Voyageai Cli
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.
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)
Links
- Information: https://vai.mlynn.org
- Documentation: https://github.com/mrlynn/voyageai-cli/blob/main/docs/mcp-server.md
- npm: https://www.npmjs.com/package/voyageai-cli
Server Config
{
"mcpServers": {
"vai": {
"command": "npx",
"args": [
"voyageai-cli",
"mcp-server"
],
"env": {
"VOYAGE_API_KEY": "<YOUR_VOYAGE_API_KEY>"
}
}
}
}Project Info
Created At
4 months agoUpdated At
4 months agoAuthor Name
mrlynnStar
-Language
-License
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