MCP.Market

MemCell MCP server

online · 100% uptime
by memcell.ai·ai.memcell/memcell·v2.2.1

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

B73/100grade B
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B73/100

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Adoption
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0 stars331 downloads/wk

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How MemCell compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
73/100
higher than 38% of 48,243 servers
Uptime
100%
of our recent checks; the typical remote server answers 100%
Response time
169 ms
faster than 71% of 30,027 servers
Downloads a week
331
more than 82% of 12,306 servers with a package

Release history: 7 versions in the registry since 2026-09-08, latest 2026-11-04, typically one every 3 days.

Install MemCell in Claude Code, Cursor or VS Code

claude mcp add --transport http memcell https://memcell.ai/mcp
Add to Cursor

What the publisher says

From the MemCell repository's README, as published. We do not edit it. Read it on GitHub

memcell

Persistent, adaptive memory engine for AI agents. Stop your agents from repeating the same mistakes across sessions.

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# Install globally
npm install -g memcell

# In any project:
memcell connect

Run it in any project. memcell connect automatically:

  • Approves in 1 tap: Opens browser approval (no upfront account needed; guest memories carry over seamlessly on sign-in).
  • Auto-detects agents: Wires Claude Code, Cursor, Copilot CLI, Gemini CLI, OpenAI Codex, OpenCode, Cline, Windsurf, and more with non-destructive lifecycle hooks and the local stdio MCP server (memcell mcp).
  • Secures credentials: Stores scoped agent keys directly in your OS keyring (Keychain / Secret Service / Credential Manager).
  • Creates .memcell: Adds a clean, git-safe project descriptor to your repo root.

Verify anytime:

memcell status

Why MemCell?

Every time you start a new session with an AI agent, it starts with complete amnesia. It falls into the same traps, repeats outdated assumptions, and recreates issues you already resolved yesterday.

Static instruction files and monolithic system prompts don't solve this:

  • Context Bloat: Stacking dozens of instructions wastes tokens on every turn and dilutes model attention.
  • Zero Adaptability: Outdated instructions keep firing even when requirements change.
  • Manual Overhead: You remain the sole feedback loop, constantly hand-editing markdown files.

MemCell gives your agents closed-loop memory:

  1. Pre-Action Recall — Before taking action, agents receive verified statements relevant to the current task.
  2. Execution & Feedback — When actions succeed or fail, real outcomes are reported back.
  3. Earned Confidence — Statements that work gain confidence; statements that fail decay. Zero manual prompt maintenance.

How It Works

MemCell pairs two lightweight layers so agents stay aligned without getting in your way:

  • Deterministic Hooks (Zero-Touch): Fire automatically on session start, prompt submit, and turn end. Relevant statements and directives are checked before actions begin—without relying on the model remembering to call a tool. Hooks fail open in <50ms, so offline or slow networks never block your editor.
  • MCP Tool Bridge (memcell mcp): Provides interactive tools (recall, remember, report, ingest) when agents need to search memory or record discoveries mid-turn.

Everyday Usage

Once connected, agents recall and report memory automatically. You can also interact with memory directly from your terminal:

1. Recall Verified Context Before Implementing

memcell recall "how do we handle multi-tenant database sessions?"

2. Record a Decision or Convention

# Record a project convention
memcell remember "Always use pnpm for package operations; never invoke npm directly"

# Bind an invariant to a specific lifecycle trigger
memcell remember "Check database migrations for column locks before altering tables" --at "before db:migrate"

3. Report What Happened

Memories sharpen when told what happened. When an approach succeeds or fails, report the outcome:

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Grade history

  • 2026-10-15downgradeA → Bscore 73: Repository is archived

MemCell: common questions

Is MemCell MCP server safe?
Mostly: it is graded B (73/100). Read the MemCell safety report
How do I install MemCell?
It runs remotely at memcell.ai. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does MemCell need an API key?
Yes. The registry entry asks for Authorization.
Is MemCell maintained?
The last commit was 29 days ago (2026-10-07). The latest release is v2.2.1.
Is MemCell up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
What can I use instead of MemCell?
Servers from other publishers that do the same job: State Memory MCP server and Knowl MCP server.
How does MemCell compare with other MCP servers?
safety score 73/100 (higher than 38% of 48,243 servers); uptime 100% (of our recent checks; the typical remote server answers 100%); response time 169 ms (faster than 71% of 30,027 servers). Full comparison.

Alternatives to MemCell

Same job from other publishers: the closest match first, then the best rated.

  • State Memory MCP
    Persistent workflow graph server tracking tasks, decisions, spatial entities, and blockers.
    A
  • Knowl
    Persistent memory for AI agents, for code, research and everyday life. Stale facts retire.
    A