Integrate Chroma (Vector DB) with Claude, Cursor, Chatbots & AI Agents MCP Server

Manage vector embeddings via Chroma — list collections, query embeddings, and audit document counts directly from any AI agent.

GDPR Free for Subscribers

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

check

Check heartbeat on Chroma (Vector DB)

Validate fundamental network availability against explicit Chroma API nodes

count

Count documents on Chroma (Vector DB)

Execute explicit structural tracking enumerating total document volumes

get

Get collection on Chroma (Vector DB)

Identify bounded logical settings configuring a specific Vector Collection block

get

Get documents on Chroma (Vector DB)

Retrieve exact physical documents and semantic context inside known arrays

list

List collections on Chroma (Vector DB)

List all explicitly defined Vector Collections within a given tenant database

peek

Peek documents on Chroma (Vector DB)

Extracts explicitly attached bounded preview of the Database limits

query

Query embeddings on Chroma (Vector DB)

Identify precise logical bounds matching high-dimensional semantic clustering

Security & Code Integrity Audit

Every tool in the Chroma (Vector DB) MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.

A+Score: 100

How Vinkius protects your data

Is there a risk of the AI "going crazy" and deleting important company data?

No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.

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.

What if the AI ends up reading customer data or confidential information?

We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.

Does the AI train on my tools or API data?

No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.

Automated Workflows using Chroma (Vector DB)

Add the Chroma (Vector DB) tool to your AI Agents. The toolkit allows Claude and ChatGPT to securely fetch and update targeted data.

Autonomous embeddings via AI

Build automated workflows involving embeddings by connecting Chroma (Vector DB). It provides Claude and ChatGPT with direct API hooks into your loved by devs ecosystem.

The Future of semantic search

The Chroma (Vector DB) toolkit provides AI native integration for semantic search. It structures data so Claude Code can accurately process loved by devs requirements.