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candor

de tombaldwinversión 0.41.0i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.tombaldwin/candor

Instalar

Resumen

Descripción del creador (original en inglés)

Per-function effect analysis for agents: blast radius, what reaches the network, gate verdicts.

Los tres pilares de PopNx MCP

Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.

Qué puedes hacer con él

Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.

  • Conexión: Se ejecuta en tu computadora
  • Transporte: stdio
  • Categoría: Otros

Instalación

Elige la app de IA que usas y copia la configuración.

Antes de instalar

Necesitas

  • npmNode.js instalado (para el comando npx)

¿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": {
    "candor": {
      "command": "npx",
      "args": [
        "-y",
        "candor-ts",
        "--mcp"
      ],
      "env": {
        "CANDOR_ROOT": "your-value"
      }
    }
  }
}

Ejecuta esto en tu terminal

claude mcp add candor --env CANDOR_ROOT=your-value -- npx -y candor-ts --mcp

Completa los valores vacíos antes de ejecutarlo.

Abrir en Cursor

O copia la configuración tú

Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json

{
  "mcpServers": {
    "candor": {
      "command": "npx",
      "args": [
        "-y",
        "candor-ts",
        "--mcp"
      ],
      "env": {
        "CANDOR_ROOT": "your-value"
      }
    }
  }
}

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.

Abrir en VS Code

O copia la configuración tú

Pégalo en .vscode/mcp.json de tu proyecto

{
  "servers": {
    "candor": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "candor-ts",
        "--mcp"
      ],
      "env": {
        "CANDOR_ROOT": "your-value"
      }
    }
  }
}

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.

Valores que debes completar

  • CANDOR_ROOT env
    Lock the server to one workspace: every report prefix is resolved under this root. Unset, the server reads .candor/ relative to the client's working directory.

Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.

Qué puede hacer

Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.

Revisiones básicasi

Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026

  • ✓ Superada

    El creador coincide con el repo

    El nombre en el registro se verificó con la cuenta de GitHub tombaldwin, dueña del repo

  • … Aún sin revisar

    Sigue en mantenimiento

    Todavía no hemos leído este repo en GitHub

  • … Aún sin revisar

    Tiene licencia

    Todavía no hemos leído este repo en GitHub

  • – No aplica

    El endpoint responde

    Este se ejecuta en tu computadora; no hay endpoint en internet

  • – No aplica

    Inicio de sesión con OAuth

    Se ejecuta en tu computadora y usa ajustes locales en su lugar

  • … Aún sin revisar

    Sin instrucciones ocultas en las descripciones de herramientas

    Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet

Comparado con otros en Otrosi

  • Más estrellas que el 0% de los otros 32606 servidores de esta categoría
  • Publicado en el registro más recientemente que el 92% de los otros 32606 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 32606 servidores de esta categoría

Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.

Preguntas frecuentes

¿Es seguro candor?

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.

¿Qué claves o códigos necesita?

El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.

¿Se ejecuta en mi computadora o en la nube?

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).

¿Sigue en mantenimiento?

El repo de GitHub cambió por última vez –, y la última versión (0.41.0) llegó al registro hace 3 días.

¿Qué apps pueden usarlo?

Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.

¿Qué puedo usar en su lugar?

En la misma categoría: Spec Driven Development, Remote Desktop Commander, Georgia MCP

Alternativas

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

Spec Driven Development

de formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Se ejecuta en tu computadora★ 440MITActualizado hace 14 meses
Instalar

Remote Desktop Commander

de desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Se ejecuta en la nube★ 211Actualizado anteayer
Instalar

Georgia MCP

de abgeo

An MCP server for Georgian public data, read from the organizations that publish it.

Computadora o nubeActualizado hoy
Instalar

README del creador

Abrir el README

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.

candor-ts

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

/.candor/report.json + .callgraph.json

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

effect vs the saved report; 2 if it can't evaluate

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;

a baseline from a DIFFERENT build ⇒ disclosed ⚠ + exit 0)

node query.mjs gate --report dep/.candor/report.json --policy arch.policy --gate-json -

⟨0.24⟩ apply a policy to an EXISTING report, NO scan

(exit 0/1/2) — the supply-chain verb: gate a

DEPENDENCY's published report without its source.

Reads that report and nothing else; a rule the wire

cannot answer (forbid, allow, a class-scoped

deny with the scoping field absent) is REFUSED

with exit 2, never evaluated on partial evidence.

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.

MCP server — candor as agent ground truth

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

Solo se muestra el principio; lee el resto en el repo

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