Download PDFMarkdown Version
ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Voyage AI with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Generate high-quality text, multimodal, and contextualized embeddings, plus high-precision reranking for RAG workflows.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 13 capabilities

The complete Voyage AI capability set.

These are the exact actions your AI can choose when you ask it to work with Voyage AI.

Capability set01 / 04

01-04

4 capabilities in this set.

Part of 13 available through Voyage AI.

  1. 01

    Cancel batch

    Cancel a batch job

  2. 02

    Create embeddings

    Create text embeddings

  3. 03

    Get batch

    Retrieve batch status

  4. 04

    Get file

    Retrieve file metadata

Capability set02 / 04

05-07

3 capabilities in this set.

Part of 13 available through Voyage AI.

  1. 05

    List batches

    List all batches

  2. 06

    List files

    List all files

  3. 07

    Create batch

    Create a batch inference job

Capability set03 / 04

08-10

3 capabilities in this set.

Part of 13 available through Voyage AI.

  1. 08

    Create contextualized embeddings

    Create contextualized chunk embeddings

  2. 09

    Create multimodal embeddings

    Create multimodal embeddings

  3. 10

    Delete file

    Delete a file

Capability set04 / 04

11-13

3 capabilities in this set.

Part of 13 available through Voyage AI.

  1. 11

    Get file content

    Download file content

  2. 12

    Rerank

    Rerank documents against a query

  3. 13

    Upload file

    Purpose must be "batch". Upload a file for batch inference

Observed, not estimated

913ms average. Fast in production.

Voyage AI is checked daily against the live service.

Daily averagePeak 1205ms
Aug 20Today
Fastest day
749ms
Slowest day
1205ms
14-day trend
Slowing+12%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 13 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Voyage AI, so you can see the experience inside your AI.

It does not authenticate your account with Voyage AI. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Voyage AI Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_x7lwFbbAdz5StvxoOu2Tkh9eDMu9Uh5i3GKObLMP/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Voyage AI capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "voyage-ai-ai-embeddings-api-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_x7lwFbbAdz5StvxoOu2Tkh9eDMu9Uh5i3GKObLMP/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions Voyage AI owners ask.

  • 01

    How does reranking improve my RAG system's accuracy?

    By using the rerank capability, your agent can take a list of potentially relevant documents and re-score them using a powerful cross-encoder model. This ensures that the most semantically relevant pieces of information are ranked first, providing better context for the LLM to answer queries.

  • 02

    What is the benefit of using contextualized embeddings?

    The create_contextualized_embeddings capability allows you to embed chunks of text while considering the surrounding content of the same document. This prevents loss of meaning that often happens with standard chunking, leading to much higher retrieval precision.

  • 03

    Can I process images and text in the same vector space?

    Yes! With create_multimodal_embeddings, you can provide interleaved sequences of text and image URLs. Voyage AI will generate a single embedding that represents the combined semantic meaning, perfect for visual or hybrid search.

Explore

More in Developer Tools

Suggestions