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.

Chroma (Vector DB) MCP Server for AutoGen 7 tools — connect in under 2 minutes

Name: Chroma (Vector DB)
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 7 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Chroma (Vector DB) as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="chroma_vector_db_agent",
            tools=tools,
            system_message=(
                "You help users with Chroma (Vector DB). "
                "7 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

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V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Chroma (Vector DB) MCP Server

Connect your Chroma vector database to any AI agent and take full control of your semantic data through natural conversation.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Chroma (Vector DB) tools. Connect 7 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

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

The Chroma (Vector DB) MCP Server exposes 7 tools through the Vinkius. Connect it to AutoGen in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Chroma (Vector DB) to AutoGen via MCP

Follow these steps to integrate the Chroma (Vector DB) MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 7 tools from Chroma (Vector DB) automatically

Why Use AutoGen with the Chroma (Vector DB) MCP Server

AutoGen provides unique advantages when paired with Chroma (Vector DB) through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Chroma (Vector DB) tools to solve complex tasks

Role-based architecture lets you assign Chroma (Vector DB) tool access to specific agents. a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive Chroma (Vector DB) tool calls

Code execution sandbox: AutoGen agents can write and run code that processes Chroma (Vector DB) tool responses in an isolated environment

Chroma (Vector DB) + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Chroma (Vector DB) MCP Server delivers measurable value.

Collaborative analysis: one agent queries Chroma (Vector DB) while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from Chroma (Vector DB), a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using Chroma (Vector DB) data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process Chroma (Vector DB) responses in a sandboxed execution environment

Chroma (Vector DB) MCP Tools for AutoGen (7)

These 7 tools become available when you connect Chroma (Vector DB) to AutoGen via MCP:

check_heartbeat

Validate fundamental network availability against explicit Chroma API nodes

count_documents

Execute explicit structural tracking enumerating total document volumes

get_collection

Identify bounded logical settings configuring a specific Vector Collection block

get_documents

Retrieve exact physical documents and semantic context inside known arrays

list_collections

List all explicitly defined Vector Collections within a given tenant database

peek_documents

Extracts explicitly attached bounded preview of the Database limits

query_embeddings

Identify precise logical bounds matching high-dimensional semantic clustering

Example Prompts for Chroma (Vector DB) in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with Chroma (Vector DB) immediately.

"List all vector collections"

"Peek at the first 5 documents in 'knowledge-base'"

"Is the Chroma server alive?"

Troubleshooting Chroma (Vector DB) MCP Server with AutoGen

Common issues when connecting Chroma (Vector DB) to AutoGen through the Vinkius, and how to resolve them.

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Chroma (Vector DB) + AutoGen FAQ

Common questions about integrating Chroma (Vector DB) MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Chroma (Vector DB) tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.