How to Use the Chroma (Vector DB) MCP in Claude
Manage your vector embeddings and query Chroma directly from Claude Desktop.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Chroma (Vector DB) MCP to Claude Desktop
Create your Vinkius account to connect Chroma (Vector DB) 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.
Direct Vector Search in Claude Desktop
You don't need to write a Python script just to test your embedding clusters. Connect this MCP Server to your local or web setup, and your agent can run `query_embeddings` right in the chat. It finds the exact logical bounds matching your high-dimensional semantic data. That means you can ask about specific concepts, and Claude pulls the nearest neighbors instantly. Need to verify what actually got stored? Have it run `get_documents` to pull the exact physical text and semantic context out of those known arrays.
Audit Your Document Collections
Keeping track of what went into a specific tenant database usually requires bouncing between terminal tabs. Now you can just ask. Use `list_collections` to see every explicitly defined vector block you have running. From there, you can dig into the structural tracking. Run `count_documents` to get the exact volume of records. If you just want a quick look at the data shape, `peek_documents` grabs a bounded preview of the database limits without pulling down the whole index.
Monitor Node Health on the Fly
Sometimes you just need to know if the database is actually up before you start debugging a failed pipeline. The `check_heartbeat` tool validates fundamental network availability against your explicit Chroma API nodes. If the node is alive, you can move on to checking the configuration. Running `get_collection` identifies the bounded logical settings for a specific vector block. You figure out exactly how the distance metrics and dimensions are set up without leaving the conversation.
Set up Chroma (Vector DB) 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]/mcpReplace[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 Chroma (Vector DB) 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Chroma (Vector DB) MCP in Claude Desktop
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Chroma (Vector DB) MCP today
We host it, we monitor it, we maintain it. You just paste one token.