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Connect Chroma Vector Db to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Control and query your semantic data through natural conversation.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 7 capabilities

We ship only the actions that matter.

Capability set01 / 02

01-04

4 capabilities in this set.

Part of 7 available through Chroma.

  1. 01

    List collections

    This capability lists all the vector collections currently defined within your specific tenant database.

  2. 02

    Check heartbeat

    This capability validates that your Chroma API nodes are reachable and responding to network requests.

  3. 03

    Get collection

    This capability retrieves the specific logical settings and configurations for a single vector collection.

  4. 04

    Peek documents

    This capability provides a small, bounded preview of the data stored within your database.

Capability set02 / 02

05-07

3 capabilities in this set.

Part of 7 available through Chroma.

  1. 05

    Count documents

    This capability returns the total number of documents currently held in a collection.

  2. 06

    Get documents

    This capability pulls the actual physical documents and their associated semantic context from known arrays.

  3. 07

    Query embeddings

    This capability performs high-dimensional semantic searches to find data matching specific logical bounds.

Real work

What teams actually run

01

Debugging RAG Pipelines

Use the agent to peek at documents to see if the retrieved context actually matches the user query.

02

Data Integrity Checks

Run document counts to verify that your ingestion pipeline is correctly populating collections.

03

System Health Monitoring

Check the heartbeat of your Chroma nodes to ensure your vector store is ready for requests.

04

Environment Validation

Switch between different databases to confirm that staging data is isolated from production.

Automate a task

Put Chroma to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Chroma works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Chroma to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

877ms average. Fast in production.

Chroma is checked daily against the live service.

Daily averagePeak 1064ms
Oct 11Today
Fastest day
657ms
Slowest day
1064ms
14-day trend
Slowing+62%

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.

Connector linkhttps://edge.vinkius.com/vk_preview_aUtliGRmHCVn8DepMSRkGx8uw3Df2TS9KO1N5DG4/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 — Chroma capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "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

Guided setup for Claude? Set up Chroma in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Chroma owners hand off.

This MCP is built for technical professionals who need to interact with vector data without writing boilerplate code.

  • 01

    AI Developers

    They use the agent to test and debug vector search logic using natural language.

  • 02

    Data Engineers

    They audit collection volumes and check metadata consistency across environments.

  • 03

    Product Managers

    They inspect the specific context being fed to AI agents by looking at stored embeddings.

  • 04

    DevOps Teams

    They monitor instance connectivity and health through automated heartbeats.

FAQ

Questions Chroma owners ask.

  • 01

    Can I use this with a self-hosted Chroma instance?

    Yes. You can connect to both Chroma Cloud and self-hosted instances by providing the correct URL and API Key.

  • 02

    What AI clients can I use with this MCP?

    You can use this with any MCP-compatible client, including Claude, Cursor, and Windsurf.

  • 03

    How do I check if my Chroma database is running?

    You can use the check_heartbeat capability to validate network availability and connectivity to your Chroma nodes.

  • 04

    Can I manage multiple environments?

    Yes. The MCP allows you to switch between different tenants and databases to keep production and staging isolated.

  • 05

    Do I need to write code to search my embeddings?

    No. You can perform high-dimensional semantic searches using the query_embeddings capability through natural language conversation.

  • 06

    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.

  • 07

    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.

  • 08

    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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