Amazon Neptune

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.

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 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

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:
- InstalluvfromAstralor theGitHub README
- Install Python usinguv python install 3.10

{ "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>" } } } }

After building withdocker 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>

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