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PopNx MCPMCP servers for people who use AI · explained in plain words

Memorybank

by maxweb4uversion 0.3.2i★ 0iRuns on your computer
Registry nameio.github.maxweb4u/memorybank

How to install

What it does

Seeds, governs and navigates a memory_bank knowledge base: gated writes, routing, drift vs code

  • Connects Runs on your computer
  • Account or key No key needed
  • Category Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Passed 3/3 checks · Runs on your computer · ✓ Commands checked Nov 14, 2026

First: which AI do you use?

Pick your app and the steps appear below.

Works with Claude, with some setup first

Install Node.js on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone

  1. Install Node.js

    One time only; it works for every server that needs Node.js

    Open the Node.js download page ↗

  2. Open the Claude desktop app’s settings file

    SettingsDeveloperEdit Config

  3. Paste these settings and save the file

    {
      "mcpServers": {
        "memorybank": {
          "command": "npx",
          "args": [
            "-y",
            "@maxweb4u/mcp-memorybank",
            "--root",
            "<./memory_bank>"
          ]
        }
      }
    }
  4. Quit Claude and open it again

  5. Try it

    Use Memorybank and tell me what you can do for me, then show me one thing

    ✓ If Claude says it is using Memorybank or shows a Memorybank tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

ChatGPT cannot connect Memorybank yet

Memorybank runs on your computer, but ChatGPT can only connect servers that run on the web

What you can do instead

A · Use an app that can connect Memorybank

  • Install Node.js on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
  • Install Node.js on your computer first (one time)
  • Install Node.js on your computer first (one time) · No one-click button: paste the settings and fill in the values yourself
  • Install Node.js on your computer first (one time) · No one-click button: paste the settings and fill in the values yourself

B · Others in Search & AI memory that work with ChatGPT

Picked from the most used in the same category, only ones that connect by address with no key

Works with Claude Code, with some setup first

Install Node.js on your computer first (one time)

  1. Install Node.js

    One time only; it works for every server that needs Node.js

    Open the Node.js download page ↗

  2. Open Terminal

    Mac: press Command+Space and type Terminal · Windows: open PowerShell

  3. Paste this command and press Enter

    claude mcp add --scope user memorybank -- npx -y @maxweb4u/mcp-memorybank --root '<./memory_bank>'
  4. Type /mcp in Claude Code

    You should see Memorybank listed as connected

  5. Try it

    Use Memorybank and tell me what you can do for me, then show me one thing

    ✓ If Claude Code says it is using Memorybank or shows a Memorybank tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with Cursor, with some setup first

Install Node.js on your computer first (one time) · No one-click button: paste the settings and fill in the values yourself

  1. Install Node.js

    One time only; it works for every server that needs Node.js

    Open the Node.js download page ↗

  2. Open Cursor’s MCP settings file

    ~/.cursor/mcp.json

    Paste these settings, fill in the empty values and save

    {
      "mcpServers": {
        "memorybank": {
          "command": "npx",
          "args": [
            "-y",
            "@maxweb4u/mcp-memorybank",
            "--root",
            "<./memory_bank>"
          ]
        }
      }
    }
  3. Open the AI chat in Cursor in Agent mode

  4. Try it

    Use Memorybank and tell me what you can do for me, then show me one thing

    ✓ If Cursor says it is using Memorybank or shows a Memorybank tool in the answer, you are connected

Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with VS Code, with some setup first

Install Node.js on your computer first (one time) · No one-click button: paste the settings and fill in the values yourself

  1. Install Node.js

    One time only; it works for every server that needs Node.js

    Open the Node.js download page ↗

  2. Open VS Code’s MCP settings file

    MCP: Open User Configuration

    Paste these settings, fill in the empty values and save

    {
      "servers": {
        "memorybank": {
          "type": "stdio",
          "command": "npx",
          "args": [
            "-y",
            "@maxweb4u/mcp-memorybank",
            "--root",
            "<./memory_bank>"
          ]
        }
      }
    }
  3. Open the AI chat in VS Code in Agent mode

  4. Try it

    Use Memorybank and tell me what you can do for me, then show me one thing

    ✓ If VS Code says it is using Memorybank or shows a Memorybank tool in the answer, you are connected

Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.

See every app that uses MCP →

JSON settings are under “For developers” below

Stuck? Ask people who use Memorybank💬 Discussion →
For developers: Terminal commands and JSON settings

Installed on your computer

Claude Code

claude mcp add --scope user memorybank -- npx -y @maxweb4u/mcp-memorybank --root '<./memory_bank>'

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "memorybank": {
      "command": "npx",
      "args": [
        "-y",
        "@maxweb4u/mcp-memorybank",
        "--root",
        "<./memory_bank>"
      ]
    }
  }
}

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "memorybank": {
      "command": "npx",
      "args": [
        "-y",
        "@maxweb4u/mcp-memorybank",
        "--root",
        "<./memory_bank>"
      ]
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "memorybank": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@maxweb4u/mcp-memorybank",
        "--root",
        "<./memory_bank>"
      ]
    }
  }
}

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

At a glance

Downloads per weeki
76/wk
Connection
Runs on your computer
Latest versioni
0.3.2
Published to registryi
Sep 29, 2026
Code last changedi
Sep 29, 2026
Maker
maxweb4u
Packages
npm: @maxweb4u/mcp-memorybank
Registry status
Active

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Run on your computer in

ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast

All apps, with pros and cons →

Related guides

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 14, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account maxweb4u, which owns the repo

  • ✓ Pass

    Still maintained

    Code last changed 2 months ago

  • ✓ Pass

    Has a licence

    Uses MIT

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Discussion

Ask, share a tip or report that it does not work. Sorted by what people marked helpful.

No posts yet. Be the first to ask or share.

Posts here are written by users, not the PopNx team.

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User reviews

No reviews yet

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Compared with others in Search & AI memoryi

  • More stars than 0% of the other 6109 servers in this category
  • Published to the registry more recently than 45% of the other 6109 servers in this category
  • Basic checks equal to or better than 100% of the other 6109 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Memorybank safe?

It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed 2 months ago, and the latest version (0.3.2) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, OpenSEO

Others in the same category

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

by upstashWidely used↓ 1.2M/wk★ 64.8KUpdated 2 days ago

Computer or cloud

Codebase Memory

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

by DeusDataWidely used↓ 16.8K/wk★ 48.6KUpdated 28 days ago

Runs on your computer

OpenSEO

Keyword research, site audits, rank tracking and AI visibility for your AI agent.

by every-appWidely used★ 27.6KUpdated today

Runs in the cloud✓ everyapp.com

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

mcp-memorybank

An MCP server for a memory_bank knowledge base. It seeds one from nothing, gates every write against the rules the bank itself declares, routes to the right document without reading the bank, and reports where the code has moved on without the documents.

It writes nothing on its own initiative. Every document arrives from a deliberate call carrying a purpose, an upstream dependency and an index entry; what the end-of-session hook collects lands in a quarantine that only a human empties.

Spec — specification.md, plan — implementation-plan.md, what a seeded bank is made of and where it strains — architecture.md.

Everything in the plan is done: E0 index, E1 reads, E2 validation, E3 graph, E4 search and delta, E5 writes.

What it is measurably good at, and what it is not

Counted across six banks in real use, by parsing the sessions rather than by impression:

writing into the bank, through the server     985 calls

reading the bank, through the server 187 calls reading the bank, around the server 1755 calls (cat, grep, Read) bank_route specifically 33 calls

The writing half works. bank_create, bank_edit and bank_update_section are used in every bank, with or without any instruction to do so, because writing a governed document by hand is harder than calling the tool: it would have to reproduce the frontmatter, resolve the derived_from, and register itself in a section index, and it would fail validation if it got any of that wrong. Ninety percent of all server calls are writes.

The reading half is mostly bypassed. Nine times out of ten an agent opens the bank with cat and grep instead of asking bank_route which documents matter. This is not a claim that routing answers badly — nobody has measured that. It is a claim that it does not get asked, because reaching for the shell is what a model does in every repository and nothing here outweighs the habit.

Two things follow, and neither is comfortable. Routing is the feature this README leads with and the one the token arithmetic below is built on, and it is the least used. Editing existing documents was written into the specification as something the server would *not* do — see §8 — and it turned out to be the half that carries the project.

The one lever with evidence behind it is the paragraph under Telling the agent to use it: the four banks that carry it route eight times more often than the two that do not, 32% of reads against 4%. That is a correlation across six projects, and it is being tested properly — see A-06 in backlog.md.

How it works

There is no database, no daemon and no configuration. A directory of markdown files is the entire state, and the server is a reader of it that happens to speak MCP. Everything it knows it re-derives from the files; delete its process and nothing is lost, because nothing was ever kept anywhere else.

The index, and why there is no watcher

On startup the server walks the bank once, and on every call it walks it again: readdir, stat, and a parse only for the files whose mtime moved. A cold build of a 368-document bank takes about 85 ms; the walk before an unchanged call costs 11–13 ms.

That is why there is no file watcher. A watcher would save those milliseconds and buy an error class in exchange — an index that has quietly diverged from the disk, in a tool whose whole job is to be trusted about what the disk says. The cheap check wins on both counts.

What a document becomes

Each file is parsed once into a record: the frontmatter fields, the second-level section headings with their line spans, byte size, mtime — and one thing the file does not contain, a layer computed from the path (dna, knowledge, decision, delivery, flow, inbox, other).

Frontmatter goes through gray-matter in exactly one place. When the YAML is invalid — an unquoted colon in purpose is the common case — the document does not fall out of the index: its metadata is recovered line by line and the parse error is kept for bank_validate to report. A document that disappears from routing because of a typo is worse than one that ranks badly.

The contract comes from the bank

doc_kind, doc_function, status, whether derived_from is mandatory, which document is the declared root — all of it is read out of the bank's own dna/frontmatter.md and dna/governance.md at refresh time. Nothing is hardcoded, and the sets are open.

This is not politeness: banks disagree about their own vocabulary, and a fixed enum rejects a sizeable minority of real documents by doc_kind alone. A bank with no dna/ still works: the server runs in degraded mode — reading, routing, search and the structural rules — and says so instead of enforcing a contract nobody declared.

Routing: ranking the header, never the prose

bank_route answers "what should I read about this", and it reads only what a human wrote by hand about each document — never the body. Four fields, with fixed weights:

FieldWeightScored as
canonical_for5how much of a fact key the question covers, not whether one word of it matched
purpose3word overlap
title2word overlap
section headings1the best-matching heading, which is also returned so the answer can be read section-scoped

The raw score is then multiplied, and the multipliers are where the ranking actually gets its judgement:

  • Layer. knowledge ×1.5, decision ×1.2, dna / flow / other ×1.0, delivery ×0.6, inbox ×0.2. Delivery is damped because in a bank that has been in use for a while it is most of the documents; without this a question about a rule returns the closed features that mention it.
  • Status. active ×1, draft ×0.7, archived ×0.2.
  • Closed work. delivery_status: done or cancelled halves the score again. A finished feature is history, not an answer.
  • Intent. A question containing *why*, *rationale*, *instead of*, *почему*, *вместо* reweights the whole run toward decisions: decision ×1.6, knowledge ×1.2. "Why X" and "what is X" are different questions and should not return the same document first.

Templates never appear in results: they are structurally identical to real documents and would flood every list.

Search: a different index for a different question

bank_search is not a fallback for routing, it answers the other half. Routing ranks the hand-written header ("which document is *about* this"); search reads the prose ("where does this string actually appear"). Identifiers, error messages and literals live only in bodies.

It builds an inverted index over document bodies, incrementally on the same mtime check. A query matches in three tiers by confidence — the word as typed weighs 10, its equivalent in the other language 6, a fragment of a compound token 1 — and documents matching every concept are ranked before documents matching some. The fragment tier is what keeps FT-042 from lifting the features/README.md registry, with its seventy FT-* lines, above the feature itself.

Writing: one operation, or none

bank_create writes the document, fills the frontmatter the contract asks for, and registers it in the section index in the same call — so the registration step cannot be forgotten, which is the single most common way a bank rots. Registration copies the shape of the last entry in that index, table row or bullet or numbered item, so a hand-written file is not reformatted.

Before any of that it refuses, with the reason named: the path is taken, derived_from does not resolve, canonical_for is already owned by another document, the path leaves the bank root, or it does not end in .md. A refusal writes nothing at all — no partial file, no orphaned index line.

Two rules follow from those gates, and they are the reason the writes are worth having: an SSoT conflict and a broken edge cannot enter the bank through this server. They can only arrive by editing a file behind its back.

The graph

bank_graph walks derived_from breadth-first with a node ceiling, so a hub document does not drag in the whole bank and a cycle does not loop. Each edge lands in one of three outcomes: internal (a node), external (it leaves the bank root — in a monorepo, banks nest), or broken. up is what a document is built on; down is the blast radius of changing it.

An external edge is followed exactly one hop: the target's frontmatter is read and returned under neighbours, and nothing else about it is. It is not indexed, not validated, not searchable, and its own edges are not walked. The boundary stays where it was — but in a monorepo those edges carry real decisions, and a blast radius that silently ends at the repository wall is wrong rather than partial. Pass neighbours: false to skip the reads.

Drift

bank_drift answers the question validation cannot: not "is something missing" but "has what we wrote gone stale". A document that describes code lists it in anchors:, and the server compares the last commit that touched the document against the last commit that touched the code. Where the code is ahead by more than the threshold, it says so — and where an anchor points at a path that no longer exists, it always says so, because that is the code moving out from under the document.

It never guesses which document owns which file. The pairing is hand-annotated or it does not exist, which means a bank that has not been annotated gets an honest empty answer and a note saying why. And it reports without editing: whether a six-month gap matters is not a judgement a timestamp can make.

What a seeded bank contains

bank_init writes 24 files: the governance set in dna/, a root index, eight section registries, the four flow documents, a pointer where the templates would be, and two drafts to fill in. Three more sections — epics, prd, prompts — are built the first time a document needs one, index and root-index entry included, rather than standing empty from the start.

The document templates are not copied. They ship with the server and bank_create reads them from there, so a bank behaves exactly as if it held them; --materialize-flows copies them in for a project that means to change one, and from then on the bank's own copies win. The prose flows *are* copied, because people read them and routing answers with them.

dna/ is copied too, and that one is not negotiable: it is the law the bank is judged by, and the design rests on it travelling with the corpus. Every top-level directory's layer and ranking weight is declared there as well — a bank that renames a section says so in that table and keeps its weight, and a bank that declares nothing gets the built-in map.

What it will not do

It does not create a document by editing — every new document goes through bank_create, so nothing enters the bank without a path check, a derived_from that resolves and an index entry. It does not promote anything out of _inbox/ on its own. It does not invent a schema, and it does not enforce a rule the bank has not declared. It does not delete a document outside _inbox/. And it does not index, validate or search anything outside the bank root — the one hop bank_graph takes into a neighbouring bank reads a header and stops there.

What it costs in tokens

Wiring a server in is not free, and the cost is paid in two different currencies. All figures below were measured on the shipped build, counting characters of the actual JSON-RPC payloads and converting at 3.5 characters per token — dense JSON runs closer to that than the 4 that suits prose.

The fixed half is paid on every request, whether a tool is called or not, because the definitions li

Only the beginning is shown; read the rest in the repo