saved baselines (regenerate them). A pure rule forbids every *effect* but not Unknown — the §4 trust marker is uncertainty, not an effect (matching the reference engine, candor-java); deny Unknown is the explicit knob for boundaries that must also exclude the unverifiable case.
# .candor/policy
deny Net domain # the domain layer reaches no network, even through helpers pure parse # parsing is effect-free allow Db in db orders audit_log # the db layer touches ONLY these tables allow Net in billing api.stripe.com # billing talks ONLY to Stripe forbid domain -> infra # the domain layer must not depend on infra
The report carries the four literal surfaces where a declaration makes them decidable — hosts at Net calls, tables at Db calls (SQL table positions, mirroring the Rust/JVM extractors exactly, plus TypeORM's `@Entity("user")` declarations read through the receiver's Repository type argument), cmds at Exec, path-shaped paths at Fs — never from a runtime-computed value, propagated transitively, enforced by the allow rules above. On a real Nest app this makes table-level policy live: allow Db in article.service article comments flags the service reaching user and follows.
The classifier is curated (the same under-report-and-say-so posture as the other engines): the Node builtins (fs, net/http/tls, dns, child_process, worker_threads, node:sqlite, node:vm, process.env, the clock), the web network globals (fetch, XMLHttpRequest, navigator.sendBeacon, and WebSocket/EventSource — construction, send and close, charged identically whether they resolve through lib.dom or through @types/node's undici-types re-export), the HTTP/queue/mail tier (axios/got/node-fetch/undici/ws/ socket.io/nodemailer, gaxios + googleapis-common + google-auth-library, stripe, @sentry/*, posthog-node, bull/bullmq), the database drivers (pg/mysql2/mongodb/redis/ioredis/sqlite3/ better-sqlite3/knex) and the ORM tier (TypeORM — with @Entity("…") table extraction — Prisma, Mongoose, Sequelize, drizzle-orm), plus execa/cross-spawn/shelljs/open, fs-extra/ graceful-fs/rimraf/glob/chokidar, dotenv, winston/pino/bunyan. An unlisted npm package contributes nothing — candor never guesses an effect — but the scan names it: the receipt's coverage-ledger line (marker: classifier doesn't cover) lists every package the code demonstrably calls that candor's classifier neither classifies nor has reviewed-pure, and each function carries the invisible list it (transitively) reaches.
⟨0.32⟩ Node core is the one part of the classifier that is a denylist, not a curated list. The builtins are a finite set, so every module's surface is reviewed and a core member that is neither classified nor reviewed effect-free reads Unknown[native: . ] — never pure. That is why v8.writeHeapSnapshot() is Fs, inspector.open() is Net, and repl.start(), process.dlopen() and new worker_threads.Worker(file) are visible holes rather than silence.
candor-ts-mcp exposes the read-only queries as an MCP server, so a coding agent can ask "if I change this, what's the runtime blast radius?" or "what reaches the network?" and get deterministic ground truth from a precomputed report — instead of burning tokens tracing the call graph by hand (the measured ~700–2000× token win on blast-radius questions).
// in an MCP client config — point it at a report you've already scanned
{ "command": "npx", "args": ["-y", "candor-ts-mcp"], "env": { "CANDOR_REPORT": ".candor/report.myPkg.scan" } }
Tools: candor_impact (backward blast radius), candor_reachable (what runs at runtime), candor_where (effect surface), candor_path (how an effect is reached), candor_callers, candor_show, candor_map, candor_containment, candor_blindspots, candor_whatif (pre-edit gate check — a given-but-unreadable policy is a loud error, never a clean verdict), candor_gate (the checked-in .candor/config policy verdict), candor_accepts (the §6.2 ⟨0.41⟩ proposal that refreshes or adopts accept lines; writes no file, and adopt needs the operator's because), candor_diff/candor_gains (baseline deltas). Each takes an optional report prefix (else $CANDOR_REPORT); --root locks the server to one workspace. The server is query-only — it never scans (the analyzer self-boundary, spec §7.12: an agent or a hook produces the report; the server reads it, Fs only). The query logic is the shared query-core.mjs, the same answers the CLI gives.
`candor-lsp` renders the same report where the code is, for any LSP-native editor (helix, neovim; the JetBrains plugin bundles it): a CodeLens per effectful function (⚡ Db, Net · blast radius 12), hover provenance (the hop chain to where an inherited effect is performed), and the repo's policy verdict as diagnostics. Like the MCP server it is a pure report consumer — any engine's report — and never scans. (Both report-computed gates are advisory: the engine's own --gate-json run additionally fails masked/incomplete literal surfaces and is the authoritative CI form.)
It also answers the pre-edit question in place: inside a function, a code action per boundary effect the fn doesn't yet perform — candor: what if handler performed Net? — runs the same whatif as candor-ts-query whatif/candor_whatif (blast radius + the policy rule that WOULD fire) and shows the verdict as a message plus a transient diagnostic at the function (cleared on the file's next open/save; with no policy discovered it says so and reports the radius alone). Plain textDocument/codeAction + workspace/executeCommand (candor.whatif) — it works unmodified in helix, neovim, VS Code, and JetBrains via LSP4IJ.
The live loop — candor-ts-watch keeps the report fresh as the agent edits, so the answers are about the *current* code, not a stale snapshot:
candor-ts-watch ./src --out .candor/report # re-scans only when a tracked source actually changes
It tracks the project's sources by content hash and re-scans on a real
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