Reverie

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

What does this entry provide?

Reverie is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 73/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding Reverie to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.

Snapshot facts

Source: Official MCP Registry
Quality: 73/100
Install method: npm
Repo: knowall-ai/mcp-reverie
Repo updated: Sep 24, 2026

Install command

npx -y @knowall-ai/reverie@0.5.3

Install method: npm

Review the upstream source before running this command.

GitHub project Homepage

Quality

Repo stars

Repo updated

Sep 24, 2026

How is this score calculated?

Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.

MCP manifest

{
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "isLatest": true,
      "updatedAt": "2026-09-24T23:57:03.917312Z",
      "publishedAt": "2026-09-24T23:57:03.917312Z",
      "statusChangedAt": "2026-09-24T23:57:03.917312Z"
    }
  },
  "server": {
    "name": "ai.knowall/reverie",
    "title": "Reverie",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "version": "0.5.3",
    "packages": [
      {
        "version": "0.5.3",
        "transport": {
          "type": "stdio"
        },
        "identifier": "@knowall-ai/reverie",
        "registryType": "npm",
        "registryBaseUrl": "https://registry.npmjs.org",
        "environmentVariables": [
          {
            "name": "NEO4J_URI",
            "isRequired": true,
            "description": "Bolt URI of the Neo4j 5 database, e.g. bolt://localhost:7687"
          },
          {
            "name": "NEO4J_USERNAME",
            "isRequired": true,
            "description": "Neo4j user"
          },
          {
            "name": "NEO4J_PASSWORD",
            "isSecret": true,
            "isRequired": true,
            "description": "Neo4j password"
          },
          {
            "name": "NEO4J_DATABASE",
            "description": "Database name (Enterprise only; omit on Community Edition)"
          },
          {
            "name": "REVERIE_EMBEDDINGS",
            "description": "Embedding provider for semantic search: local (default, no API key), openai, azure, ollama, voyage or none"
          }
        ]
      }
    ],
    "repository": {
      "url": "https://github.com/knowall-ai/mcp-reverie",
      "source": "github"
    },
    "websiteUrl": "https://github.com/knowall-ai/mcp-reverie#readme",
    "description": "Graph memory that dreams: Neo4j knowledge-graph memory for AI agents with hybrid search"
  }
}

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