Knowledge Graph MCP Server
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TDQS
Scored across 15 tools
Each tool has a clearly distinct purpose targeting specific graph elements (nodes, edges, graphs, resources) with precise actions (add, delete, update, list, get). No overlap exists; for example, delete_edge, delete_node, and delete_resource handle different entities, and update tools are clearly separated by target. The descriptions reinforce these distinctions, making misselection unlikely.
All tool names follow a consistent verb_noun pattern with snake_case throughout, such as add_edge, list_graphs, update_node, and get_node_details. The verbs (add, create, delete, get, list, publish, save, unlink, update) are used predictably across similar operations, enhancing readability and predictability for agents.
With 15 tools, the count is well-scoped for a knowledge graph management server, covering CRUD operations for graphs, nodes, edges, and resources, plus auxiliary tools like publish_graph and get_creation_guidelines. Each tool earns its place by addressing specific needs in graph lifecycle management, avoiding redundancy while ensuring comprehensive coverage.
The tool set provides complete CRUD/lifecycle coverage for knowledge graphs, including creation (create_graph), modification (add/update/delete for nodes, edges, resources), querying (list_graphs, get_node_details), and publishing (publish_graph). No obvious gaps exist; tools like get_creation_guidelines and unlink_resource address nuanced needs, ensuring agents can handle all typical workflows without dead ends.