Use Chroma with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Manage vector embeddings via Chroma. list collections, query embeddings, and audit document counts directly from any AI agent.
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.
Complete set · 7 capabilities
The complete Chroma capability set.
These are the exact actions your AI can choose when you ask it to work with Chroma.
01-04
4 capabilities in this set.
Part of 7 available through Chroma.
- 01
List collections
List all explicitly defined Vector Collections within a given tenant database
- 02
Check heartbeat
Validate fundamental network availability against explicit Chroma API nodes
- 03
Get collection
Identify bounded logical settings configuring a specific Vector Collection block
- 04
Peek documents
Extracts explicitly attached bounded preview of the Database limits
05-07
3 capabilities in this set.
Part of 7 available through Chroma.
- 05
Count documents
Execute explicit structural tracking enumerating total document volumes
- 06
Get documents
Retrieve exact physical documents and semantic context inside known arrays
- 07
Query embeddings
Identify precise logical bounds matching high-dimensional semantic clustering
Observed, not estimated
853ms average. Fast in production.
Chroma is checked daily against the live service.
- Fastest day
- 694ms
- Slowest day
- 988ms
- 14-day trend
- Improving-8%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 7 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 Chroma, so you can see the experience inside your AI.
It does not authenticate your account with Chroma. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Chroma Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_aUtliGRmHCVn8DepMSRkGx8uw3Df2TS9KO1N5DG4/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Chroma capabilities are ready to use.
{
"mcpServers": {
"chroma-vector-db-mcp": {
"url": "https://edge.vinkius.com/vk_preview_aUtliGRmHCVn8DepMSRkGx8uw3Df2TS9KO1N5DG4/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 Chroma owners ask.
- 01
Can my agent perform semantic search across my collections?
Yes. Provide the vector embedding array in JSON format, and your agent will return the closest document matches along with their distance metrics. It is the perfect way to test your RAG (Retrieval-Augmented Generation) logic without complex scripts.
- 02
How can I verify the health of my self-hosted Chroma instance?
Simply ask your agent to check the heartbeat. The agent performs a nanosecond-level responsiveness test against your API nodes, confirming the physical database is active and reachable from the gateway.
- 03
I manage multiple tenants. how do I switch between them?
You can define the tenant and database names during the setup phase. If you need to switch often, you can update the credentials in the dashboard. The agent uses these values for all collection and document operations to ensure strict isolation.
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