Amazon Neptune MCP Server
Provides tools to fetch status, retrieve graph schemas, and execute openCypher or Gremlin queries against Amazon Neptune Database and Amazon Neptune Analytics instances.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Amazon Neptune MCP Server Show me the schema of my Neptune graph and check its connection status."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
AWS Labs Amazon Neptune MCP Server
An Amazon Neptune MCP server that allows for fetching status, schema, and querying using openCypher and Gremlin for Neptune Database and openCypher for Neptune Analytics.
Features
The Amazon Neptune MCP Server provides the following capabilities:
Run Queries: Execute openCypher and/or Gremlin queries against the configured database
Schema: Get the schema in the configured graph as a text string
Status: Find if the graph is "Available" or "Unavailable" to your server. This is useful in helping to ensure that the graph is connected.
AWS Requirements
AWS CLI Configuration: You must have the AWS CLI configured with credentials and an AWS_PROFILE that has access to Amazon Neptune
Amazon Neptune: You must have at least one Amazon Neptune Database or Amazon Neptune Analytics graph.
IAM Permissions: Your IAM role/user must have appropriate permissions to:
Access Amazon Neptune
Query Amazon Neptune
Access: The location where you are running the server must have access to the Amazon Neptune instance. Neptune Database resides in a private VPC so access into the private VPC. Neptune Analytics can be access either using a public endpoint, if configured, or the access will be needed to the private endpoint.
Note: This server will run any query sent to it, which could include both mutating and read-only actions. Properly configuring the permissions of the role to allow/disallow specific data plane actions as specified here:
Related MCP server: neo4j-server-remote
Prerequisites
Install
uvfrom Astral or the GitHub READMEInstall Python using
uv python install 3.10
Installation
Below is an example of how to configure your MCP client, although different clients may require a different format.
{
"mcpServers": {
"Neptune Query": {
"command": "uvx",
"args": ["awslabs.amazon-neptune-mcp-server@latest"],
"env": {
"FASTMCP_LOG_LEVEL": "INFO",
"NEPTUNE_ENDPOINT": "<INSERT NEPTUNE ENDPOINT IN FORMAT SPECIFIED BELOW>"
}
}
}
}
Docker Configuration
After building with docker build -t awslabs/amazon-neptune-mcp-server .:
{
"mcpServers": {
"awslabs.amazon-neptune-mcp-server": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"awslabs/amazon-neptune-mcp-server"
],
"env": {
"FASTMCP_LOG_LEVEL": "INFO",
"NEPTUNE_ENDPOINT": "<INSERT NEPTUNE ENDPOINT IN FORMAT SPECIFIED BELOW>"
},
"disabled": false,
"autoApprove": []
}
}
}When specifying the Neptune Endpoint the following formats are expected:
For Neptune Database:
neptune-db://<Cluster Endpoint>
For Neptune Analytics:
neptune-graph://<graph identifier>
Available Tools
4 toolsget_graph_schemaB
Get the schema for the graph including the vertex and edge labels as well as the (vertex)-[edge]->(vertex) combinations.
Inputs: no named parameters.
get_graph_statusB
Get the status of the currently configured Amazon Neptune graph.
Inputs: no named parameters.
run_gremlin_queryC
Executes the provided Tinkerpop Gremlin against the graph.
Inputs: query (required).
run_opencypher_queryC
Executes the provided openCypher against the graph.
Inputs: query (required), parameters.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 4 tools
Each tool has a clearly distinct purpose with no overlap: get_graph_schema retrieves schema information, get_graph_status checks system status, run_gremlin_query executes Gremlin queries, and run_opencypher_query executes openCypher queries. The descriptions make it unambiguous which tool to use for each type of operation.
All tools follow a consistent verb_noun pattern with snake_case: get_graph_schema, get_graph_status, run_gremlin_query, and run_opencypher_query. The naming is predictable and readable throughout the set.
With 4 tools, the count is reasonable for a graph database server, covering schema, status, and query execution. It might be slightly thin for advanced operations like data manipulation or monitoring, but it's well-scoped for core functionality.
The tools cover schema retrieval, status checks, and query execution for two query languages (Gremlin and openCypher), which is good for basic operations. However, there are notable gaps: no tools for creating/updating/deleting data, managing configurations, or handling transactions, which could limit agent workflows in a database context.
Maintenance
Related MCP Connectors
Run SOQL queries to explore and retrieve Salesforce data. Inspect records, fields, and relationshi…
Run SOQL queries against your Salesforce org to retrieve records and insights. Explore objects, fi…
Run SOQL queries against your Salesforce org to explore and retrieve data. Quickly iterate on filt…
List datasets, schemas, run APL queries, and use prompts for exploration, anomalies, and monitoring.
Related MCP Servers
- AlicenseAqualityNot gradedmaintenanceEnables access to Amazon Managed Prometheus workspaces through natural language queries. Supports listing workspaces, executing PromQL queries, and retrieving workspace details and metrics with AWS authentication.4MIT
- AlicenseNot gradedqualityDmaintenanceEnables interaction with Neo4j graph databases through Cypher queries, supporting both read and write operations, schema exploration, and remote database connections via SSE or STDIO transport protocols.5MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to interact with Gremlin-compatible graph databases through natural language, supporting schema discovery, complex graph queries, relationship analysis, and data import/export operations.12 npm9MIT
- AlicenseNot gradedqualityDmaintenanceEnables interacting with Amazon Redshift databases through SQL queries, schema exploration, and execution plan analysis.5MIT