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

Memory MCP

by chenxiaofieversion 0.2.1i★ 10iRuns on your computer
Registry nameio.github.chenxiaofie/memory-mcp

How to install

What it does

情景+实体记忆 MCP 服务,为 Claude Code 提供持久化记忆能力

  • 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 Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone

Let AI install it

Copy this message into a Claude chat. The AI checks your computer, tells you which file it will change, and waits for your OK every time.

Please install the MCP server Memory MCP for Claude on this computer, in this order: 1) Check uv with uv --version. If it is missing, tell me to install it from https://docs.astral.sh/uv/getting-started/installation/; do not install it yourself. 2) Use only this config (already checked by PopNx MCP): { "mcpServers": { "memory": { "command": "uvx", "args": [ "chenxiaofie-memory-mcp" ] } } } 3) Tell me the full path of the file you will change, or the command you will run, and wait for my OK. 4) No key is needed. 5) Do what we agreed, then check that the Memory MCP tools really show up.

This message has no key in it. If a key is needed, the AI will ask you to paste it yourself into the file or the app’s field.

  1. Install uv (if you don’t have it)

    Already installed? Check first · Open Terminal, type this command and press Enter

    uv --version
    • A version number such as uv … = installed, skip this step
    • "command not found" (on Windows: "is not recognized") = not installed yet, or installed but Terminal needs to be closed and reopened
    How to open Terminal

    Mac: press ⌘ + Space, type Terminal, press Enter

    Windows: open Start, type Windows PowerShell, then Open

    Not installed: uv has no click-through installer. Copy the one-line command for your system (macOS or Windows) from uv’s official page into Terminal · no separate Python install needed; uv downloads it when required

    Open the uv download page ↗

    When it’s done, close Terminal, open it again and run the same command. You should see a version number: uv --version

    Install once; it works for everything that needs uv

  2. Open the Claude desktop app’s settings file

    SettingsDeveloperEdit Config

  3. Paste these settings and save the file

    {
      "mcpServers": {
        "memory": {
          "command": "uvx",
          "args": [
            "chenxiaofie-memory-mcp"
          ]
        }
      }
    }
  4. Quit Claude and open it again

  5. Try it

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

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

1 optional setting(s) (works without them)

The command above works without these. Add them only if you want to change something, following the maker’s description.

  • CLAUDE_PROJECT_ROOT 项目根目录路径

Descriptions are as written by the maker.

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

ChatGPT cannot connect Memory MCP yet

Memory MCP 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 Memory MCP

  • Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
  • Install Python (uv) on your computer first (one time)
  • Install Python (uv) on your computer first (one time)
  • Install Python (uv) on your computer first (one time)

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 Python (uv) on your computer first (one time)

Let AI install it

Copy this message into a Claude Code chat. The AI checks your computer, tells you which file it will change, and waits for your OK every time.

Please install the MCP server Memory MCP for Claude Code on this computer, in this order: 1) Check uv with uv --version. If it is missing, tell me to install it from https://docs.astral.sh/uv/getting-started/installation/; do not install it yourself. 2) Use only this config (already checked by PopNx MCP): claude mcp add --scope user memory -- uvx chenxiaofie-memory-mcp 3) Tell me the full path of the file you will change, or the command you will run, and wait for my OK. 4) No key is needed. 5) Do what we agreed, then check that the Memory MCP tools really show up.

This message has no key in it. If a key is needed, the AI will ask you to paste it yourself into the file or the app’s field.

  1. Install uv (if you don’t have it)

    Already installed? Check first · Open Terminal, type this command and press Enter

    uv --version
    • A version number such as uv … = installed, skip this step
    • "command not found" (on Windows: "is not recognized") = not installed yet, or installed but Terminal needs to be closed and reopened
    How to open Terminal

    Mac: press ⌘ + Space, type Terminal, press Enter

    Windows: open Start, type Windows PowerShell, then Open

    Not installed: uv has no click-through installer. Copy the one-line command for your system (macOS or Windows) from uv’s official page into Terminal · no separate Python install needed; uv downloads it when required

    Open the uv download page ↗

    When it’s done, close Terminal, open it again and run the same command. You should see a version number: uv --version

    Install once; it works for everything that needs uv

  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 memory -- uvx chenxiaofie-memory-mcp
  4. Type /mcp in Claude Code

    You should see Memory MCP listed as connected

  5. Try it

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

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

1 optional setting(s) (works without them)

The command above works without these. Add them only if you want to change something, following the maker’s description.

  • CLAUDE_PROJECT_ROOT 项目根目录路径

Descriptions are as written by the maker.

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 Python (uv) on your computer first (one time)

Let AI install it

Copy this message into a Cursor chat. The AI checks your computer, tells you which file it will change, and waits for your OK every time.

Please install the MCP server Memory MCP for Cursor on this computer, in this order: 1) Check uv with uv --version. If it is missing, tell me to install it from https://docs.astral.sh/uv/getting-started/installation/; do not install it yourself. 2) Use only this config (already checked by PopNx MCP): { "mcpServers": { "memory": { "command": "uvx", "args": [ "chenxiaofie-memory-mcp" ] } } } 3) Tell me the full path of the file you will change, or the command you will run, and wait for my OK. 4) No key is needed. 5) Do what we agreed, then check that the Memory MCP tools really show up.

This message has no key in it. If a key is needed, the AI will ask you to paste it yourself into the file or the app’s field.

  1. Install uv (if you don’t have it)

    Already installed? Check first · Open Terminal, type this command and press Enter

    uv --version
    • A version number such as uv … = installed, skip this step
    • "command not found" (on Windows: "is not recognized") = not installed yet, or installed but Terminal needs to be closed and reopened
    How to open Terminal

    Mac: press ⌘ + Space, type Terminal, press Enter

    Windows: open Start, type Windows PowerShell, then Open

    Not installed: uv has no click-through installer. Copy the one-line command for your system (macOS or Windows) from uv’s official page into Terminal · no separate Python install needed; uv downloads it when required

    Open the uv download page ↗

    When it’s done, close Terminal, open it again and run the same command. You should see a version number: uv --version

    Install once; it works for everything that needs uv

  2. Click this button to open Cursor

    Open in Cursor

    Cursor asks you to confirm; click Install

  3. Open the AI chat in Cursor in Agent mode

  4. Try it

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

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

1 optional setting(s) (works without them)

The command above works without these. Add them only if you want to change something, following the maker’s description.

  • CLAUDE_PROJECT_ROOT 项目根目录路径

Descriptions are as written by the maker.

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 Python (uv) on your computer first (one time)

Let AI install it

Copy this message into a VS Code chat. The AI checks your computer, tells you which file it will change, and waits for your OK every time.

Please install the MCP server Memory MCP for VS Code on this computer, in this order: 1) Check uv with uv --version. If it is missing, tell me to install it from https://docs.astral.sh/uv/getting-started/installation/; do not install it yourself. 2) Use only this config (already checked by PopNx MCP): { "servers": { "memory": { "type": "stdio", "command": "uvx", "args": [ "chenxiaofie-memory-mcp" ] } } } 3) Tell me the full path of the file you will change, or the command you will run, and wait for my OK. 4) No key is needed. 5) Do what we agreed, then check that the Memory MCP tools really show up.

This message has no key in it. If a key is needed, the AI will ask you to paste it yourself into the file or the app’s field.

  1. Install uv (if you don’t have it)

    Already installed? Check first · Open Terminal, type this command and press Enter

    uv --version
    • A version number such as uv … = installed, skip this step
    • "command not found" (on Windows: "is not recognized") = not installed yet, or installed but Terminal needs to be closed and reopened
    How to open Terminal

    Mac: press ⌘ + Space, type Terminal, press Enter

    Windows: open Start, type Windows PowerShell, then Open

    Not installed: uv has no click-through installer. Copy the one-line command for your system (macOS or Windows) from uv’s official page into Terminal · no separate Python install needed; uv downloads it when required

    Open the uv download page ↗

    When it’s done, close Terminal, open it again and run the same command. You should see a version number: uv --version

    Install once; it works for everything that needs uv

  2. Click this button to open VS Code

    Open in VS Code

    VS Code asks you to confirm; click Install

  3. Open the AI chat in VS Code in Agent mode

  4. Try it

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

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

1 optional setting(s) (works without them)

The command above works without these. Add them only if you want to change something, following the maker’s description.

  • CLAUDE_PROJECT_ROOT 项目根目录路径

Descriptions are as written by the maker.

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 Memory MCP💬 Discussion →
For developers: Terminal commands and JSON settings

Installed on your computer

Claude Code

claude mcp add --scope user memory -- uvx chenxiaofie-memory-mcp

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "memory": {
      "command": "uvx",
      "args": [
        "chenxiaofie-memory-mcp"
      ]
    }
  }
}

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "memory": {
      "command": "uvx",
      "args": [
        "chenxiaofie-memory-mcp"
      ]
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "memory": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "chenxiaofie-memory-mcp"
      ]
    }
  }
}

Values you fill in

  • CLAUDE_PROJECT_ROOT env
    项目根目录路径

Descriptions are as written by the maker.

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

At a glance

Downloads per weeki
54/wk
Connection
Runs on your computer
Latest versioni
0.2.1
Published to registryi
Feb 12, 2026
Code last changedi
Jul 26, 2026
Maker
chenxiaofie
Packages
pypi: chenxiaofie-memory-mcp
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 15, 2026

  • ✓ Pass

    Maker matches the repo

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

  • ✓ Pass

    Still maintained

    Code last changed 4 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

Published vulnerabilities (OSV.dev)

No entries on OSV.dev for chenxiaofie-memory-mcp@0.2.1

Checks only this package version, not every dependency · checked Nov 15, 2026

What we check → · JSON

Makers: ask for a re-check or report wrong info

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.

Sign in to post

User reviews

No reviews yet

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Compared with others in Search & AI memoryi

  • More stars than 92% of the other 6168 servers in this category
  • Published to the registry more recently than 2% of the other 6168 servers in this category
  • Basic checks equal to or better than 100% of the other 6168 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 Memory MCP 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 4 months ago, and the latest version (0.2.1) reached the registry 9 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: OpenSEO, Exa, Mockserver, Microsoft Learn MCP, Docs

Similar alternatives

Same category, other makers, commands already checked. Official ones first, then by stars.

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

OpenSEO

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

by every-appWidely used★ 27.7KUpdated yesterday

Runs in the cloud✓ everyapp.com

Exa

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

by exa-labsWidely used★ 5.2KUpdated 2 months ago

Runs in the cloud✓ service owner · exa.aiTried by the PopNx team

Mockserver

Mock, record/replay, verify and chaos-test any HTTP, REST, gRPC or LLM dependency over MCP.

by mock-serverGrowing★ 5KUpdated 19 days ago

Runs on your computer✓ service owner · mock-server.com

Microsoft Learn MCP

Official Microsoft Learn MCP Server – real-time, trusted docs & code samples for AI and LLMs.

by MicrosoftDocsWidely used★ 2KUpdated 12 months ago

Runs in the cloud✓ service owner · microsoft.comTried by the PopNx team

Docs

Search and read Empryo's documentation. Read-only, no auth, no local access.

by proxysoulGrowing★ 1.6KUpdated 2 months ago

Runs in the cloud✓ empryo.com
  • OpenSEO — Runs in the cloud, nothing to install · No key needed
  • Exa — Runs in the cloud, nothing to install · No key needed · In Claude’s directory
  • Mockserver — Installs on your computer · No key needed
  • Microsoft Learn MCP — Runs in the cloud, nothing to install · No key needed · In Claude’s directory
  • Docs — Runs in the cloud, nothing to install · No key needed

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.

Memory MCP Service

English | 中文

A persistent memory MCP service for Claude Code. Automatically saves conversations and retrieves relevant history across sessions.

What it does: Every time you chat with Claude Code, your conversation context (decisions, preferences, key discussions) is saved and automatically recalled in future sessions — so Claude always has the background it needs.

Quick Start

Prerequisites

Install uv (Python package runner):

# Windows

powershell -c "irm https://astral.sh/uv/install.ps1 | iex"

Mac/Linux

curl -LsSf https://astral.sh/uv/install.sh | sh

Requires Python 3.10 - 3.13 (chromadb is not compatible with Python 3.14+).

1. Initialize (First Time Only)

Download the vector model (~400MB, one-time):

uvx --from chenxiaofie-memory-mcp memory-mcp-init
2. Add MCP Server to Claude Code
claude mcp add memory-mcp -s user -- uvx --from chenxiaofie-memory-mcp memory-mcp
3. Configure Hooks (Recommended)

Hooks enable fully automatic message saving. Without hooks, you need to manually call memory tools.

Add the following to ~/.claude/settings.json:

{

"hooks": { "SessionStart": [{ "matcher": ".*", "hooks": [{ "type": "command", "command": "uvx --from chenxiaofie-memory-mcp memory-mcp-session-start" }] }], "UserPromptSubmit": [{ "matcher": ".*", "hooks": [{ "type": "command", "command": "uvx --from chenxiaofie-memory-mcp memory-mcp-auto-save" }] }], "Stop": [{ "matcher": ".*", "hooks": [{ "type": "command", "command": "uvx --from chenxiaofie-memory-mcp memory-mcp-save-response" }] }], "SessionEnd": [{ "matcher": ".*", "hooks": [{ "type": "command", "command": "uvx --from chenxiaofie-memory-mcp memory-mcp-session-end" }] }] } }

4. Verify
claude mcp list

You should see memory-mcp: ... - ✓ Connected.

That's it! Start a new Claude Code session and your conversations will be automatically saved and recalled.

How It Works

Session Start ──► Create Episode ──► Monitor Process (background)

│ User Message ──► Save Message ──► Recall Related Memories ──► Inject Context │ Claude Reply ──► Save Response │ │ Session End ──► Close Signal ──► Archive Episode + Generate Summary

  • Episodes: Each conversation session is an "episode" with auto-generated summaries
  • Entities: Key knowledge extracted from conversations (decisions, preferences, concepts)
  • Dual-layer storage: User-level (shared across projects) + Project-level (isolated per project)
  • Semantic search: Vector-based retrieval finds relevant past context

Usage

Automatic Mode (With Hooks)

Once hooks are configured, everything is automatic. Claude will see relevant history from past sessions as context.

Manual Mode

You can also call memory tools directly in Claude Code:

# Start a new episode

memory_start_episode("Login Feature Development", ["auth"])

Record a decision

memory_add_entity("Decision", "Use JWT + Redis", "For distributed deployment")

Search history

memory_recall("login implementation")

Close episode

memory_close_episode("Completed JWT login feature")

Hooks Reference

HookWhat it doesTiming
SessionStartCreates a new episode~50ms
UserPromptSubmitSaves user message + retrieves related memories~1-2s
StopSaves assistant response~1s
SessionEndSignals episode closure~50ms

Tools Reference

ToolDescription
memory_start_episodeStart a new episode
memory_close_episodeClose and archive current episode
memory_get_current_episodeGet current active episode
memory_add_entityAdd a knowledge entity
memory_confirm_entityConfirm a detected entity candidate
memory_reject_candidateReject a false detection
memory_deprecate_entityMark an entity as outdated
memory_get_pendingList pending entity candidates
memory_recallSemantic search across episodes and entities
memory_search_by_typeSearch entities by type
memory_get_episode_detailGet full episode details
memory_list_episodesList all episodes chronologically
memory_statsGet system statistics
memory_encoder_statusCheck vector encoder status
memory_cache_messageManually cache a message
memory_clear_cacheClear message cache
memory_cleanup_messagesClean up old cached messages

Entity Types

TypeLevelDescription
DecisionProjectTechnical decisions for this project
ArchitectureProjectArchitecture designs
FileProjectImportant file descriptions
PreferenceUserPersonal preferences (shared across projects)
ConceptUserGeneral concepts
HabitUserWork habits

Storage Locations

  • User-level: ~/.claude-memory/
  • Project-level: {project-root}/.claude/memory/

Alternative: Install from source

If you need to run from source (e.g., for development):

git clone https://github.com/chenxiaofie/memory-mcp.git

cd memory-mcp

Windows:

install.bat

Mac/Linux:

chmod +x install.sh && ./install.sh

Then configure MCP server with the venv Python:

# Windows:

claude mcp add memory-mcp -s user -- "C:\path\to\memory-mcp\venv310\Scripts\python.exe" -m memory_mcp.server

Mac/Linux:

claude mcp add memory-mcp -s user -- /path/to/memory-mcp/venv310/bin/python -m memory_mcp.server

Author

陈佳俊 (Jiajun Chen) — front-end engineer based in Hangzhou, China. GitHub @chenxiaofie · feifeichen1999@gmail.com

本项目由陈佳俊(GitHub: chenxiaofie)开发并维护。

License

MIT License - see LICENSE file for details.