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Reverie MCP server

by knowall.ai·ai.knowall/reverie·v0.5.2

Graph memory that dreams: Neo4j knowledge-graph memory for AI agents with hybrid search

B80/100grade B
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B80/100

full report

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69 stars63 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

Reverie tools (12, 7 write)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • create_connectionwrite action

    Create a connection between two memories (its good to have connected memories)

  • create_memorywrite action

    Create a new memory in the knowledge graph. Consider that the memory might already exist, so Search → Create → Connect (its important to try and connect memories)

  • delete_connectionwrite action

    Delete a specific connection between two memories (use with caution - this permanently removes the relationship)

  • delete_memorywrite action

    Delete a memory and all its connections (use with caution - this permanently removes the memory and all its connections)

  • dream

    Deterministically relabel, merge duplicates, and refresh embeddings, with an optional dry run report.

  • get_guidance

    Get help on using the memory tools effectively

  • list_memory_labels

    List all unique memory labels currently in use with their counts (useful for getting an overview of the knowledge graph)

  • memory_stats

    Summarize node, relationship, label, embedding, and orphan counts for the graph.

  • query_memorieswrite action

    Run a read-only Cypher query and return up to 200 scrubbed rows.

  • search_memories

    Hybrid keyword + semantic search across the knowledge graph. "Ben Weeks" can also find "Benjamin Weeks" and each result includes _score and _match.

  • update_connectionwrite action

    Update properties of an existing connection between memories

  • update_memorywrite action

    Update properties of an existing memory such as adding more detail or make a change when you find out something new

Public scan report

scanner v0.1.9 · 2026-09-20 · same rubric, same numbers if you re-run it

no findings
  • Code scan16 source files scanned25/25
  • Live reliabilityno gateway calls yet and no remote to proben/a
  • Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitystatic API keys via environment variables6/15
  • Maintenancelast push 2 days ago15/15
  • Maintainer identitynamespace and repository owner differ; GitHub account older than a year6/10
Overall 80/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

Install directly

Runs npx -y @knowall-ai/reverie on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add reverie -- npx -y @knowall-ai/reverie
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Reverie: common questions

Is Reverie MCP server safe?
Mostly: it is graded B (80/100). Read the Reverie safety report
How do I install Reverie?
It runs on your machine. Copy the Claude Code, Claude Desktop or Cursor config from the install section.
Does Reverie need an API key?
Yes. The registry entry asks for NEO4J_PASSWORD.
Is Reverie maintained?
The last commit was 2 days ago (2026-09-17). The latest release is v0.5.2.
What can I use instead of Reverie?
Servers from other publishers that do the same job: Octobrain MCP server, Junê MCP server and Neuromcp MCP server. Compare all Reverie alternatives.

Alternatives to Reverie

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

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  • Octobrain
    Persistent memory for AI assistants with semantic search and knowledge graph relationships.
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  • Junê
    Shared, cited knowledge-graph memory for agents — ask, search, remember, keep standing instructions
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  • Neuromcp
    Semantic memory for AI agents with hybrid search, knowledge graph, and consolidation
    B
  • DocsMint
    Cloud or self-hosted knowledge for AI agents: hybrid search, reranking, GraphRAG, scoped MCP tools.
    A
  • M3 Memory
    Local-first memory — 100+ tools, 99.2% LongMemEval-S retrieval@10, hybrid search, GDPR, no cloud.
    A

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