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PopNx MCPServidores MCP para quienes usan IA · explicados con palabras sencillas

Sinter

de shellfuversión 0.61.0i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.shellfu/sinter

Instalar

Resumen

Descripción del creador (original en inglés)

Persistent, evidence-backed code graph for coding agents.

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

  • PyPIuv de Python instalado (para el comando uvx)

¿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": {
    "sinter": {
      "command": "uvx",
      "args": [
        "sinter-io",
        "sinter",
        "serve",
        "--repo",
        "."
      ]
    }
  }
}

Ejecuta esto en tu terminal

claude mcp add sinter -- uvx sinter-io sinter serve --repo .

Abrir en Cursor

O copia la configuración tú

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

{
  "mcpServers": {
    "sinter": {
      "command": "uvx",
      "args": [
        "sinter-io",
        "sinter",
        "serve",
        "--repo",
        "."
      ]
    }
  }
}

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": {
    "sinter": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "sinter-io",
        "sinter",
        "serve",
        "--repo",
        "."
      ]
    }
  }
}

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.

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 6 nov 2026

  • ✓ Superada

    El creador coincide con el repo

    El nombre en el registro se verificó con la cuenta de GitHub shellfu, 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 32433 servidores de esta categoría
  • Publicado en el registro más recientemente que el 39% de los otros 32433 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 32433 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 Sinter?

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 (0.61.0) llegó al registro hace 2 meses.

¿Qué apps pueden usarlo?

Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Python (uv) en tu computadora.

¿Qué puedo usar en su lugar?

En la misma categoría: Spec Driven Development, Remote Desktop Commander, Symantec Cloud DLP AIops

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 ayer
Instalar

Governed Symantec Cloud DLP — 14 MCP tools, read-only with audit.

Se ejecuta en tu computadoraActualizado 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.

sinter

A local code knowledge graph for coding agents, shipped as one static binary. sinter builds a typed, directed graph of a repository's symbols with tree-sitter and keeps it fresh incrementally. Start in an unfamiliar repository with sinter map: it returns a bounded structural inventory with module node/file counts, dependency hubs measured by graph in-degree, documentation entry points, and graph-health limitations. It does not infer runtime entry points or domain ownership. Then use the graph for focused work:

  • Reverse blast radius — what transitively depends on a symbol, cross-file and cross-language (sinter affected). Traversal stops at hubs and names them; test dependents are counted, not listed, unless asked for.
  • Paths — how one symbol reaches another (sinter path).
  • Diff impact — which symbols and tests a changeset can affect (sinter impact), plus --expect for the unfinished-refactor check: direct dependents of a symbol the diff did not touch.
  • Bounded text search — a regex search whose corpus is a graph traversal (sinter grep ' ' --within 'affected( )'), replacing the run-affected-then-grep-the-files pipeline.
  • Polyglot, zero setup — syntax-only graphs work without an LSP. When the syntax provides the necessary type information, sinter resolves self receivers, locally typed receivers, typed fields, and explicit static/class calls. Complete receiver-call binding often requires a fresh SCIP index; zero setup is not compiler-complete resolution.
  • Calibrated lexical navigation — sinter ask ranks content-bearing starting points from names, docs, paths, signatures, string literals, and limited call evidence. Its confidence line reflects the evidence class of the top hit; --explain adds the ranking-margin bucket and that bucket's holdout count with a 95% interval (the holdout is 46 cases, so the interval is wide). The bucket is not a per-result probability; ask is a navigator, not a semantic answer engine.
  • Symbol orientation — sinter show turns a selected symbol into a compact card with its definition (attributes included) and a one-line used-by tally; --body adds the source (whole when it fits in 60 lines, else up to the byte budget), --impls the type's impl blocks, and show @file:line names the enclosing symbol. A span over 8 KB or 200 lines is a black hole no body dump can show: the card outlines it instead, listing the nested definitions, literal branches and command literals inside it with their line numbers (--outline forces it).
  • Task evidence packet — sinter context " " resolves identifiers in the task against real node names (fuzzy when needed, shown as term ~> symbol) and seeds from them, returning edit candidates, string literals and hand-maintained mirrors that mention the task's terms, and affected tests as runnable commands with the symbol that reached each. It never abstains while it has hits. Add --workspace to rank candidates across declared member repositories in one packet.
  • Snapshot-scoped assertions — sinter assert no-callers checks depth-one call edges in an explicit corpus scope. Its decision is one of violated, holds_for_indexed_snapshot, or not_proven; it never claims runtime exhaustiveness. sinter assert deletable tallies every depth-one dependent across all scopes, grouped by scope.
  • Citation maintenance — sinter cite emits a Markdown location with a stable symbol key. sinter verify-doc re-resolves managed citations and fails on moved, missing, invalid, or identity-free references.
  • [Cross-repo workspaces](docs/workspaces.md) — federated graphs over many repos for distributed systems: blast radius, paths, and PR impact across service boundaries (--workspace).

The design rule underneath everything: evidence or nothing. An edge exists only when structural, scope, import, or compiler (SCIP) evidence binds a reference to a definition (workspace manifests may add operator-declared cross-repo links, and Rust trait impls add labeled dynamic dispatch fan-out so blast radius survives dyn Trait). Ambiguity resolves to nothing — "unresolved" is a first-class, counted outcome, never a guess. Every edge carries its evidence kind, and every query can filter on it. Be clear about what that buys without a compiler: syntax-only evidence binds names it can prove by scope and imports and leaves the rest (receiver calls, re-exports, macros) unresolved, so the zero-setup graph is a precise subset, not the full graph. sinter scip closes that gap where a compiler index is available.

Install

Package managers:

cargo install sinter-io        # or: cargo binstall sinter-io (prebuilt)

uv tool install sinter-io # or: pipx install sinter-io brew install shellfu/tap/sinter

All of them put a binary named sinter on PATH. Or the one-liner, no dependencies (Linux and macOS; verifies the release checksum, installs to ~/.local/bin):

curl -fsSL https://raw.githubusercontent.com/shellfu/sinter/main/scripts/install.sh | sh

Windows, in PowerShell (new and less battle-tested; verifies the release checksum, installs to %LOCALAPPDATA%\sinter\bin):

irm https://raw.githubusercontent.com/shellfu/sinter/main/scripts/install.ps1 | iex

To verify a manually downloaded release asset against its GitHub build provenance attestation (requires the gh CLI):

gh attestation verify sinter-<target>.tar.gz --owner shellfu

PyPI wheels carry sigstore provenance via Trusted Publishing. Once installed, sinter update self-updates from GitHub releases.

Or build from source (requires a Rust toolchain):

cargo build --release

Quickstart

Agents that only need a usable local graph should create derived state without installing hooks or editing client configuration:

sinter ensure /path/to/repo

This command only builds or refreshes .sinter/. It is safe to run within a read-oriented coding flow.

Onboard a repository — builds the graph, installs git hooks, registers agent integration (AGENTS.md block, MCP), and finishes with a doctor report:

./target/release/sinter init /path/to/repo

Init prints everything it is about to write, grouped by scope, and asks once before writing any of it (-y skips the prompt; a non-interactive run prints the plan and proceeds). Every write lands inside the repo — nothing under ~/.claude is touched unless --global is passed, which adds the machine-wide skill card and enforcement hooks. Both init and ensure append .sinter/ to the root .gitignore when the repository is a git worktree and no existing line covers it.

Repo-local Claude hooks use bounded strict enforcement: the first broad recursive search in a session is redirected to Sinter, while a retry is allowed with a fallback-search reminder. Machine-wide hooks installed by --global remain advisory.

On a terminal, init asks before running compiler indexers (sinter scip) because those toolchains execute repository build scripts; pass --scip or --no-scip to answer up front (non-interactive init skips them).

After that, every query self-syncs at the query boundary — when nothing changed, the sync is a stat-only walk (no file reads, no write transactions) — and the git hooks refresh eagerly on commit; sinter build stays available for CI and scripting. Commands also work from any subdirectory, discovering the graph root the way git does. The build report distinguishes the heuristic's anchored miss rate from compiler-relative accuracy. The anchored rate is useful without SCIP but is not recall: the heuristic can classify a compiler-resolvable reference as external.

resolution (this pass): ... resolved (scip 0, import 118, scope 189), ... unresolved (105 internal, 3193 external)

anchored miss rate (this pass): 25.5% (heuristic classification, not compiler-relative recall)

When a SCIP index is present, the report also prints the compiler cross-check (what share of internally-bound refs agree with the compiler) and internal recall vs the compiler (how many compiler-bound refs sinter found without SCIP). Files edited since the index was built get no SCIP evidence at all — their references fall back to import and scope resolution rather than being rebound by byte position — so a stale index never attributes a call to a name that no longer sits on that line. Files the grammar could only parse partially are counted in one build line (N parsed partially (M symbols in them; …)); sinter doctor --verbose lists them.

Orient before searching so the next query uses the repository's own module and symbol vocabulary:

sinter map /path/to/repo

The map is the first-pass inventory. Use ask next when the target is still a concept rather than a known symbol.

Ask a question against the graph (output shown for this repository):

$ sinter ask "where is the trigram search"
  1. function Store::search [doc+name+path+sig 2/2 terms] crates/sinter-store/src/search.rs:148 /// Fuzzy candidates: nodes sharing the most trigrams with the query, pub fn search(&self, query: &str, limit: usize) -> Result , StoreError>

ask is a calibrated lexical navigator, so treat its hits as places to inspect rather than generated answers. Every hit shows its match provenance and the text card carries one confidence line (confidence: high — verify top hit) rated from the top hit's evidence; a weak top hit is unrated. String literals that match the question are listed after the symbol hits, and fixture, example, and test-local definitions rank below production ones with the same evidence. Agent JSON groups results by topic under one strict result budget and keeps each hit lean: rank, name, kind, file, line, signature, doc, matched terms, channels, and a one-word confidence. --explain (text or JSON) adds the ranking margin, query-term coverage, the named holdout calibration, and per-hit scores. Query terms expand through a small synonym table (cap, limit, budget; size, bytes; caller, dependent) at reduced weight, so a literal match always outranks a synonym. Weak singletons, low term coverage, and undersampled ranking-margin buckets abstain. CLI JSON and MCP structuredContent.data use the same payload.

Every affected, deps, and path response is deliberately bounded. deps defaults to depth 1 (--max-depth widens). affected stops at hubs (fan-in over 100, or a seed with more than 50 direct callers) and says so (stopped at hub Store (fan-in 114); --through-hubs to continue). Both count test-scope rows instead of listing them (--include-tests), and --relations calls,uses drops file-level import rows. path -k N returns up to N node-disjoint routes; a miss prints the closest frontier, the edges the filter excluded, reason: filter_excluded when a filter caused it, and a retry to run. In --json, positive and negative answers carry a coverage summary (completeness, conclusive, snapshot, compiler-index state); --coverage restores the repository-wide block with evidence sources, certain and possible result counts, unresolved-reference counts, and explicit gaps. The universe field names the repository root or every declared workspace member searched. completeness describes only the indexed snapshot and conclusive remains false, so agents do not turn a non-empty syntax-only result into an exhaustive claim.

Agent-facing node id values are stable symbol keys and survive unrelated offset shifts. snapshot_id retains the byte-exact locator for the reported snapshot. Handle-consuming operations accept if_snapshot and return typed stale-snapshot, relocated-handle, or ambiguous-candidate outcomes instead of silently rebinding. A

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

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