MemCell

Name: MemCell
Author: memcell-ai

by memcell-aiversion 2.2.1i★ –iComputer or cloud

Registry nameai.memcell/memcell

Install

Overview

Description from the maker (original English)

Shared, persistent memory for AI agents: recall before acting, report outcomes to earn confidence.

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: Computer or cloud
Transport: stdio, Streamable HTTP
Category: Search & AI memory
You need to fill in: Authorization

Install

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

Before you install

Basic checks: 1 of 1 passed
Runs on the maker’s server: what you ask it goes through their server.
You fill in yourself: Authorization

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

You need

Runs in the cloudNothing to install; it connects over the internet
npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

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

This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.

Or run it on your computer

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

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

Run this in your terminal

claude mcp add --transport http memcell https://memcell.ai/mcp --header 'Authorization: your-value'

Or run it on your computer

claude mcp add memcell -- npx -y memcell 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": {
    "memcell": {
      "url": "https://memcell.ai/mcp",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

Or run it on your computer

Open in Cursor

Or copy the settings yourself

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

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

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": {
    "memcell": {
      "type": "http",
      "url": "https://memcell.ai/mcp",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

Or run it on your computer

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

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 address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.

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

Values you fill in

Authorization secret required HTTP header
Bearer . Create one with `npx memcell connect` in a workspace, or from your workspace settings on https://memcell.ai

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

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

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 against the domain memcell.ai (the registry checks domain ownership)
… 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 checked yet
Endpoint responds
Not checked yet; we check endpoints in rotation
… Not checked yet
Sign-in with OAuth
Not checked yet; we check endpoints in rotation
… Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint

Compared with others in Search & AI memoryi

More stars than 0% of the other 7220 servers in this category
Published to the registry more recently than 94% of the other 7220 servers in this category
Basic checks equal to or better than 100% of the other 7220 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 MemCell 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: Authorization

Does it run on my computer or in the cloud?

Either way works: install it on your computer or connect to the cloud version.

Is it still maintained?

The GitHub repo last changed –, and the latest version (2.2.1) reached the registry 2 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

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.

MemCell MCP Server

The official Model Context Protocol (MCP) server & registry manifest for MemCell .

Living, persistent memory for AI agents: recall before acting, report outcomes so confidence is earned.

MemCell provides persistent, adaptive memory, working thread continuity, knowledge graph traversal, and grounded document RAG for AI agents across any client harness. This repository contains the official MCP registry manifest, Smithery configuration, and connection guides.

Quickstart

Option A: Local stdio (Recommended)

Run via npx (requires memcell CLI installed or accessible via npm):

npx -y memcell mcp

Option B: Remote Streamable HTTP

Connect directly to the hosted or self-hosted MemCell streamable HTTP endpoint:

Endpoint: https://memcell.ai/mcp
Header: Authorization: Bearer

Option C: Local Standalone Server (PGlite)

Run MemCell on your local machine with embedded PGlite vector storage (once cached or pointed at MEMCELL_SERVER_PATH, memcell start runs completely offline without network access):

# 1. Start local server in background

memcell start --daemon

2. Wire local MCP tools

memcell connect --url http://localhost:3000

Client Configurations

1. Claude Desktop

Add to claude_desktop_config.json:

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

2. Claude Code

Run:

claude mcp add memcell -- npx -y memcell mcp

3. Cursor

Add to .cursor/mcp.json (or ~/.cursor/mcp.json):

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

4. Antigravity

Add to ~/.gemini/antigravity/mcp_config.json:

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

5. Windsurf / Cline / OpenCode / Goose

Configure the MCP server command as:

Command: npx
Args: ["-y", "memcell", "mcp"]

How It Works

MemCell exposes seven workspace tools over MCP:

`recall`: Pre-flight memory retrieval before taking action. Fetches relevant instructions, decisions, facts, preferences, active or resumed session threads, 1-hop knowledge graph relations, and grounded workspace document chunks.
`remember`: Durable memory storage. Files atomic instructions, decisions, facts, and preferences—including detailed operational specifications (content), affected resources (resources), and enforcement moments (appliesAt)—directly into the active workspace or user profile.
`report`: Outcome feedback calibration. Reports whether recalled memory worked, failed, or was avoided, calibrating confidence dynamically over time.
`feedback`: Direct evaluation of a specific memory ID (worked or failed) with supporting outcome notes.
`ingest_document`: Multi-format document ingestion. Indexes PDF, DOCX, CSV, TSV, HTML, JSON, and Markdown documents into grounded workspace chunks and optionally distills atomic memories.
`search_documents`: Hybrid semantic and full-text retrieval across grounded workspace document chunks.
`get_insights`: Live workspace telemetry, empirical Confidence Calibration Curve (ECE, Brier score, and bucketed observed success rates), and Governance Shield metrics (enforced guards, quarantined user-scope memories, and demoted items).

Custom Agent SDK Integrations

Building custom agents in TypeScript or Python? Official drop-in adapters ship inside @memcell/sdk (@memcell/sdk/vercel, @memcell/sdk/openai, @memcell/sdk/langgraph) and Python memcell.integrations (OpenAI Agents, LangGraph, PydanticAI, CrewAI) alongside MCP.

Ecosystem

DevKit: TypeScript SDK, Python SDK, and CLI in memcell-ai/devkit
Engine: Core memory service backend in memcell-ai/memcell
Documentation: memcell.ai/docs

License

Apache-2.0

MemCell

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Or run it on your computer

Or run it on your computer

Or run it on your computer

Or run it on your computer

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

Quickstart

Option A: Local stdio (Recommended)

Option B: Remote Streamable HTTP

Option C: Local Standalone Server (PGlite)

2. Wire local MCP tools

Client Configurations

1. Claude Desktop

2. Claude Code

3. Cursor

4. Antigravity

5. Windsurf / Cline / OpenCode / Goose

How It Works

Custom Agent SDK Integrations

Ecosystem

License