Skip to main content
Glama
index-tools.ts1.77 kB
/** * IndexFoundry-MCP Index Phase Tools * * Phase 4: Embedding and vector database operations. * All indexers produce artifacts in runs/<run_id>/indexed/ */ import type { IndexEmbedInput, IndexUpsertInput, IndexBuildProfileInput } from "../schemas/index.js"; export async function handleIndexEmbed( params: IndexEmbedInput ): Promise<{ content: Array<{ type: "text"; text: string }>; structuredContent?: unknown }> { // TODO: Implement embedding generation return { content: [{ type: "text", text: `[STUB] Would embed chunks using ${params.model.provider}/${params.model.model_name}` }], structuredContent: { success: false, error: { code: "NOT_IMPLEMENTED", message: "Embedding generation not yet implemented" } } }; } export async function handleIndexUpsert( params: IndexUpsertInput ): Promise<{ content: Array<{ type: "text"; text: string }>; structuredContent?: unknown }> { // TODO: Implement vector DB upsert return { content: [{ type: "text", text: `[STUB] Would upsert to ${params.provider}/${params.connection.collection}` }], structuredContent: { success: false, error: { code: "NOT_IMPLEMENTED", message: "Vector upsert not yet implemented" } } }; } export async function handleIndexBuildProfile( params: IndexBuildProfileInput ): Promise<{ content: Array<{ type: "text"; text: string }>; structuredContent?: unknown }> { // TODO: Implement retrieval profile building return { content: [{ type: "text", text: `[STUB] Would build retrieval profile with modes: ${params.retrieval_config.search_modes.join(", ")}` }], structuredContent: { success: false, error: { code: "NOT_IMPLEMENTED", message: "Profile building not yet implemented" } } }; }

Latest Blog Posts

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/Mnehmos/mnehmos.index-foundry.mcp'

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