接入你的智能体
發布者自己的指令。不是 PlugMCP 端點。
用我們的金鑰與日誌託管一份副本。
uvx vector-knowledge-graph-mcp==1.0.10Claude Code 沒有本機指令的安裝連結。複製下方指令並在終端機中執行。
claude mcp add io.github.csoai-org-vector-knowledge-graph-mcp -- uvx vector-knowledge-graph-mcp==1.0.10在終端機中執行。
{ "mcpServers": { "io.github.csoai-org-vector-knowledge-graph-mcp": { "command": "uvx", "args": [ "vector-knowledge-graph-mcp==1.0.10" ] } }}claude_desktop_config.json
遠端 URL 還是本機指令？ 兩種安裝方式的差異
By MEOK AI Labs — MEOK AI Labs MCP Server
MEOK AI Labs MCP Server
MEOK AI Labs MCP Server
# Install via pip
pip install vector_knowledge_graph_mcp
# Or install via Smithery
npx -y @smithery/cli@latest install vector-knowledge-graph-mcp --client claude
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Add to your claude_desktop_config.json (Claude Desktop) or your MCP client config:
{
"mcpServers": {
"vector-knowledge-graph-mcp": {
"command": "uvx",
"args": ["vector-knowledge-graph-mcp"]
}
}
}
Or: pip install vector-knowledge-graph-mcp then run the vector-knowledge-graph-mcp command (stdio transport).
Once configured, ask your assistant, for example:
add_node to …"add_edge to …"semantic_node_search to …"AI-powered vector knowledge graph MCP server for agents. Supports add node, add edge, semantic node
{ "mcpServers": { "io.github.csoai-org-vector-knowledge-graph-mcp": { "command": "uvx", "args": [ "vector-knowledge-graph-mcp==1.0.10" ] } }}工具
尚無工具清單。遠端伺服器會在首次健康檢查後取得工具清單。
常見問題
在本頁複製適用於 Cursor、Claude Desktop、Claude Code 或 VS Code 的 stdio 設定。它使用發布者的安裝方式，而不是 PlugMCP 代理伺服器。
這筆記錄未列出必要的環境變數。
Vector Knowledge Graph 透過 stdio 在本機執行。
上次檢查時間：2026-11-09。 AI-powered vector knowledge graph MCP server for agents. Supports add node, add edge, semantic node