How to Use the Chroma (Vector DB) MCP in Cursor

Query embeddings and audit collections directly inside your Cursor editor.

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Connect Chroma (Vector DB) MCP to Cursor

Create your Vinkius account to connect Chroma (Vector DB) to Cursor 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 Chroma (Vector DB) with Cursor

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Claude

Perplexity

Live Vector Data in Cursor

Writing retrieval code gets messy when you have to guess what your database actually returns. Connect this MCP Server, and your editor can run `query_embeddings` to pull real high-dimensional semantic clustering data while you write the implementation. The agent sees the exact format of your nearest-neighbor results. It uses `get_documents` to retrieve the physical documents and semantic context inside known arrays. Then it writes the parsing logic based on the actual JSON structure coming back from your database.

Explore Chroma Collections on the Fly

You are mid-coding and forget the exact name of the collection you set up yesterday. Instead of switching to a terminal, tell Cursor to `list_collections`. It lists all explicitly defined vector collections within your given tenant database. Once you have the name, you can inspect its setup. Firing off `get_collection` identifies the bounded logical settings configuring that specific vector block. You get the dimension size and metadata limits injected straight into your prompt context.

Validate Setup Without Leaving the Editor

Nothing kills momentum like writing perfect code for a database that is currently offline. Your agent can execute `check_heartbeat` to validate fundamental network availability against your explicit API nodes. If everything is running, you can grab a quick sample of the data shape. The `peek_documents` tool extracts a bounded preview of the database limits. You can also run `count_documents` to enumerate total document volumes and ensure your indexing script actually worked.

Setup guide

Set up Chroma (Vector DB) MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Chroma (Vector DB) MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Chroma (Vector DB) transactions." If the MCP tools are loaded correctly, Cursor will call the Chroma (Vector DB) tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "chroma-vector-db-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 Chroma. 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 Chroma (Vector DB) MCP in Cursor

Create an mcp.json file in your project root folder. Add the Vinkius endpoint URL under the server configuration, then turn on Agent mode in your chat panel to start querying.

That is exactly what it does. The agent pulls live vector matches and uses that real data to write your parsing and retrieval logic. You stop writing stubs and start coding against actual database responses.

Ask the agent to ping the database. It runs a network availability check against your explicit nodes to confirm the service is responding before you try to run complex queries.

Yes. You can retrieve exact physical documents along with their semantic context. The agent pulls the specific text arrays you need to verify your indexing logic.

Every request routes through a strict zero-trust sandbox. Your vector embeddings and bounded logical settings are processed in memory and immediately discarded. Vinkius never stores the physical text retrieved during your coding sessions.

Use it with your favorite AI tools

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

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