Chroma (Vector DB) MCP Server
Manage vector embeddings via Chroma — list collections, query embeddings, and audit document counts directly from any AI agent.
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What is the Chroma MCP Server?
The Chroma MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Chroma via 7 tools. Manage vector embeddings via Chroma — list collections, query embeddings, and audit document counts directly from any AI agent. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (7)
Tools for your AI Agents to operate Chroma
Ask your AI agent "List all vector collections" and get the answer without opening a single dashboard. With 7 tools connected to real Chroma data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
…and any MCP-compatible client
Chroma (Vector DB) MCP Server capabilities
7 toolsValidate fundamental network availability against explicit Chroma API nodes
Execute explicit structural tracking enumerating total document volumes
Identify bounded logical settings configuring a specific Vector Collection block
Retrieve exact physical documents and semantic context inside known arrays
List all explicitly defined Vector Collections within a given tenant database
Extracts explicitly attached bounded preview of the Database limits
Identify precise logical bounds matching high-dimensional semantic clustering
What the Chroma (Vector DB) MCP Server unlocks
Connect your Chroma vector database to any AI agent and take full control of your semantic data through natural conversation.
What you can do
- Vector Collections — List all available collections and inspect their deep configuration and metadata
- Semantic Search — Perform high-dimensional vector similarity searches to find relevant context for your LLM applications
- Document Auditing — Count documents, peek at unstructured data segments, and retrieve specific records by ID
- Instance Health — Monitor heartbeats and connectivity across Chroma Cloud or self-hosted instances
- Tenant & Database Management — Switch between different tenants and databases to isolate your production and staging environments
How it works
1. Subscribe to this server
2. Enter your Chroma URL (Cloud or self-hosted) and your API Key
3. Start querying your embeddings from Claude, Cursor, or any MCP-compatible client
Who is this for?
- AI Developers — test and debug vector search logic using natural language without writing Python scripts
- Data Engineers — audit collection volumes and metadata consistency across different environments
- Product Managers — inspect what context is being fed to AI agents by peeking at stored embeddings
- DevOps Teams — monitor instance connectivity and health through automated heartbeats
Frequently asked questions about the Chroma (Vector DB) MCP Server
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.
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.
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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Connect Chroma (Vector DB) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
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Microsoft's framework for multi-agent collaborative conversations.
Give your AI agents the power of Chroma MCP Server
Production-grade Chroma (Vector DB) MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.