Skip to content
verify mcp Beta VerifyMCP is currently in beta. If you notice any issues, get in touch and we’ll put it right.

Reverie

NPM · @KNOWALL-AI/REVERIE · SCANNED SEP 20

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

Available components

+7 this week 84 Trust /100
Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →

Supply Chain Security90
  • No malware found by supply-chain analysis.Pass
  • CVE check failed: a known high-severity CVE affects sharp 0.34.5, reached via @huggingface/transformers > sharp. A fixed version is available. View diagnostics → Fail
  • No install/post-install scripts declared.Pass
  • 58 of 182 dependencies flagged as unhealthy (1 deprecated). View diagnostics → Partial
Provenance & Transparency100
  • Source repository is publicly reachable at the declared URL. View diagnostics → Pass
  • Cryptographically verified build provenance (signed, bound to knowall-ai/mcp-reverie). View diagnostics → Pass
  • Clear OSI-approved license (MIT).Pass
  • Actively maintained (last published 13 days ago).Pass
  • Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability77
  • AI-judged instruction clarity (excellent).Pass
  • Tool/resource definitions use about 1022 tokens (~85/item across 12 items; 12 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management47
  • Stability observed for 14 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 100% of tool parameters carry a description.Pass
Tool Safety75
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • 0 of 2 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation; "delete_memory" implies "delete" and declares no destructiveHint at all, which the MCP spec reads as destructive by default. See how to fix → Fail
  • An AI judge read all 12 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Install

How do I install the Reverie MCP server?

Reverie runs locally as an npm package, launched with npx -y @knowall-ai/reverie. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

npm · @knowall-ai/reverie

# add to Claude Code
claude mcp add ai-knowall-reverie -- npx -y @knowall-ai/reverie
// .cursor/mcp.json
{
  "mcpServers": {
    "ai-knowall-reverie": {
      "command": "npx",
      "args": [
        "-y",
        "@knowall-ai/reverie"
      ]
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "ai-knowall-reverie": {
      "command": "npx",
      "args": [
        "-y",
        "@knowall-ai/reverie"
      ]
    }
  }
}
# add to Codex CLI
codex mcp add ai-knowall-reverie -- npx -y @knowall-ai/reverie
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "ai-knowall-reverie": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "@knowall-ai/reverie"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add ai-knowall-reverie --command npx --arg -y --arg @knowall-ai/reverie
# ~/.hermes/config.yaml
mcp_servers:
  ai-knowall-reverie:
    command: "npx"
    args: ["-y", "@knowall-ai/reverie"]
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "ai-knowall-reverie": {
      "Transport": "stdio",
      "Command": "npx",
      "Arguments": [
        "-y",
        "@knowall-ai/reverie"
      ]
    }
  }
}
# add to Vellum
assistant mcp add ai-knowall-reverie -t stdio -c npx -a -y @knowall-ai/reverie
// mcp.json
{
  "mcpServers": {
    "ai-knowall-reverie": {
      "command": "npx",
      "args": [
        "-y",
        "@knowall-ai/reverie"
      ]
    }
  }
}
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 20 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 43 to 47. That category is still filling its 30-day observation window: 13 days of observed history at the previous scan, 14 at this one. The score rises as the window fills, whether or not the server changes.

  • 17 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 33 to 37. That category is still filling its 30-day observation window: 10 days of observed history at the previous scan, 11 at this one. The score rises as the window fills, whether or not the server changes.

  • 15 Sept 26 +5
    • Stability: unverified → 0.30 functional
  • 9 Sept 26 0
    • GHSA-rgj7-g3m4-5g8c affects this package: high security
  • 7 Sept 26 +15
    • Malware scan: unverified → pass security
  • 6 Sept 26 62

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 20 Sept 2026 · Analysed npm/@knowall-ai/reverie@0.5.2

Provenance Verified

A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.

Result Verified
Ecosystem npm
Reason Verified
Discovered via Registry attestation endpoint
Source repo knowall-ai/mcp-reverie
Certificate issuer https://token.actions.githubusercontent.com
Certificate SAN https://github.com/knowall-ai/mcp-reverie/.github/workflows/release.yml@refs/tags/v0.5.2
Rekor log index 2743464238
Predicate type https://slsa.dev/provenance/v1
Subject digest sha512:faa34e33aa4f70adf7e1462a0461c641e85a2db8ee9391b86ba3ef4fc580a42a3d85b55b881cc64fe81b1f759857248205eebeaa14ca425fb8cd40570

Background: How many MCP packages publish verified provenance →

Vulnerabilities 2 findings
ID CVE Severity Vector Fix available
GHSA-f88m-g3jw-g9cj high yes
GHSA-rgj7-g3m4-5g8c high yes

Background: What a vulnerability scan can and cannot prove →

Dependencies 182 packages
Packages resolved 182
Deprecated 1
Stale 58
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 12 exposed · ~1,022 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
create_connection ~112

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

NameTypeReqDescription
fromMemoryIdnumberyesID of the source memory
propertiesobjectOptional relationship metadata (e.g. {since: "2023-01", role: "Manager", status: "active"})
toMemoryIdnumberyesID of the target memory
typestringyesRelationship type such as KNOWS, WORKS_ON, LIVES_IN, HAS_SKILL, PARTICIPATES_IN

No output schema declared.

No examples provided.

create_memory ~136

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)

NameTypeReqDescription
labelstringyesMemory label: a plain identifier, Capitalised singular by convention (Person, Place, Organization, Project, Event, Topic, Object, Animal, Concept, Meeting, Decision…). Use list_memory_labels first fo…
propertiesobjectyesInformation to store about this memory (use "name" as primary identifier, e.g. {name: "John Smith", age: 30, occupation: "Engineer"})

No output schema declared.

No examples provided.

delete_connection ~79

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

NameTypeReqDescription
fromMemoryIdnumberyesID of the source memory
toMemoryIdnumberyesID of the target memory
typestringyesExact relationship type to delete (e.g. WORKS_AT, KNOWS, MANAGES)

No output schema declared.

No examples provided.

delete_memory ~44

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

NameTypeReqDescription
nodeIdnumberyesID of the memory to delete

No output schema declared.

No examples provided.

dream ~44

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

NameTypeReqDescription
dry_runbooleanIf true, report planned changes without writing them.

No output schema declared.

No examples provided.

get_guidance ~45

Get help on using the memory tools effectively

NameTypeReqDescription
topicstringTopic: connections, labels, relationships, best-practices, examples, or leave empty for all

No output schema declared.

No examples provided.

list_memory_labels ~50

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

NameTypeReqDescription
include_archivedbooleanInclude labels of archived memories (excluded by default).

No output schema declared.

No examples provided.

memory_stats ~26

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

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

query_memories ~55

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

NameTypeReqDescription
cypherstringyesRead-only Cypher to execute.
paramsobjectOptional parameter map for the Cypher query.

No output schema declared.

No examples provided.

search_memories ~274

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

NameTypeReqDescription
depthintegerRelationship depth to include, 0 to 5, defaults to 1
include_archivedbooleanInclude memories with status "archived" (excluded by default).
labelstringFilter by memory label
limitintegerMaximum results to return, 1 to 200, defaults to 10
order_bystringSort order such as created_at DESC, name ASC
querystringSearch text to find in any property. Keyword mode matches any word, while semantic mode can surface close meanings and name variants.
search_modestringSearch mode: hybrid (default), keyword-only, semantic-only, or exact (case-insensitive equality on name/aliases/email: use before creating a memory).
similarity_thresholdnumberSemantic similarity threshold, 0 to 1 inclusive, defaults to 0.4.
since_datestringISO date string to filter memories created after this date (e.g., "2024-01-01" or "2024-01-01T00:00:00Z")

No output schema declared.

No examples provided.

update_connection ~102

Update properties of an existing connection between memories

NameTypeReqDescription
fromMemoryIdnumberyesID of the source memory
propertiesobjectyesProperties to update/add (e.g. {status: "completed", end_date: "2024-01"})
toMemoryIdnumberyesID of the target memory
typestringyesRelationship type to identify which connection to update (e.g. WORKS_AT, KNOWS, MANAGES)

No output schema declared.

No examples provided.

update_memory ~55

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

NameTypeReqDescription
nodeIdnumberyesID of the memory to update
propertiesobjectyesProperties to update/add

No output schema declared.

No examples provided.

Common questions

What is the Reverie MCP server?

Reverie is an MCP server listed in the public MCP registry as ai.knowall/reverie. Graph memory that dreams: Neo4j knowledge-graph memory for AI agents with hybrid search. This page covers its npm package (@knowall-ai/reverie).

Is the Reverie MCP server safe to use?

Reverie scores 84 out of 100 on VerifyMCP. We recorded 2 known advisories against it as of 20 September 2026. It declares no install or post-install scripts. Its build provenance is signed and verified. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the Reverie MCP server expose?

Reverie exposes 12 tools: search_memories, create_memory, create_connection, update_memory, update_connection, and 7 more. Their descriptions and schemas cost roughly 1,022 tokens of context every time the server is loaded.

Is the Reverie MCP server still maintained?

Reverie is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

What licence is the Reverie MCP server under?

Reverie declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.