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Rarefaction

de ip2kversión 0.4.2i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.ip2k/rarefaction-lsp-mcp

Instalar

Resumen

Descripción del creador (original en inglés)

LSP call graph for coding agents: a symbol's callers, callees, tests and live files in one call.

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": {
    "rarefaction-lsp": {
      "command": "npx",
      "args": [
        "-y",
        "rarefaction-lsp-mcp"
      ]
    }
  }
}

Ejecuta esto en tu terminal

claude mcp add rarefaction-lsp -- npx -y rarefaction-lsp-mcp

Abrir en Cursor

O copia la configuración tú

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

{
  "mcpServers": {
    "rarefaction-lsp": {
      "command": "npx",
      "args": [
        "-y",
        "rarefaction-lsp-mcp"
      ]
    }
  }
}

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": {
    "rarefaction-lsp": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "rarefaction-lsp-mcp"
      ]
    }
  }
}

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 7 nov 2026

  • ✓ Superada

    El creador coincide con el repo

    El nombre en el registro se verificó con la cuenta de GitHub ip2k, 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 32572 servidores de esta categoría
  • Publicado en el registro más recientemente que el 69% de los otros 32572 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 32572 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 Rarefaction?

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 (0.4.2) llegó al registro hace 17 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, AvaHR

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

AvaHR

de avahr.com

Read hiring data and create inactive assessment and questionnaire drafts for human review.

Se ejecuta en la 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.

Rarefaction — LSP call graph MCP server for AI coding agents

Rarefaction is a Model Context Protocol (MCP) server that gives a coding agent the call graph and code context for one symbol straight from the project's language server (Language Server Protocol, LSP). Ask about a function, method or type and get, in one call: its signature and doc, its body, who calls it (tests marked), what it calls, who implements it, the tests that reach it and the short list of files a change can affect. The agent reads that instead of opening whole files and grepping, which keeps its context window small and spends fewer tokens on exploration.

Works with Claude Code, Codex and any MCP client over stdio. Profiles cover Swift, Rust, C/C++, TypeScript/JavaScript, Python and WebAssembly text (WAT).

Run against the bundled TypeScript fixture (fixtures/SampleTypeScript):

# scale — engine.ts:2:17
function scale(value: number): number

Double one input sample.

Callers (2, 1 in tests)

  • render — render.ts:2 (calls at 3)
  • · testScale — engine.test.ts:2 (calls at 3) [test]

Tests that reach it (1)

  • testScale — engine.test.ts:2

Run only these:

npm test -- "engine.test.ts"

Live files (3 of 3)

  • engine.test.ts
  • engine.ts
  • render.ts

_11 LSP requests, 6430 ms (includes language-server cold start); index on-open_

Once the language server has indexed, a call takes a fraction of a second (median 80 ms on ripgrep, 220 ms on the 800-file IronRDP workspace); the server's cold start, 6–16 s on those projects, is paid once per session.

What it helps with

  • Reducing token usage in AI coding agents. One bounded answer replaces several whole-file reads and searches. Measured on 50 real commits in ripgrep and IronRDP, the answer was a median 6–7% of the bytes of reading the files it names once. How much that saves in a whole agent session is not measured yet; see docs/measurement.md, including where the live set falls short.
  • Call graph and impact analysis. "What calls this function, and what would break if I change it?" By default two levels of callers and one of callees, plus implementations and type hierarchy, each bounded and marked when truncated.
  • Choosing which tests to run. Tests that reach the symbol, with a "run only these" command for the project's test runner.
  • Orientation in an unfamiliar codebase. Bare names, qualified names or exact path:line:column positions; ambiguity comes back as a list of exact positions rather than a guess.
  • Honest answers about coverage. Stale indexes, servers still indexing and servers without call hierarchy are reported in the answer, not hidden.

Why an MCP server for LSP call graphs

Language servers already know the call graph precisely — that is what "find references" and "call hierarchy" are. Editors and LSP tools expose them one hop at a time, so an agent pays a tool call and a round of context per hop. An agent needs the *closure*: everything within a couple of hops, filtered to the project, with the tests picked out, small enough to read in one go. That composition is what this server does. It is deliberately language-agnostic: the core speaks LSP and nothing else, and everything a language needs is a small profile.

How it relates to nearby tools:

approachwhat the agent gets
reading files and grepwhole files; text matches, not calls
per-request LSP tools (definition, references, call hierarchy)precise answers, one hop per tool call
Serenasymbol navigation and semantic editing over LSP; works well alongside this
Rarefactionthe bounded multi-hop call graph, tests and live files for one symbol in one call

Install

Requires Node 22.22.2 or later; used on macOS and Linux (CI runs on Ubuntu), untested on Windows. The TypeScript and Python language servers are bundled. Install the others you need and put them on the PATH your client launches with — see Languages and configuration. Swift needs macOS with Xcode (or a Swift toolchain with sourcekit-lsp).

As a plugin (Claude Code and Codex)

The plugin bundles the server, launched with npx -y rarefaction-lsp-mcp, and an orient-first skill that tells the agent to call status and orient before reading whole files, and scope before editing.

# Claude Code

claude plugin install rarefaction --marketplace ip2k/rarefaction

Codex

codex plugin marketplace add ip2k/rarefaction codex plugin add rarefaction@rarefaction

In a Claude Code session, /plugin install rarefaction --marketplace ip2k/rarefaction does the same. Restart or reconnect the session afterwards.

As an MCP server
claude mcp add --scope user --transport stdio rarefaction -- npx -y rarefaction-lsp-mcp

codex mcp add rarefaction -- npx -y rarefaction-lsp-mcp

Add --env PATH="$HOME/.local/bin:$HOME/.cargo/bin:$PATH" before the -- if rust-analyzer or wat_server live outside the client's PATH. The tools are status, orient and scope (in Claude Code, mcp__rarefaction__status, mcp__rarefaction__orient and mcp__rarefaction__scope); all three are read-only, so you can allow them in your permissions to avoid repeated prompts. For Codex, give the first index time in ~/.codex/config.toml:

[mcp_servers.rarefaction]

startup_timeout_sec = 20 tool_timeout_sec = 180

The server takes --root and --profile . Explicit --root takes precedence over Claude Code's CLAUDE_PROJECT_DIR, then the working directory. Leave both unset in a user-wide registration so every project can use all supported profiles. See the MCP documentation for Claude Code and Codex.

From a clone

To run your own changes, build and register the compiled entry instead:

git clone https://github.com/ip2k/rarefaction.git

cd rarefaction npm ci && npm run build claude mcp add --scope user --transport stdio rarefaction -- "$(command -v node)" "$PWD/dist/index.js"

Rebuild after changing the server, then restart or reconnect (/mcp) the client session.

Check it works

Start a new chat in a project and ask the agent to call status, then orient on a symbol you know. status.root should match the project and the selected entry in status.profiles should have ok: true. One registration serves all supported languages; each language server starts lazily.

Agent guidance

The plugin's skill covers this. Without the plugin, add this to ~/.claude/CLAUDE.md, AGENTS.md or a project instruction file:

Use rarefaction's status tool once in a new project, then orient on the

relevant symbol before reading whole files, and scope on a symbol before

editing it (advisory: also look outside the files it lists). In mixed

repositories pass profile or a workspace-relative path:line:column, and

pass project for a nested package that is not a workspace member. Start

with the default graph bounds; expand only when necessary. Follow freshness

and coverage advice, and inspect FFI/generated bindings separately when

relevant.

Xcode projects

Xcode projects need a build-server config so sourcekit-lsp gets compiler flags (SwiftPM packages need nothing):

brew install xcode-build-server

cd /path/to/App && xcode-build-server config -project App.xcodeproj -scheme App echo buildServer.json >> .gitignore

Then build once in Xcode or with xcodebuild; the index is only as fresh as the last build, and orient says so when a source file is newer. Saved source edits are sent to open LSP documents before later queries, but Xcode projects still need a new build to refresh their cross-file index.

Tools

toolwhat
orient{symbol, profile?, project?, up?, down?, max_nodes?, include_body?, max_body_lines?} — the bundle above. symbol may be updateLocation, Engine.updateLocation, or path/File.swift:204:10. Ambiguous names come back as an error listing exact positions.
scope{symbol, profile?, project?, up?, down?, max_nodes?} — the working set for a change to that symbol: the call-graph files from orient plus files that have historically changed in the same commits as the symbol's file or the call-graph files (from git history), each with its reason. Advisory: it lists what to read and check, not what is safe to ignore (measured coverage).
status{profile?, project?} — what the server can see: the profile inventory and which one is selected, prerequisites such as a build-server config, index freshness, and which LSP features the server offers. Call this first if orient finds nothing.

Planned: impacted_tests (the upward walk restricted to tests, as a runnable selection).

Languages and configuration

ProfileLanguage serverPrerequisites / scope
swiftsourcekit-lspXcode or a Swift toolchain; SwiftPM, or Xcode with a build-server config
rustrust-analyzerCargo.toml or rust-project.json; embedded/no_std/Wasm target settings supported; a project that pins a toolchain needs rustup component add rust-analyzer --toolchain (status says so)
cclangdC/C++; compile_commands.json or compile_flags.txt for accurate include paths and defines
typescripttypescript-language-serverTypeScript/JavaScript, TSX/JSX; server and TypeScript bundled as dependencies
pythonPyrightPython and stubs; bundled; configure interpreter/import paths for your environment
wasmwat_serverWebAssembly .wat text; install the prebuilt server on PATH

The server probes each language server's capabilities. When call hierarchy is absent, orient reports references and enclosing symbols, without claiming those references are calls. Native Rust/C sources compiled to WebAssembly use rust/c; .wasm binaries need disassembly to .wat. WAST test scripts, vendor assembly, indirect runtime dispatch and cross-language FFI edges are not indexed as a unified graph.

Optional .rarefaction.json in the workspace root configures each profile. Paths in project, profile root, and relative position queries are relative to that workspace. A position query without project is answered from the outermost Cargo w

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

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