@answerai/answeragent-mcp/dist/tools/document-stores.js

A lightweight Model Context Protocol (MCP) server for Answer AI chatflow and document store management

import { DocumentStoreService } from "../services/document-store.js";
const service = DocumentStoreService.getInstance();
export const listDocumentStores = {
    name: "list_document_stores",
    description: "List document stores",
    inputSchema: { type: "object", properties: {} },
    handler: async () => {
        const result = await service.listDocumentStores();
        return { content: [{ type: "text", text: JSON.stringify(result) }] };
    },
};
export const getDocumentStore = {
    name: "get_document_store",
    description: "Get a document store by ID",
    inputSchema: {
        type: "object",
        properties: { id: { type: "string" } },
        required: ["id"],
    },
    handler: async ({ id }) => {
        const result = await service.getDocumentStore(id);
        return { content: [{ type: "text", text: JSON.stringify(result) }] };
    },
};
export const createDocumentStore = {
    name: "create_document_store",
    description: "Create a document store",
    inputSchema: {
        type: "object",
        properties: {
            name: { type: "string" },
            description: { type: "string" },
        },
        required: ["name"],
    },
    handler: async (data) => {
        const result = await service.createDocumentStore(data);
        return { content: [{ type: "text", text: JSON.stringify(result) }] };
    },
};
export const updateDocumentStore = {
    name: "update_document_store",
    description: "Update a document store",
    inputSchema: {
        type: "object",
        properties: {
            id: { type: "string" },
            updates: { type: "object" },
        },
        required: ["id", "updates"],
    },
    handler: async ({ id, updates, }) => {
        const result = await service.updateDocumentStore(id, updates);
        return { content: [{ type: "text", text: JSON.stringify(result) }] };
    },
};
export const deleteDocumentStore = {
    name: "delete_document_store",
    description: "Delete a document store",
    inputSchema: {
        type: "object",
        properties: { id: { type: "string" } },
        required: ["id"],
    },
    handler: async ({ id }) => {
        await service.deleteDocumentStore(id);
        return { content: [{ type: "text", text: JSON.stringify({ success: true }) }] };
    },
};
export const upsertDocument = {
    name: "upsert_document",
    description: "Upsert document to store",
    inputSchema: {
        type: "object",
        properties: {
            id: { type: "string" },
            payload: { type: "object" },
        },
        required: ["id", "payload"],
    },
    handler: async ({ id, payload }) => {
        const result = await service.upsertDocument(id, payload);
        return { content: [{ type: "text", text: JSON.stringify(result) }] };
    },
};
export const refreshDocumentStore = {
    name: "refresh_document_store",
    description: "Refresh all documents in store",
    inputSchema: {
        type: "object",
        properties: {
            id: { type: "string" },
            payload: { type: "object" },
        },
        required: ["id", "payload"],
    },
    handler: async ({ id, payload }) => {
        const result = await service.refreshDocumentStore(id, payload);
        return { content: [{ type: "text", text: JSON.stringify(result) }] };
    },
};
export const queryVectorStore = {
    name: "query_vector_store",
    description: "Query vector store",
    inputSchema: {
        type: "object",
        properties: {
            storeId: { type: "string" },
            query: { type: "string" },
        },
        required: ["storeId", "query"],
    },
    handler: async ({ storeId, query }) => {
        const result = await service.queryVectorStore({ storeId, query });
        return { content: [{ type: "text", text: JSON.stringify(result) }] };
    },
};