LabStore

Neo4j Data Modeling

by docker ✓ verified ✓ Packaged by Docker

MCP server that assists in creating, validating and visualizing graph data models.

MCP server installable needs setup network: on runtime: sysbox

DevOps MCP Servers

Neo4j Data Modeling MCP Server

MCP server that assists in creating, validating and visualizing graph data models.

What is an MCP Server?

MCP Info

Attribute	Details
Docker Image	mcp/neo4j-data-modeling
Author	neo4j-contrib
Repository	https://github.com/neo4j-contrib/mcp-neo4j

Image Building Info

Attribute	Details
Dockerfile	https://github.com/neo4j-contrib/mcp-neo4j/blob/dbc01ba78f171851f2d57dcd125b028c29912fd1/servers/mcp-neo4j-data-modeling/Dockerfile
Commit	`dbc01ba78f171851f2d57dcd125b028c29912fd1`
Docker Image built by	Docker Inc.
Docker Scout Health Score	Docker Scout Health Score
Verify Signature	`COSIGN_REPOSITORY=mcp/signatures cosign verify mcp/neo4j-data-modeling --key https://raw.githubusercontent.com/docker/keyring/refs/heads/main/public/mcp/latest.pub`
Licence	MIT License

Available Tools (16)

Tools provided by this Server	Short Description
`export_to_arrows_json`	Export to Arrows JSON
`export_to_neo4j_graphrag_pkg_schema`	Export to Neo4j GraphRAG Schema
`export_to_owl_turtle`	Export to OWL Turtle
`export_to_pydantic_models`	Export to Pydantic Models
`get_constraints_cypher_queries`	Get Constraints Cypher Queries
`get_example_data_model`	Get Example Data Model
`get_mermaid_config_str`	Get Mermaid Config
`get_node_cypher_ingest_query`	Get Node Cypher Ingest Query
`get_relationship_cypher_ingest_query`	Get Relationship Cypher Ingest Query
`list_example_data_models`	List Example Data Models
`load_from_arrows_json`	Load from Arrows JSON
`load_from_neo4j_graphrag_pkg_schema`	Load from Neo4j GraphRAG Schema
`load_from_owl_turtle`	Load from OWL Turtle
`validate_data_model`	Validate Data Model
`validate_node`	Validate Node
`validate_relationship`	Validate Relationship

Tools Details

Tool: `export_to_arrows_json`

Export the data model to the Arrows web application format. Returns a JSON string. This should be presented to the user as an artifact if possible. Accepts either a DataModel object or a JSON string of the DataModel object.

Parameters	Type	Description
`data_model`	`string`

This tool is read-only. It does not modify its environment.

Tool: `export_to_neo4j_graphrag_pkg_schema`

Export a data model to a Neo4j Graphrag Python Package schema. Returns a dictionary containing the Neo4j Graphrag Python Package schema. Accepts either a DataModel object or a JSON string of the DataModel object.

Parameters	Type	Description
`data_model`	`string`

This tool is read-only. It does not modify its environment.

Tool: `export_to_owl_turtle`

Export a data model to an OWL Turtle string. This process is lossy since OWL does not support properties on relationships. Returns a string representation of the data model in OWL Turtle format. Accepts either a DataModel object or a JSON string of the DataModel object.

Parameters	Type	Description
`data_model`	`string`

This tool is read-only. It does not modify its environment.

Tool: `export_to_pydantic_models`

Export a data model to Pydantic models. Returns a string representation of the Pydantic models for the data model as a Python file. Accepts either a DataModel object or a JSON string of the DataModel object.

Parameters	Type	Description
`data_model`	`string`

This tool is read-only. It does not modify its environment.

Tool: `get_constraints_cypher_queries`

Get the Cypher queries to create constraints on the data model. This creates range indexes on the key properties of the nodes and relationships and enforces uniqueness and existence of the key properties. Accepts either a DataModel object or a JSON string of the DataModel object.

Parameters	Type	Description
`data_model`	`string`

This tool is read-only. It does not modify its environment.

Tool: `get_example_data_model`

Get an example graph data model from the available templates. Returns a DataModel object and the Mermaid visualization configuration for the example graph data model.

Parameters	Type	Description
`example_name`	`string`	Name of the example to load: 'patient_journey', 'supply_chain', 'software_dependency', 'oil_gas_monitoring', 'customer_360', 'fraud_aml', or 'health_insurance_fraud'

This tool is read-only. It does not modify its environment.

Tool: `get_mermaid_config_str`

Get the Mermaid configuration string for the data model. This may be visualized in Claude Desktop and other applications with Mermaid support. Accepts either a DataModel object or a JSON string of the DataModel object.

Parameters	Type	Description
`data_model`	`string`

This tool is read-only. It does not modify its environment.

Tool: `get_node_cypher_ingest_query`

Get the Cypher query to ingest a list of Node records into a Neo4j database. This should be used to ingest data into a Neo4j database. This is a parameterized Cypher query that takes a list of records as input to the $records parameter.

Parameters	Type	Description
`node`	`string`	The node to get the Cypher query for. Accepts either a Node object or a JSON string of the Node object.

This tool is read-only. It does not modify its environment.

Tool: `get_relationship_cypher_ingest_query`

Get the Cypher query to ingest a list of Relationship records into a Neo4j database. This should be used to ingest data into a Neo4j database. This is a parameterized Cypher query that takes a list of records as input to the $records parameter. The records must contain the Relationship properties, if any, as well as the sourceId and targetId properties of the start and end nodes respectively.

Parameters	Type	Description
`data_model`	`string`	The data model snippet that contains the relationship, start node and end node. Accepts either a DataModel object or a JSON string of the DataModel object.
`relationship_end_node_label`	`string`	The label of the relationship end node.
`relationship_start_node_label`	`string`	The label of the relationship start node.
`relationship_type`	`string`	The type of the relationship to get the Cypher query for.

This tool is read-only. It does not modify its environment.

Tool: `list_example_data_models`

List all available example data models with descriptions. Returns a dictionary with example names and their descriptions.

Tool: `load_from_arrows_json`

Load a data model from the Arrows web application format. Returns a data model as a JSON string.

Parameters	Type	Description
`arrows_data_model_dict`	`object`

This tool is read-only. It does not modify its environment.

Tool: `load_from_neo4j_graphrag_pkg_schema`

Load a data model from a Neo4j Graphrag Python Package schema. Returns a DataModel object. Accepts a Neo4j Graphrag Python Package schema dictionary.

Parameters	Type	Description
`neo4j_graphrag_python_package_schema`	`object`

This tool is read-only. It does not modify its environment.

Tool: `load_from_owl_turtle`

Load a data model from an OWL Turtle string. This process is lossy and some components of the ontology may be lost in the data model schema. Returns a DataModel object.

Parameters	Type	Description
`owl_turtle_str`	`string`

This tool is read-only. It does not modify its environment.

Tool: `validate_data_model`

Validate the entire data model. Returns True if the data model is valid, otherwise raises a ValueError. If return_validated is True, returns the validated data model. Accepts either a DataModel object or a JSON string of the DataModel object.

Parameters	Type	Description
`data_model`	`string`
`return_validated`	`boolean` optional

This tool is read-only. It does not modify its environment.

Tool: `validate_node`

Validate a single node. Returns True if the node is valid, otherwise raises a ValueError. If return_validated is True, returns the validated node. Accepts either a Node object or a JSON string of the Node object.

Parameters	Type	Description
`node`	`string`
`return_validated`	`boolean` optional

This tool is read-only. It does not modify its environment.

Tool: `validate_relationship`

Validate a single relationship. Returns True if the relationship is valid, otherwise raises a ValueError. If return_validated is True, returns the validated relationship. Accepts either a Relationship object or a JSON string of the Relationship object.

Parameters	Type	Description
`relationship`	`string`
`return_validated`	`boolean` optional

This tool is read-only. It does not modify its environment.

Use this MCP Server

{
  "mcpServers": {
    "neo4j-data-modeling": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "NEO4J_TRANSPORT",
        "-e",
        "NEO4J_MCP_SERVER_HOST",
        "-e",
        "NEO4J_MCP_SERVER_PORT",
        "-e",
        "NEO4J_MCP_SERVER_PATH",
        "-e",
        "NEO4J_MCP_SERVER_ALLOW_ORIGINS",
        "-e",
        "NEO4J_MCP_SERVER_ALLOWED_HOSTS",
        "mcp/neo4j-data-modeling"
      ],
      "env": {
        "NEO4J_TRANSPORT": "http",
        "NEO4J_MCP_SERVER_HOST": "0.0.0.0",
        "NEO4J_MCP_SERVER_PORT": "8000",
        "NEO4J_MCP_SERVER_PATH": "/mcp/",
        "NEO4J_MCP_SERVER_ALLOW_ORIGINS": "example.com,www.example.com",
        "NEO4J_MCP_SERVER_ALLOWED_HOSTS": "localhost,127.0.0.1"
      }
    }
  }
}

Why is it safer to run MCP Servers with Docker?

Install

Open LabStore on any connected Selfmade Ninja Labs instance and press Get — or run this from the instance shell:

labsctl store-install mcp-neo4j-data-modeling

About

Kind: MCP server
Publisher: docker
Version: 75b7ffb14ca4
Updated: 13 Oct 2026
Transport: stdio
Licence: MIT License
Owner: neo4j-contrib
Packaged by: Docker

Tools (16)

export_to_arrows_json: Export the data model to the Arrows web application format. Returns a JSON string. This should be presented to the user as an artifact if possible. Accepts eith
export_to_neo4j_graphrag_pkg_schema: Export a data model to a Neo4j Graphrag Python Package schema. Returns a dictionary containing the Neo4j Graphrag Python Package schema. Accepts either a DataMo
export_to_owl_turtle: Export a data model to an OWL Turtle string. This process is lossy since OWL does not support properties on relationships. Returns a string representation of th
export_to_pydantic_models: Export a data model to Pydantic models. Returns a string representation of the Pydantic models for the data model as a Python file. Accepts either a DataModel o
get_constraints_cypher_queries: Get the Cypher queries to create constraints on the data model. This creates range indexes on the key properties of the nodes and relationships and enforces uni
get_example_data_model: Get an example graph data model from the available templates. Returns a DataModel object and the Mermaid visualization configuration for the example graph data
get_mermaid_config_str: Get the Mermaid configuration string for the data model. This may be visualized in Claude Desktop and other applications with Mermaid support. Accepts either a
get_node_cypher_ingest_query: Get the Cypher query to ingest a list of Node records into a Neo4j database. This should be used to ingest data into a Neo4j database. This is a parameterized C
get_relationship_cypher_ingest_query: Get the Cypher query to ingest a list of Relationship records into a Neo4j database. This should be used to ingest data into a Neo4j database. This is a paramet
list_example_data_models: List all available example data models with descriptions. Returns a dictionary with example names and their descriptions.
load_from_arrows_json: Load a data model from the Arrows web application format. Returns a data model as a JSON string.
load_from_neo4j_graphrag_pkg_schema: Load a data model from a Neo4j Graphrag Python Package schema. Returns a DataModel object. Accepts a Neo4j Graphrag Python Package schema dictionary.
load_from_owl_turtle: Load a data model from an OWL Turtle string. This process is lossy and some components of the ontology may be lost in the data model schema. Returns a DataModel
validate_data_model: Validate the entire data model. Returns True if the data model is valid, otherwise raises a ValueError. If return_validated is True, returns the validated data
validate_node: Validate a single node. Returns True if the node is valid, otherwise raises a ValueError. If return_validated is True, returns the validated node. Accepts eithe
validate_relationship: Validate a single relationship. Returns True if the relationship is valid, otherwise raises a ValueError. If return_validated is True, returns the validated rel

Source

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image mcp/neo4j-data-modeling@sha256:3c72de00df50d42a0950615755f596d75ebcf970afb82b9046d7c931ca920265

digest sha256:3c72de00df50d42a095…

Every store app is stripped of privileged/host-mount settings at install and runs contained on the installing host. The rules.