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

knock

de HasanGilaniversión 0.2.0i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.HasanGilani/knock

Instalar

Resumen

Descripción del creador (original en inglés)

Code map and memory for AI coding agents: key functions, line ranges, callers, why code changed.

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: Búsqueda y memoria de IA

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": {
    "knock": {
      "command": "uvx",
      "args": [
        "knock-mcp",
        "serve",
        "--repo",
        ".",
        "--toolset",
        "map"
      ]
    }
  }
}

Ejecuta esto en tu terminal

claude mcp add knock -- uvx knock-mcp serve --repo . --toolset map

Abrir en Cursor

O copia la configuración tú

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

{
  "mcpServers": {
    "knock": {
      "command": "uvx",
      "args": [
        "knock-mcp",
        "serve",
        "--repo",
        ".",
        "--toolset",
        "map"
      ]
    }
  }
}

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": {
    "knock": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "knock-mcp",
        "serve",
        "--repo",
        ".",
        "--toolset",
        "map"
      ]
    }
  }
}

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 HasanGilani, 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 Búsqueda y memoria de IAi

  • Más estrellas que el 0% de los otros 7251 servidores de esta categoría
  • Publicado en el registro más recientemente que el 90% de los otros 7251 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 7251 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 knock?

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 (0.2.0) 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 Python (uv) en tu computadora.

¿Qué puedo usar en su lugar?

En la misma categoría: Context7, Codebase Memory, Exa

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

Context7

de upstash

Up-to-date docs for AI agents

Computadora o nube★ 64.224MITActualizado hoy
Instalar

Codebase Memory

de DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Se ejecuta en tu computadora★ 48.148MITActualizado hace 20 días
Instalar

Exa

de exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Se ejecuta en la nube★ 5213MITActualizado el mes pasado
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.

🚪 knock

Stop Claude Code from burning your usage limit on big repos.

On a large codebase, Claude Code spends much of each session searching and reading files, often through a sub-agent, before it answers you. knock gives it a map of the code up front: the functions that matter, their exact line ranges, and who calls what. It runs on your machine and needs no API key.

Same question, 8 runs each, on a 4,776-file repo: median cost $0.42 → $0.25 (−40%). Without knock, Claude spawned a sub-agent in 5 of 8 runs. With knock, in none.

claude mcp add knock -- uvx knock-mcp serve --repo . --toolset map

Full code map for Python and JavaScript/TypeScript; functions and classes for Go, Rust, Java and more.

Two real Claude Code sessions on Saleor , abridged: each side's median-cost run out of three. Results vary between runs and repositories; on a small, well-known repo the difference was within noise. Full numbers: docs/benchmark.md · how it was measured: the write-up .


🤔 The problem, in one table

Every new chat with a coding agent starts with amnesia. To answer *"where is X?"* or *"how do we deploy?"* it greps, opens big files, reads them... and next session it does it all over again.

😩 Without knock😎 With knock
First movegrep around, open whole files, or spawn a sub-agent to exploreone map call: the relevant code as a skeleton with exact line ranges
Text the agent reads~27,000–118,000 characters per question~4,300 characters per question
Finds "why did we do it this way?"only if it opens the right docdecisions and their rationale come back with the answer
Remembers yesterday's bug hunt❌✅ agents save findings with remember
Knows when its notes are outdated—✅ every answer says fresh or stale

Median characters per task on the held-out benchmark (targeted-grep and grep-and-read baselines vs knock). Fewer characters ≠ an identical cut in your bill; see the FAQ .

⚡ Getting started

You set knock up once, then you just keep using your AI agent as usual. The agent talks to knock in the background; you never have to run knock commands day to day.

1️⃣ Connect it to Claude Code (once per project)

From inside the project you work on:

claude mcp add knock -- uvx knock-mcp serve --repo . --toolset map

This uses uv, which downloads and runs knock for you. No uv? Run pipx install knock-mcp (or pip install knock-mcp), then claude mcp add knock -- knock serve --repo . --toolset map.

--toolset map gives the agent three tools (map, open, remember) and is the setup measured in the results below. Leave it out to get the original eight tools.

That's the whole setup. The next time you open Claude Code in that project, knock reads the project and builds its notes automatically. This takes a few seconds for a small project and a minute or two for about 5,000 files; after that it only re-reads files that changed.

[!TIP]

Add this line to your project's CLAUDE.md so the agent uses knock when it pays off:

*"Before exploring the repo (how/why questions, unclear bugs, changes across modules, code you can't find with one search), call knock's map tool with your task. For small edits you can locate with one grep, skip it. Save non-obvious findings with remember."*

In our recordings, knock saved money on investigations in a large codebase but added a small cost to quick edits, so this line matters.

2️⃣ Work normally

Ask your agent what you'd always ask. Here's what changes behind the scenes:

You typeWhat the agent does
*"Add rate limiting to the login endpoint"*asks knock first and gets the login handler's file:line, your middleware conventions and the test setup, then opens only those lines
*"Why do we use Postgres instead of Mongo?"*gets the decision and its reasoning from your docs or ADRs, with a link to the source
*"Tests fail with a Redis error, any idea?"*finds the finding a previous session saved: *"login tests need Redis running"*
*(after it figures something out)*saves it with remember, so tomorrow's session already knows

Nothing to maintain: when code changes, knock updates its notes, and flags anything that may be outdated.

🖥️ Optional: use knock yourself from the terminal

You never *need* these, but they're handy.

CommandWhen you'd use it
knock map "where are expired checkouts cleaned up?"see the same code map your agent gets
knock open SomeClass.methodexact code for a symbol, with its callers and callees
knock context "how do we deploy?"ask a question yourself, e.g. when onboarding onto an unfamiliar repo
knock search "rate limit"look up what knock knows about a topic
knock statuscheck how fresh the notes are and how much knock knows
knock index .update the notes right now; your agent normally does this for you
knock index . --fullrebuild everything from scratch after a huge refactor
knock forget . --yesdelete everything knock stored about this project

Want knock to ignore some files? List them in a .knockignore file (same format as .gitignore).

👥 Setting it up for a whole team

Commit a .mcp.json file to your repo, and every teammate's Claude Code picks up knock automatically (each person needs knock installed):

{

"mcpServers": { "knock": { "command": "knock", "args": ["serve", "--repo", ".", "--toolset", "map"] } } }

Each person's notes live on their own machine. Sharing findings across a team isn't supported yet (see Status below).

🧠 How it works

flowchart LR

A["📁 Your repo code · docs · configs · git log"] -->|"knock index (only changed files)"| B["🗂️ Notes each one points to file + lines + hash"] B --> C[("💾 SQLite on your machine")] C -->|"map"| D["🤖 Your agent"] D -->|"open / Read (verify the real lines)"| A D -->|"remember (save what it learned)"| C

  1. Index: knock reads your repo *without running anything in it*. It writes short notes: what each module defines, what the docs say about setup and deployment, which tools and dependencies you use, why decisions were made, and which recent commits fixed bugs.
  2. Ask: your agent asks a question and gets a small, ranked answer with file:line pointers, instead of reading whole files.
  3. Verify: before editing, the agent reads just the lines it needs. The original files are always the source of truth.
  4. Remember: the agent saves what it learned. If those files change later, knock marks the note stale so nobody trusts outdated info.

🧰 What your agent gets

With --toolset map (recommended):

ToolWhat it does
map🗺️Use when you'd otherwise explore. The code relevant to a task as a skeleton: signatures, exact line ranges, what each function uses and catches, who calls it; plus the history behind it and the docs that matter. For change requests, a lighter version with the exact range to read and existing code to copy.
open📄Exact, line-numbered code for a function or class with its callers and callees, a line range, or a file's skeleton
remember✍️Save a finding for future sessions; it's flagged automatically when the cited files change

The original 8-tool set (default without --toolset map )

ToolWhat it does
get_context🔎Start here when you'd otherwise explore. A ranked package for a task: notes, functions with file:line, files worth opening, related commits, and honest "nothing known about X" gaps
search_knowledge📚Search notes, filtered by category (architecture, decision, workflow, …) or folder
get_knowledge🧾One note with full provenance: where it came from, when, and whether it is still current
get_source📄Read real lines from a file, with secrets redacted. Only files knock indexed
record_knowledge✍️Save a finding; duplicates are merged, contradictions flagged
update_knowledge_status✅Mark a note verified, or wrong
get_repository_status🩺How fresh the index is, plus counts and stats
refresh_repository🔄Re-index changed files (takes milliseconds, no AI calls)

👀 See a real example session (8-tool set, Flask)

On Flask, an agent is told: *"sessions signed with an old key in SECRET_KEY_FALLBACKS are rejected after rotating SECRET_KEY"*.

  1. `get_context` returns ~7.7 KB containing:
  • src/flask/sessions.py:317: SecureCookieSessionInterface.get_signing_serializer
  • tests/test_basic.py:374: test_session_secret_key_fallbacks
  • related commits fb54159861 secret key rotation: fix key list ordering and e13373f838 enable secret key rotation
  • the docs sections on sessions and secret keys
  1. `get_source("src/flask/sessions.py", symbol="get_signing_serializer")` returns the ~80 relevant lines, not the whole file.
  2. `record_knowledge` saves the finding:
   {"category": "debugging",

"content": "get_signing_serializer builds the key list as SECRET_KEY_FALLBACKS followed by SECRET_KEY; ordering was fixed in fb54159.", "sources": [{"path": "src/flask/sessions.py", "start_line": 317, "end_line": 335}]}

   The next session gets it instantly. If `sessions.py` changes, the note is flagged **stale**.

📊 Does it actually help?

Measured with a reproducible benchmark: 12 engineering tasks per repo, covering architecture, finding a feature, deployment, bug investigation, design rationale and following conventions.

Held-out repo (full-stack-fastapi-template; knock was never tuned on it):

ApproachFound the needed factsCharacters readTool calls
🐢 grep + read 3 files9 / 121,215,57072
🐇 targeted grep + read snippets7 / 12328,20660
🚪 knock10 / 1288,96217

More numbers, and the fine print

  • Flask (used during development, so optimistic): knock 12/12 with 92K chars, baselines 7/12 with 2.1M and 247K chars.
  • Speed: a ~200-file repo indexes in 0.3–0.6 s; re-indexing with no changes takes ~30 ms.
  • What this measures: whether the facts

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

Pregunta a PopNx