How to Use the Typesense Vector Search MCP in Claude

Q: Can I list all available collections with Typesense Vector Search in Claude Desktop?

Yep. The listvectorcollections tool lets you see every single collection configured within your Typesense instance, so you know exactly what data is available for querying.

Q: How does Typesense Vector Search handle document storage in Claude Desktop?

The system manages the indexes. You use indexdocument to add documents and vectors. This MCP Server handles the underlying connection and ensures the data is ready for fast, semantic lookups.

Q: Is there a way to check the schema of an existing collection with Typesense Vector Search in Claude Desktop?

Absolutely. Run getcollectiondetails and pass in the name of the collection you're interested in. It pulls back all the metadata, so you can verify your fields.

Run complex, semantic vector searches right from the Claude Desktop app.

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Connect Typesense Vector Search MCP to Claude Desktop

Create your Vinkius account to connect Typesense Vector Search to Claude Desktop and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Typesense Vector Search with Claude Desktop

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Manage Search Schema with Claude Desktop

Use `create_collection` to define a new search collection. You pass in the required schema details as a JSON object, telling Typesense exactly what kind of data you're storing. This setup ensures your vector search is structured correctly before any documents go in. You can also check existing definitions with `get_collection_details`.

Index and Update Documents via Claude Desktop

Need to add or modify data? Call `index_document` by providing both the collection name and the document JSON. This tool handles adding new records or updating existing ones in your search index. Don't forget about cleanup. If a record is stale, use `delete_document` to permanently remove it from the collection by its ID.

Execute Semantic Searches with Claude Desktop

Perform powerful vector similarity searches using `search_vectors`. You just need to give the tool a collection name, a text query, and the vector string itself. This mechanism combines semantic search on vectors with optional text filtering. It lets you find highly relevant information without writing any API calls yourself.

Setup guide

Set up Typesense Vector Search MCP in Claude Web or Desktop

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.
3

Start a conversation

Open a new chat. The Typesense Vector Search MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Prerequisites

Claude Desktop installed (macOS or Windows)
Active Vinkius subscription with a valid endpoint token

1

Open Claude Desktop Settings

Click the menu icon at the top-left corner, go to Settings → Developer → Edit Config. This opens claude_desktop_config.json in your default text editor.
2

Paste the Typesense Vector Search MCP configuration

Copy the JSON snippet on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Desktop

Close and reopen the application. Claude needs a full restart to load new MCPs — refreshing a conversation is not enough.
4

Verify the connection

Open a new conversation. Click the 🔌 icon at the bottom of the message input. You should see tools listed under typesense-vector-search-mcp.

json

{
  "mcpServers": {
    "typesense-vector-search-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Typesense Vector Search. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Typesense Vector Search MCP in Claude Desktop

You interact by calling the MCP tools directly through your agent. For instance, you can ask it to perform a search using `search_vectors` and specify the collection name and query parameters.

Yep. The `list_vector_collections` tool lets you see every single collection configured within your Typesense instance, so you know exactly what data is available for querying.

The system manages the indexes. You use `index_document` to add documents and vectors. This MCP Server handles the underlying connection and ensures the data is ready for fast, semantic lookups.

Absolutely. Run `get_collection_details` and pass in the name of the collection you're interested in. It pulls back all the metadata, so you can verify your fields.

This server deals with structured documents and associated vector embeddings. These are essentially pieces of text data converted into high-dimensional vectors for comparison, which is the core data type you'll be managing.

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Connect this server to Cursor, Claude, VS Code, and more.

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