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query-knowledge-graph

Analyze code repositories to extract and visualize relationships between components, dependencies, and structures using knowledge graphs for better understanding and navigation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
repositoryUrlNo
contextDepthNo
includeExternalKnowledgeNo
outputFormatNojson

Implementation Reference

  • Exact MCP tool registration for 'query-knowledge-graph' including inline Zod input schema, handler function that calls the queryKnowledgeGraph helper, handles different output formats (text, json, visualization), and error handling.
    server.tool( "query-knowledge-graph", { query: z.string(), repositoryUrl: z.string().optional(), contextDepth: z.number().default(2), includeExternalKnowledge: z.boolean().default(true), outputFormat: z.enum(["text", "json", "visualization"]).default("json") }, async ({ query, repositoryUrl, contextDepth, includeExternalKnowledge, outputFormat }) => { try { const results = await queryKnowledgeGraph({ query, repositoryUrl, contextDepth, includeExternalKnowledge }); if (outputFormat === "visualization") { // Convert results to a visualization const visualization = await exportKnowledgeGraph(results, "mermaid"); return { content: [{ type: "text", text: visualization, _metadata: { format: "mermaid" } }] }; } if (outputFormat === "text") { // Format results as descriptive text return { content: [{ type: "text", text: formatGraphResultsAsText(results) }] }; } return { content: [{ type: "text", text: JSON.stringify(results, null, 2) }] }; } catch (error) { return { content: [{ type: "text", text: `Error querying knowledge graph: ${(error as Error).message}` }], isError: true }; } } );
  • Core handler logic for querying the knowledge graph: initializes from repository nodes, traverses relationships up to contextDepth levels, collects nodes and relationships.
    export async function queryKnowledgeGraph(query: GraphQuery): Promise<GraphQueryResult> { // Simple implementation for demonstration // A real implementation would use a graph query language const { repositoryUrl, contextDepth = 1 } = query; // Start with a basic implementation that returns nodes related to a repository let nodes: GraphNode[] = []; let relationships: GraphRelationship[] = []; if (repositoryUrl) { // Get all nodes and relationships for the repository const repoNodes = await findNodesByAttribute("url", repositoryUrl); if (repoNodes.length === 0) { return { nodes: [], relationships: [] }; } const repoId = repoNodes[0].id; // Get direct relationships const directRelationships = await findRelationshipsBySourceId(repoId); relationships.push(...directRelationships); // Get target nodes of direct relationships const directNodeIds = directRelationships.map(rel => rel.targetId); const directNodes = await findNodesById(directNodeIds); nodes.push(...repoNodes, ...directNodes); // If depth > 1, get additional levels of relationships if (contextDepth > 1) { for (let i = 1; i < contextDepth; i++) { const currentNodeIds = nodes.map(node => node.id); const relationshipsResult = await findRelationshipsBySourceIds(currentNodeIds); const nextRelationships = relationshipsResult.filter((rel: GraphRelationship) => !relationships.some(r => r.id === rel.id)); if (nextRelationships.length === 0) { break; } relationships.push(...nextRelationships); const nextNodeIds = nextRelationships.map((rel: GraphRelationship) => rel.targetId) .filter((id: string) => !nodes.some(node => node.id === id)); if (nextNodeIds.length === 0) { break; } const nextNodes = await findNodesById(nextNodeIds); nodes.push(...nextNodes); } } } return { nodes, relationships }; }
  • TypeScript type definitions for knowledge graph structures (GraphNode, GraphRelationship, GraphQueryResult, GraphQuery) used by the query-knowledge-graph tool implementation.
    /** * Represents a node in the knowledge graph */ export interface GraphNode { id: string; type: "function" | "file" | "class" | "variable" | "dependency" | "concept" | "repository"; name: string; attributes: Record<string, any>; } /** * Represents a relationship between nodes in the knowledge graph */ export interface GraphRelationship { id: string; type: "imports" | "calls" | "defines" | "extends" | "implements" | "uses" | "contains" | "relates_to"; sourceId: string; targetId: string; attributes: Record<string, any>; } /** * Structure for query results from the knowledge graph */ export interface GraphQueryResult { nodes: GraphNode[]; relationships: GraphRelationship[]; } /** * Parameters for querying the knowledge graph */ export interface GraphQuery { query: string; repositoryUrl?: string; contextDepth?: number; includeExternalKnowledge?: boolean; }
  • Helper function to format knowledge graph query results as human-readable text, used when outputFormat='text' in the tool handler.
    function formatGraphResultsAsText(results: any): string { const { nodes, relationships } = results; let text = `Query returned ${nodes.length} nodes and ${relationships.length} relationships.\n\n`; // Add node information text += "Nodes:\n"; nodes.forEach((node: any, index: number) => { text += `${index + 1}. [${node.type}] ${node.name}\n`; if (Object.keys(node.attributes).length > 0) { text += ` Attributes: ${JSON.stringify(node.attributes)}\n`; } }); // Add relationship information text += "\nRelationships:\n"; relationships.forEach((rel: any, index: number) => { const source = nodes.find((n: any) => n.id === rel.sourceId); const target = nodes.find((n: any) => n.id === rel.targetId); text += `${index + 1}. ${source?.name || rel.sourceId} [${rel.type}] ${target?.name || rel.targetId}\n`; }); return text; }

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