Chroma (Vector DB) MCP Server for Mastra AI 7 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Chroma (Vector DB) through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"chroma-vector-db": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Chroma (Vector DB) Agent",
instructions:
"You help users interact with Chroma (Vector DB) " +
"using 7 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Chroma (Vector DB)?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Chroma (Vector DB) tool infrastructure. Connect 7 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Chroma (Vector DB) MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 7 tools from Chroma (Vector DB) via MCP
Why Use Mastra AI with the Chroma (Vector DB) MCP Server
Mastra AI provides unique advantages when paired with Chroma (Vector DB) through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Chroma (Vector DB) without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Chroma (Vector DB) tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Chroma (Vector DB) + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Chroma (Vector DB) MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Chroma (Vector DB), process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Chroma (Vector DB) as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Chroma (Vector DB) on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Chroma (Vector DB) tools alongside other MCP servers
Chroma (Vector DB) MCP Tools for Mastra AI (7)
These 7 tools become available when you connect Chroma (Vector DB) to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Chroma (Vector DB) to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpChroma (Vector DB) + Mastra AI FAQ
Common questions about integrating Chroma (Vector DB) MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Chroma (Vector DB) to Mastra AI
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.