Memphora

Name: Memphora
Author: Memphora

by Memphoraversion 0.1.3i★ –iRuns on your computer

Registry nameio.github.Memphora/memphora

Install

Overview

Description from the maker (original English)

Add persistent memory to AI assistants. Store and recall info across conversations.

PopNx MCP’s three pillars

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

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

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: Search & AI memory
You need to fill in: MEMPHORA_API_KEY

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).
You fill in yourself: MEMPHORA_API_KEY, MEMPHORA_USER_ID

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

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": {
    "memphora": {
      "command": "uvx",
      "args": [
        "memphora-mcp"
      ],
      "env": {
        "MEMPHORA_API_KEY": "your-value",
        "MEMPHORA_USER_ID": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add memphora --env MEMPHORA_API_KEY=your-value --env MEMPHORA_USER_ID=your-value -- uvx memphora-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "memphora": {
      "command": "uvx",
      "args": [
        "memphora-mcp"
      ],
      "env": {
        "MEMPHORA_API_KEY": "your-value",
        "MEMPHORA_USER_ID": "your-value"
      }
    }
  }
}

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": {
    "memphora": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "memphora-mcp"
      ],
      "env": {
        "MEMPHORA_API_KEY": "your-value",
        "MEMPHORA_USER_ID": "your-value"
      }
    }
  }
}

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.

Values you fill in

MEMPHORA_API_KEY secret required env
Your Memphora API key from memphora.ai/dashboard
MEMPHORA_USER_ID env
Unique identifier for your memories

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 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account Memphora, 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 Search & AI memoryi

More stars than 0% of the other 7226 servers in this category
Published to the registry more recently than 1% of the other 7226 servers in this category
Basic checks equal to or better than 100% of the other 7226 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 Memphora 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?

You need to fill in: MEMPHORA_API_KEY

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 (0.1.3) reached the registry 11 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: Context7, Codebase Memory, Exa

Alternatives

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

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

Context7

by upstash

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

Computer or cloud★ 64,224MITUpdated 3 days ago

Install

Codebase Memory

by DeusData

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

Runs on your computer★ 48,148MITUpdated 20 days ago

Install

Exa

by exa-labs

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

Runs in the cloud★ 5,213MITUpdated 44 days ago

Install

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.

Memphora MCP Server

Add persistent memory to Claude, Cursor, Windsurf, and other AI assistants using the Model Context Protocol (MCP).

What is this?

This MCP server connects your AI assistant to Memphora, giving it the ability to:

Remember information across conversations
Search your personal knowledge base
Extract insights from conversations automatically
Recall your preferences, facts, and context

Quick Start

1. Install

# Using pip

pip install memphora-mcp

Or using uvx (recommended for Claude Desktop)

uvx memphora-mcp

2. Get Your API Key

Go to memphora.ai/dashboard
Create an account or sign in
Copy your API key from the dashboard

3. Configure Claude Desktop

Add to your Claude Desktop config file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

"mcpServers": { "memphora": { "command": "uvx", "args": ["memphora-mcp"], "env": { "MEMPHORA_API_KEY": "your_api_key_here", "MEMPHORA_USER_ID": "your_unique_user_id" } } } }

4. Restart Claude Desktop

Close and reopen Claude Desktop. You should see the Memphora tools available!

Usage Examples

Storing Memories

Just tell Claude something about yourself:

You: "I work at Google as a software engineer"

Claude: [stores memory] "Got it! I'll remember that you work at Google as a software engineer."

You: "My favorite programming language is Python" Claude: [stores memory] "Noted! I'll remember that Python is your favorite programming language."

Recalling Memories

Ask Claude about things you've told it before:

You: "Where do I work?"

Claude: [searches memories] "You work at Google as a software engineer."

You: "What programming languages do I like?" Claude: [searches memories] "Your favorite programming language is Python."

Automatic Context

Claude will automatically search your memories when relevant:

You: "Can you help me with some code?"

Claude: [searches memories for context] "Sure! Since you prefer Python and work at Google, I'll write this in Python following Google's style guide..."

Available Tools

Tool	Description
`memphora_search`	Search memories for relevant information
`memphora_store`	Store new information for future recall
`memphora_extract_conversation`	Extract memories from a conversation
`memphora_list_memories`	List all stored memories
`memphora_delete`	Delete a specific memory

Configuration Options

Environment Variable	Description	Default
`MEMPHORA_API_KEY`	Your Memphora API key	Required
`MEMPHORA_USER_ID`	Unique identifier for your memories	`mcp_default_user`

Using with Other MCP Clients

Cursor

Add to your Cursor settings:

"mcp": { "servers": { "memphora": { "command": "uvx", "args": ["memphora-mcp"], "env": { "MEMPHORA_API_KEY": "your_api_key_here" } } } } }

Windsurf

Add to your Windsurf MCP configuration:

"mcpServers": { "memphora": { "command": "python", "args": ["-m", "memphora_mcp"], "env": { "MEMPHORA_API_KEY": "your_api_key_here" } } } }

Development

Running Locally

# Clone the repo

git clone https://github.com/Memphora/memphora-mcp.git cd memphora-mcp

Install dependencies

pip install -e ".[dev]"

Set your API key

export MEMPHORA_API_KEY="your_key"

Run the server

python -m memphora_mcp

Testing

pytest tests/

Privacy & Security

Your memories are stored securely in Memphora's cloud
Each user has isolated memory storage
API keys are stored locally on your machine
All communication is encrypted via HTTPS

Support

Documentation: memphora.ai/docs
Issues: GitHub Issues
Email: support@memphora.ai

License

MIT License - see LICENSE for details.

Memphora

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

What is this?

Quick Start

1. Install

Or using uvx (recommended for Claude Desktop)

2. Get Your API Key

3. Configure Claude Desktop

4. Restart Claude Desktop

Usage Examples

Storing Memories

Recalling Memories

Automatic Context

Available Tools

Configuration Options

Using with Other MCP Clients

Cursor

Windsurf

Development

Running Locally

Install dependencies

Set your API key

Run the server

Testing

Privacy & Security

Support

License