Voyageai Cli

Created By

mrlynn5 months ago

MCP server for Voyage AI embeddings, reranking, and MongoDB Atlas Vector Search. Provides 11 tools for semantic search, document ingestion, cost estimation, and model exploration. Full RAG pipeline: chunk, embed, vector search, and rerank from any MCP client.

# voyage-ai

# embeddings

Overview Content Tools Comments

Overview

What is voyageai-cli?

An MCP server that gives AI agents access to Voyage AI's embedding and reranking models plus MongoDB Atlas Vector Search. Build RAG pipelines without leaving your agent.

11 Tools

Retrieval: vai_query (full RAG), vai_search (vector search), vai_rerank (reranking)

Embedding: vai_embed (generate vectors), vai_similarity (cosine similarity)

Management: vai_collections (list indexes), vai_models (browse models)

Utility: vai_topics, vai_explain (learn about embeddings/RAG), vai_estimate (cost calculator)

Ingestion: vai_ingest (chunk, embed, store documents)

Install

npm install -g voyageai-cli vai mcp install claude-code vai mcp install all

Or use npx with no install required (see Server Config above).

Requirements

Node.js 20+
Voyage AI API key (free at dash.voyageai.com)
MongoDB Atlas cluster (for retrieval/ingestion tools, optional for utility tools)

Server Config

{
  "mcpServers": {
    "vai": {
      "command": "npx",
      "args": [
        "voyageai-cli",
        "mcp-server"
      ],
      "env": {
        "VOYAGE_API_KEY": "<YOUR_VOYAGE_API_KEY>"
      }
    }
  }
}

Project Info

Created At

5 months ago

Updated At

5 months ago

Author Name

mrlynn

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