← MCP Scorecard · rated by proofof.ai

vector-knowledge-graph-mcp

AI-powered vector knowledge graph MCP server for agents. Supports add node, add edge, semantic node

86/100  A  · ranked #239 of 339 MEOK MCPs · v1.0.4 · 5 tools

Is vector-knowledge-graph-mcp production-ready?

vector-knowledge-graph-mcp scores 86/100 on the proofof.ai 100-point rubric — flagship-grade (top tier). That is above the fleet average of 85. Install: pip install vector-knowledge-graph-mcp.

How does vector-knowledge-graph-mcp score across the 10 categories?

CategoryScore
README10/10
Tool design10/10
Examples10/10
Tests + CI10/10
Transports5/10
Metadata10/10
Reliability8/10
Security10/10
Docs surface7/10
Provenance/Revenue6/10

What can vector-knowledge-graph-mcp do?

Framework: fastmcp · transport: stdio. Tools: add_node, add_edge, semantic_node_search, trace_compliance_chain, find_gaps.

How to install vector-knowledge-graph-mcp

pip install vector-knowledge-graph-mcp

MCP client config: add {"command":"uvx","args":["vector-knowledge-graph-mcp"]} under mcpServers.

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