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mammoth vs io.github.neo4j-contrib/mcp-neo4j-memory

mammoth is no longer listed on any marketplace we read: these are its last known data, as of 2026‑10‑18.

mammoth is a plugin bundle for AI coding tools published by AllSource. No marketplace we read lists it any more. io.github.neo4j-contrib/mcp-neo4j-memory is an MCP server published by neo4j-contrib. Marketplaces we read that list it: 2 (Official MCP Registry, Docker MCP Catalog). As of our marketplace pass on 2026-10-27. A plugin in this pair is no longer listed on any marketplace we read, so search engines are asked not to index the page.

Where each is published

Where each is published
Marketplacemammothio.github.neo4j-contrib/mcp-neo4j-memory
Community marketplace all-source-os/all-source Removed on 2026-10-18
Version: 0.1.0
Forks (GitHub): 0
Stars (GitHub): 3
Not marked · First seen
Not listed
Official MCP Registry Not listed Listed
Version: 1.0.0
Downloads/month (PyPI): 23 826
Downloads/week (PyPI): 7 866
Forks (GitHub): 264
Stars (GitHub): 989
Not marked · First seen
Docker MCP Catalog Not listed Listed
Version: sha256:0f04105a1006
Forks (GitHub): 264
Pulls (Docker Hub): 40 594
Stars (Docker Hub): 9
Stars (GitHub): 989
Not marked · First seen

Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.

The facts side by side

mammoth vs io.github.neo4j-contrib/mcp-neo4j-memory
Factmammothno longer listed · io.github.neo4j-contrib/mcp-neo4j-memory
Marketplaces that list it (differs)02
Stars (GitHub) (differs)3989
Pulls (Docker Hub) (differs)No figure on Docker Hub40 594
Forks (GitHub) (differs)0264
Last releaseNot publishedNot published
Where it runs (differs)Installs as a plugin bundleOn your machine (mcp-neo4j-memory)
Transport (differs)Not statedstdio
Tools it declares (differs)Not published9
Environment variables it asks for (differs)Not published10, secrets among them: 1
Parts of the bundle (differs)8Not a bundle
LicenceMITMIT
Repository (differs)github.com/all-source-os/all-sourcegithub.com/neo4j-contrib/mcp-neo4j
Changes in the last 7 days00
First seen (differs)2026-10-152026-10-11

Lines where the two differ have a tinted background and bold values. No value is marked better or worse: a plugin no marketplace lists any more is shown with its last known data, which we do not rank against current figures.

What to use instead of mammoth

Plugins still listed whose own names, descriptions, tools and skills are closest in meaning to it. Comparable, not endorsed.

  • engram io.github.tstockham96/engram

    Intelligent agent memory with automatic extraction, consolidation, and bi-temporal recall.

    by tstockham96 · MCP server

    Listed on: Official MCP Registry, Claude Code: claude-plugins-community · Describes nearly the same job

  • Agentage Memory

    One memory, every AI. A shared, user-owned markdown memory your AI clients read and write over MCP.

    by agentage.io · MCP server

    Listed on: Official MCP Registry · Describes nearly the same job

  • Copilot Memory MCP

    Persistent semantic memory for AI agents using local ChromaDB vector search. No cloud required.

    by LabForgeDev · MCP server

    Listed on: Official MCP Registry · Describes nearly the same job

  • GrantAi Memory

    Persistent memory for AI agents. Infinite context with sub-millisecond recall.

    by solonai.com · MCP server

    Listed on: Official MCP Registry · Describes nearly the same job

  • Memoize — persistent agent memory

    Persistent cross-session memory shared by Codex, Claude Code, ChatGPT, and other AI agents.

    by harrisonford · MCP server

    Listed on: Official MCP Registry · Describes nearly the same job

  • memory com.leapmemory/memory

    Long-term memory for AI assistants. Isolated per-user storage, recall across conversations.

    by leapmemory.com · MCP server

    Listed on: Official MCP Registry · Describes nearly the same job

Its card, with similar plugins by marketplace

What each says it does

mammoth

In its own words, on Community GitHub marketplaces:

Durable agent memory. Your coding agent remembers decisions, task history, and code context across sessions and recalls them automatically. caveman make few token, mammoth never forget token.

io.github.neo4j-contrib/mcp-neo4j-memory

In its own words, on Official MCP Registry:

MCP Neo4j Knowledge Graph Memory Server

How to run each

mammoth

No data for an automatic command: what its marketplaces declare does not say unambiguously how to connect it.

io.github.neo4j-contrib/mcp-neo4j-memory As a local MCP server: PyPI package

Claude Code
claude mcp add --env "NEO4J_PASSWORD=<YOUR_NEO4J_PASSWORD>" --env "NEO4J_URI=<YOUR_NEO4J_URI>" --env "NEO4J_USERNAME=<YOUR_NEO4J_USERNAME>" --transport stdio mcp-neo4j-memory -- uvx mcp-neo4j-memory

Requires: NEO4J_PASSWORD (secret), NEO4J_URI, NEO4J_USERNAME

Commands built only from what the marketplaces declare; the full set for every client is on each card.

Tools each declares

The marketplaces of mammoth publish no list of tools, so we do not compare tools.

Settings each asks for

The marketplaces of mammoth publish no settings it asks for, so we do not compare settings.

What it can do: mammoth · What it can do: io.github.neo4j-contrib/mcp-neo4j-memory · Compare two other plugins

Data comes from public marketplace files in GitHub repositories of their authors. Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Data comes from the Docker MCP Catalog (desktop.docker.com/mcp/catalog) and Docker Hub. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.

Where the data comes from: how the catalog is built