Memphora

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

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

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

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Capabilities & Tool Schemas (5)Self-reported

Inspect callable tools, capabilities, and parameters exposed to AI agents by Memphora.

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

Documentation Overview

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

bash

# 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

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:

Code

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:

Code

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:

Code

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:

config.json

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

Windsurf

Add to your Windsurf MCP configuration:

config.json

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

Development

Running Locally

server.ts

# 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

bash

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.

Read the full README →View source on GitHub →

Related MCP Servers

View all in Knowledge & Memory View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

Stargazers on the source repository.

Last commit

9mo ago

Most recent push to the default branch.

Tools exposed

Callable tools this server registers over MCP.

Directory activity

1 views

Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Memphora

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "memphora": { "command": "uvx", "args": ["memphora-mcp"] } }

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Technical Specs & Signals

CategoryKnowledge & Memory

11/16 checks healthy over the last 45d

47Quality signal: Fair · 47/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools24/30

Adoption & activity1/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 5d ago via OSV.dev · memphora-mcp (PyPI)

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More in 🧠 Knowledge & Memory →Best MCP servers for Memory & Knowledge →Alternatives to Memphora →Install in Claude Desktop Install in Cursor Install in VS Code Setup guides for all 13 MCP clients

Memphora

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

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

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

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Capabilities & Tool Schemas (5)Self-reported

Inspect callable tools, capabilities, and parameters exposed to AI agents by Memphora.

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

Documentation Overview

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

bash

# 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

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:

Code

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:

Code

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:

Code

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:

config.json

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

Windsurf

Add to your Windsurf MCP configuration:

config.json

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

Development

Running Locally

server.ts

# 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

bash

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.

Read the full README →View source on GitHub →

Related MCP Servers

View all in Knowledge & Memory View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

Stargazers on the source repository.

Last commit

9mo ago

Most recent push to the default branch.

Tools exposed

Callable tools this server registers over MCP.

Directory activity

1 views

Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Memphora

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "memphora": { "command": "uvx", "args": ["memphora-mcp"] } }

AllMCPs Directory Badge

Full Badge Customizer

Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

Badge Style:

Live Dynamic SVG Preview

Markdown (GitHub README)

[![AllMCPs](https://allmcps.com/api/badge/memphora?style=directory)](https://allmcps.com/mcp/memphora)

HTML Embed

<a href="https://allmcps.com/mcp/memphora"><img src="https://allmcps.com/api/badge/memphora?style=directory" alt="Memphora on AllMCPs" /></a>

Technical Specs & Signals

CategoryKnowledge & Memory

11/16 checks healthy over the last 45d

47Quality signal: Fair · 47/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools24/30

Adoption & activity1/15

Community engagement0/10

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 5d ago via OSV.dev · memphora-mcp (PyPI)

★ Spotlight Slot

Feature Your MCP Server

Get maximum visibility for your server across our directory, search results, and detail pages.

Spotlight Your Server

Own this project?

Free dofollow backlink: add your website and place the AllMCPs badge on it — no claim needed. We detect it automatically and keep it verified as long as the badge stays live.

Claim & get free dofollow

Share & Embed

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