Chroma (Vector DB) MCP Server for Vercel AI SDK 7 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Chroma (Vector DB) through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Chroma (Vector DB), list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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.
The Vercel AI SDK gives every Chroma (Vector DB) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 7 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to integrate the Chroma (Vector DB) MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 7 tools from Chroma (Vector DB) and passes them to the LLM
Why Use Vercel AI SDK with the Chroma (Vector DB) MCP Server
Vercel AI SDK provides unique advantages when paired with Chroma (Vector DB) through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Chroma (Vector DB) integration everywhere
Built-in streaming UI primitives let you display Chroma (Vector DB) tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Chroma (Vector DB) + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Chroma (Vector DB) MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Chroma (Vector DB) in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Chroma (Vector DB) tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Chroma (Vector DB) capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Chroma (Vector DB) through natural language queries
Chroma (Vector DB) MCP Tools for Vercel AI SDK (7)
These 7 tools become available when you connect Chroma (Vector DB) to Vercel AI SDK 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting Chroma (Vector DB) to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpChroma (Vector DB) + Vercel AI SDK FAQ
Common questions about integrating Chroma (Vector DB) MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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 Vercel AI SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.