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Memocall

by baodq06version 0.1.0i★ –iRuns on your computer
Registry nameio.github.baodq06/memocall

Install

Overview

Description from the maker (original English)

Recall past Claude Code conversations from any project as clean, compact Markdown.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

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

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "memocall": {
      "command": "npx",
      "args": [
        "-y",
        "memocall"
      ]
    }
  }
}

Run this in your terminal

claude mcp add memocall -- npx -y memocall

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "memocall": {
      "command": "npx",
      "args": [
        "-y",
        "memocall"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "memocall": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "memocall"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

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

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account baodq06, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – 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

Compared with others in Otheri

  • More stars than 0% of the other 32680 servers in this category
  • Published to the registry more recently than 13% of the other 32680 servers in this category
  • Basic checks equal to or better than 100% of the other 32680 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 Memocall safe?

It passed 1 of 1 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 –, and the latest version (0.1.0) reached the registry 5 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: Spec Driven Development, Remote Desktop Commander, EmbeddedCI BenchPod

Alternatives

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

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

Runs in the cloud★ 211Updated 2 days ago
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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.

MemoCall

An MCP server that lets Claude Code recall the context of your past conversations — from any project — on demand.

Claude Code can *resume* a session, but getting *another* conversation's context into the one you're in is a chore — copy-pasting exports or digging through raw transcript files by hand — and resume only sees the current directory anyway. MemoCall turns it into a single ask: *"what was I working on?"* or *"load the session where we set up X"*, and it pulls that transcript in as clean, compact Markdown — even from a totally different project.

It's read-only. Claude Code already records every session to ~/.claude/projects/ / .jsonl; this server just reads those files, strips the noise, collapses tool calls, and hands back a readable transcript. It never writes, hooks, or touches a live session.

What you get

Five tools, available in every session once installed. Claude picks the right one from the request:

ToolWhat it does
list_sessionsYour recent conversations across all projects, grouped by directory. "What was I working on?"
search_sessionsFind a past conversation by keyword (matches titles + first messages + paths).
load_sessionLoad one conversation as compact Markdown — by id or query. Optionally a turn window via turns.
session_outlineA cheap map of one conversation: the numbered list of your prompts. Great for huge sessions.
search_in_sessionReturn only the turns within one conversation that match a keyword.

You don't call these directly — you talk normally and Claude reaches for them:

You:  what sessions have i worked on recently?

You: load the one where we set up the license invitation system You: which session did we debug the keychain SIGKILL thing in?

How the transcript is rendered

Raw transcripts are a verbose event log (one big file hit 11 MB). memocall reduces each turn to the essentials, Conductor-style:

**You:** right now i need to set up a system to invite prospects...

↳ 12 tool calls (Bash ×5, Read ×4, Edit ×3) Claude: I've set up the invitation flow. Key decisions: ...

Tool-call *outputs* are elided (the big token win, and a privacy win — see below). Abandoned/edited message branches are dropped so you get the conversation as it actually played out. A token budget keeps even an 11 MB session well under Claude Code's MCP output cap via middle-out truncation.

Navigating large sessions

A single response can't hold a 1,000-turn session, so for big ones you don't dump — you navigate:

  1. session_outline → a numbered map of every prompt (tiny, fits any session).
  2. search_in_session → jump straight to the turns about a topic, or load_session with turns: "300-340" to pull an exact window (turn numbers come from the outline).

So you never lose access to the middle of a huge conversation — load_session alone would middle-out-truncate it, but the outline + range/search tools let Claude reach any part on demand.

Install

Requires the Claude Code CLI (and Node 18+). One line — npx fetches and runs the published package:

claude mcp add --scope user memocall -- npx -y memocall

--scope user makes it available in every session, in every directory. Restart Claude Code (or open a new session) and ask it to list your sessions. Verify with claude mcp list — you should see memocall: … ✔ Connected.

Or run from source (for development)

git clone https://github.com/baodq06/memocall.git

cd memocall && npm install && npm run build claude mcp add --scope user memocall -- node "$(pwd)/dist/index.js"

</details>

Privacy & security

  • Local only. No network, no auth, no telemetry. It reads files under ~/.claude/projects/ and nothing else.
  • Compact mode elides tool outputs, which is where secrets (tokens, keys, env) usually live — so the default output is much safer than the raw transcript.
  • `format: "full"` includes brief tool inputs and may surface sensitive strings. Use it deliberately.
  • Transcripts can contain secrets regardless; treat loaded context as you would the original conversation.

Limitations

  • Recall is best-effort: Claude Code deletes transcripts after cleanupPeriodDays (default 30).
  • Forked sessions may only contain post-fork turns.
  • The transcript format is undocumented and can change between Claude Code versions; all format knowledge is isolated in src/jsonl.ts so it's a one-file patch if it does.

Development

npm run build           # compile TypeScript -> dist/

npm test # unit suite (node:test) on synthetic fixtures npm run smoke # optional: checks all YOUR real sessions stay under the output cap node dist/parser.js [--full|--outline] [--turns 10-20] [--search "kw"] [--max N] [--think] # test the parser node test-client.mjs # drive the server over stdio like Claude Code does npm run inspect # open the MCP Inspector UI

Layout:

  • src/jsonl.ts — all knowledge of the transcript format (helpers, ordering, classification).
  • src/parser.ts — JSONL → compact Markdown (the core transform).
  • src/locator.ts — session enumeration + cached metadata index.
  • src/index.ts — the MCP server wiring the three tools.

License

MIT

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