Skip to main content
Glama

WebDAV MCP Server

by masx200
index.ts17.6 kB
#!/usr/bin/env node import { Server } from "@modelcontextprotocol/sdk/server/index.js"; import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js"; import { CallToolRequestSchema, ListToolsRequestSchema, } from "@modelcontextprotocol/sdk/types.js"; import { promises as fs } from "fs"; import path from "path"; import { fileURLToPath } from "url"; // Define memory file path using environment variable with fallback const defaultMemoryPath = path.join( path.dirname(fileURLToPath(import.meta.url)), "memory.json", ); // If MEMORY_FILE_PATH is just a filename, put it in the same directory as the script const MEMORY_FILE_PATH = process.env.MEMORY_FILE_PATH ? path.isAbsolute(process.env.MEMORY_FILE_PATH) ? process.env.MEMORY_FILE_PATH : path.join( path.dirname(fileURLToPath(import.meta.url)), process.env.MEMORY_FILE_PATH, ) : defaultMemoryPath; // We are storing our memory using entities, relations, and observations in a graph structure interface Entity { name: string; entityType: string; observations: string[]; } interface Relation { from: string; to: string; relationType: string; } interface KnowledgeGraph { entities: Entity[]; relations: Relation[]; } // The KnowledgeGraphManager class contains all operations to interact with the knowledge graph class KnowledgeGraphManager { private async loadGraph(): Promise<KnowledgeGraph> { try { const data = await fs.readFile(MEMORY_FILE_PATH, "utf-8"); const lines = data.split("\n").filter((line) => line.trim() !== ""); return lines.reduce((graph: KnowledgeGraph, line) => { const item = JSON.parse(line); if (item.type === "entity") graph.entities.push(item as Entity); if (item.type === "relation") graph.relations.push(item as Relation); return graph; }, { entities: [], relations: [] }); } catch (error) { if ( error instanceof Error && "code" in error && (error as any).code === "ENOENT" ) { return { entities: [], relations: [] }; } throw error; } } private async saveGraph(graph: KnowledgeGraph): Promise<void> { const lines = [ ...graph.entities.map((e) => JSON.stringify({ type: "entity", name: e.name, entityType: e.entityType, observations: e.observations, }) ), ...graph.relations.map((r) => JSON.stringify({ type: "relation", from: r.from, to: r.to, relationType: r.relationType, }) ), ]; await fs.writeFile(MEMORY_FILE_PATH, lines.join("\n")); } async createEntities(entities: Entity[]): Promise<Entity[]> { const graph = await this.loadGraph(); const newEntities = entities.filter((e) => !graph.entities.some((existingEntity) => existingEntity.name === e.name) ); graph.entities.push(...newEntities); await this.saveGraph(graph); return newEntities; } async createRelations(relations: Relation[]): Promise<Relation[]> { const graph = await this.loadGraph(); const newRelations = relations.filter((r) => !graph.relations.some((existingRelation) => existingRelation.from === r.from && existingRelation.to === r.to && existingRelation.relationType === r.relationType ) ); graph.relations.push(...newRelations); await this.saveGraph(graph); return newRelations; } async addObservations( observations: { entityName: string; contents: string[] }[], ): Promise<{ entityName: string; addedObservations: string[] }[]> { const graph = await this.loadGraph(); const results = observations.map((o) => { const entity = graph.entities.find((e) => e.name === o.entityName); if (!entity) { throw new Error(`Entity with name ${o.entityName} not found`); } const newObservations = o.contents.filter((content) => !entity.observations.includes(content) ); entity.observations.push(...newObservations); return { entityName: o.entityName, addedObservations: newObservations }; }); await this.saveGraph(graph); return results; } async deleteEntities(entityNames: string[]): Promise<void> { const graph = await this.loadGraph(); graph.entities = graph.entities.filter((e) => !entityNames.includes(e.name) ); graph.relations = graph.relations.filter((r) => !entityNames.includes(r.from) && !entityNames.includes(r.to) ); await this.saveGraph(graph); } async deleteObservations( deletions: { entityName: string; observations: string[] }[], ): Promise<void> { const graph = await this.loadGraph(); deletions.forEach((d) => { const entity = graph.entities.find((e) => e.name === d.entityName); if (entity) { entity.observations = entity.observations.filter((o) => !d.observations.includes(o) ); } }); await this.saveGraph(graph); } async deleteRelations(relations: Relation[]): Promise<void> { const graph = await this.loadGraph(); graph.relations = graph.relations.filter((r) => !relations.some((delRelation) => r.from === delRelation.from && r.to === delRelation.to && r.relationType === delRelation.relationType ) ); await this.saveGraph(graph); } async readGraph(): Promise<KnowledgeGraph> { return this.loadGraph(); } // Very basic search function async searchNodes(query: string): Promise<KnowledgeGraph> { const graph = await this.loadGraph(); // Filter entities const filteredEntities = graph.entities.filter((e) => e.name.toLowerCase().includes(query.toLowerCase()) || e.entityType.toLowerCase().includes(query.toLowerCase()) || e.observations.some((o) => o.toLowerCase().includes(query.toLowerCase())) ); // Create a Set of filtered entity names for quick lookup const filteredEntityNames = new Set(filteredEntities.map((e) => e.name)); // Filter relations to only include those between filtered entities const filteredRelations = graph.relations.filter((r) => filteredEntityNames.has(r.from) && filteredEntityNames.has(r.to) ); const filteredGraph: KnowledgeGraph = { entities: filteredEntities, relations: filteredRelations, }; return filteredGraph; } async openNodes(names: string[]): Promise<KnowledgeGraph> { const graph = await this.loadGraph(); // Filter entities const filteredEntities = graph.entities.filter((e) => names.includes(e.name) ); // Create a Set of filtered entity names for quick lookup const filteredEntityNames = new Set(filteredEntities.map((e) => e.name)); // Filter relations to only include those between filtered entities const filteredRelations = graph.relations.filter((r) => filteredEntityNames.has(r.from) && filteredEntityNames.has(r.to) ); const filteredGraph: KnowledgeGraph = { entities: filteredEntities, relations: filteredRelations, }; return filteredGraph; } } const knowledgeGraphManager = new KnowledgeGraphManager(); // The server instance and tools exposed to Claude const server = new Server({ name: "memory-server", version: "0.6.3", }, { capabilities: { tools: {}, }, }); server.setRequestHandler(ListToolsRequestSchema, async () => { return { tools: [ { name: "create_entities", description: "Create multiple new entities in the knowledge graph", inputSchema: { type: "object", properties: { entities: { type: "array", items: { type: "object", properties: { name: { type: "string", description: "The name of the entity", }, entityType: { type: "string", description: "The type of the entity", }, observations: { type: "array", items: { type: "string" }, description: "An array of observation contents associated with the entity", }, }, required: ["name", "entityType", "observations"], additionalProperties: false, }, }, }, required: ["entities"], additionalProperties: false, }, }, { name: "create_relations", description: "Create multiple new relations between entities in the knowledge graph. Relations should be in active voice", inputSchema: { type: "object", properties: { relations: { type: "array", items: { type: "object", properties: { from: { type: "string", description: "The name of the entity where the relation starts", }, to: { type: "string", description: "The name of the entity where the relation ends", }, relationType: { type: "string", description: "The type of the relation", }, }, required: ["from", "to", "relationType"], additionalProperties: false, }, }, }, required: ["relations"], additionalProperties: false, }, }, { name: "add_observations", description: "Add new observations to existing entities in the knowledge graph", inputSchema: { type: "object", properties: { observations: { type: "array", items: { type: "object", properties: { entityName: { type: "string", description: "The name of the entity to add the observations to", }, contents: { type: "array", items: { type: "string" }, description: "An array of observation contents to add", }, }, required: ["entityName", "contents"], additionalProperties: false, }, }, }, required: ["observations"], additionalProperties: false, }, }, { name: "delete_entities", description: "Delete multiple entities and their associated relations from the knowledge graph", inputSchema: { type: "object", properties: { entityNames: { type: "array", items: { type: "string" }, description: "An array of entity names to delete", }, }, required: ["entityNames"], additionalProperties: false, }, }, { name: "delete_observations", description: "Delete specific observations from entities in the knowledge graph", inputSchema: { type: "object", properties: { deletions: { type: "array", items: { type: "object", properties: { entityName: { type: "string", description: "The name of the entity containing the observations", }, observations: { type: "array", items: { type: "string" }, description: "An array of observations to delete", }, }, required: ["entityName", "observations"], additionalProperties: false, }, }, }, required: ["deletions"], additionalProperties: false, }, }, { name: "delete_relations", description: "Delete multiple relations from the knowledge graph", inputSchema: { type: "object", properties: { relations: { type: "array", items: { type: "object", properties: { from: { type: "string", description: "The name of the entity where the relation starts", }, to: { type: "string", description: "The name of the entity where the relation ends", }, relationType: { type: "string", description: "The type of the relation", }, }, required: ["from", "to", "relationType"], additionalProperties: false, }, description: "An array of relations to delete", }, }, required: ["relations"], additionalProperties: false, }, }, { name: "read_graph", description: "Read the entire knowledge graph", inputSchema: { type: "object", properties: {}, additionalProperties: false, }, }, { name: "search_nodes", description: "Search for nodes in the knowledge graph based on a query", inputSchema: { type: "object", properties: { query: { type: "string", description: "The search query to match against entity names, types, and observation content", }, }, required: ["query"], additionalProperties: false, }, }, { name: "open_nodes", description: "Open specific nodes in the knowledge graph by their names", inputSchema: { type: "object", properties: { names: { type: "array", items: { type: "string" }, description: "An array of entity names to retrieve", }, }, required: ["names"], additionalProperties: false, }, }, ], }; }); server.setRequestHandler(CallToolRequestSchema, async (request) => { const { name, arguments: args } = request.params; if (name === "read_graph") { return { content: [{ type: "text", text: JSON.stringify(await knowledgeGraphManager.readGraph(), null, 2), }], }; } if (!args) { throw new Error(`No arguments provided for tool: ${name}`); } switch (name) { case "create_entities": return { content: [{ type: "text", text: JSON.stringify( await knowledgeGraphManager.createEntities( args.entities as Entity[], ), null, 2, ), }], }; case "create_relations": return { content: [{ type: "text", text: JSON.stringify( await knowledgeGraphManager.createRelations( args.relations as Relation[], ), null, 2, ), }], }; case "add_observations": return { content: [{ type: "text", text: JSON.stringify( await knowledgeGraphManager.addObservations( args.observations as { entityName: string; contents: string[] }[], ), null, 2, ), }], }; case "delete_entities": await knowledgeGraphManager.deleteEntities(args.entityNames as string[]); return { content: [{ type: "text", text: "Entities deleted successfully" }], }; case "delete_observations": await knowledgeGraphManager.deleteObservations( args.deletions as { entityName: string; observations: string[] }[], ); return { content: [{ type: "text", text: "Observations deleted successfully" }], }; case "delete_relations": await knowledgeGraphManager.deleteRelations(args.relations as Relation[]); return { content: [{ type: "text", text: "Relations deleted successfully" }], }; case "search_nodes": return { content: [{ type: "text", text: JSON.stringify( await knowledgeGraphManager.searchNodes(args.query as string), null, 2, ), }], }; case "open_nodes": return { content: [{ type: "text", text: JSON.stringify( await knowledgeGraphManager.openNodes(args.names as string[]), null, 2, ), }], }; default: throw new Error(`Unknown tool: ${name}`); } }); async function main() { const transport = new StdioServerTransport(); await server.connect(transport); console.error("Knowledge Graph MCP Server running on stdio"); } main().catch((error) => { console.error("Fatal error in main():", error); process.exit(1); });

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/masx200/mcp-webdav-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server