Amazon Neptune MCP Server

by AkM-2018

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Python

Remote

Related Servers

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Deploy Server

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

B3.2/5.0

Scored 2026-04-18 06:35 across 4 tools

Disambiguation5/5

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.

Naming Consistency5/5

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.

Tool Count4/5

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.

Completeness3/5

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.