Marqo AI (Vector Search & Embeddings) MCP Server for Mastra AI 6 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Marqo AI (Vector Search & Embeddings) through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
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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: {
"marqo-ai-vector-search-embeddings": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Marqo AI (Vector Search & Embeddings) Agent",
instructions:
"You help users interact with Marqo AI (Vector Search & Embeddings) " +
"using 6 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Marqo AI (Vector Search & Embeddings)?"
);
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 Marqo AI (Vector Search & Embeddings) MCP Server
Connect your Marqo instance to any AI agent and take full control of your semantic search infrastructure, vector embeddings, and real-time document indexing through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Marqo AI (Vector Search & Embeddings) tool infrastructure. Connect 6 tools through the 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
- Tensor Search Orchestration — Execute dense semantic similarity searches against your indices using natural language queries, with Marqo handling embedding extraction automatically
- Dynamic Document Ingestion — Write new JSON records into your vector indices directly from your agent, allowing for instant searchability of fresh data mappings
- Index Lifecycle Management — Create explicitly bounded new vector indices with custom model settings and dimension constraints to optimize your search architecture
- Vector Audit & Stats — Retrieve detailed configuration metrics for your indices, including document counts, embedding model types, and underlying schema mappings
- Precision Deletion — Physically eradicate vectorized representations by targeting specific scalar identifiers to maintain a clean and relevant search index
- Resource Inventory — List all available vector indices on your Marqo instance to identify collection boundaries before executing search queries
The Marqo AI (Vector Search & Embeddings) MCP Server exposes 6 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 Marqo AI (Vector Search & Embeddings) to Mastra AI via MCP
Follow these steps to integrate the Marqo AI (Vector Search & Embeddings) 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 6 tools from Marqo AI (Vector Search & Embeddings) via MCP
Why Use Mastra AI with the Marqo AI (Vector Search & Embeddings) MCP Server
Mastra AI provides unique advantages when paired with Marqo AI (Vector Search & Embeddings) through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Marqo AI (Vector Search & Embeddings) 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 Marqo AI (Vector Search & Embeddings) 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
Marqo AI (Vector Search & Embeddings) + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Marqo AI (Vector Search & Embeddings) MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Marqo AI (Vector Search & Embeddings), process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Marqo AI (Vector Search & Embeddings) as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Marqo AI (Vector Search & Embeddings) on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Marqo AI (Vector Search & Embeddings) tools alongside other MCP servers
Marqo AI (Vector Search & Embeddings) MCP Tools for Mastra AI (6)
These 6 tools become available when you connect Marqo AI (Vector Search & Embeddings) to Mastra AI via MCP:
add_documents
Write new documents into Marqo
create_index
Create an explicitly bounded new vector index
delete_documents
Delete specific documents from Marqo by targeting their IDs
get_index_stats
Get configuration and stats for an index
list_indexes
Crucial before writing queries hitting arbitrary collections. List all Marqo vector indexes
tensor_search
Perform natural language tensor search on Marqo
Example Prompts for Marqo AI (Vector Search & Embeddings) in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Marqo AI (Vector Search & Embeddings) immediately.
"Semantic search in index 'products' for 'lightweight running shoes for trails'"
"List all vector indexes in my Marqo instance"
"Add this document to the 'support-docs' index: {"title": "API Auth", "content": "Use Marqo-API-Key header"}"
Troubleshooting Marqo AI (Vector Search & Embeddings) MCP Server with Mastra AI
Common issues when connecting Marqo AI (Vector Search & Embeddings) to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpMarqo AI (Vector Search & Embeddings) + Mastra AI FAQ
Common questions about integrating Marqo AI (Vector Search & Embeddings) 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 Marqo AI (Vector Search & Embeddings) with your favorite client
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Connect Marqo AI (Vector Search & Embeddings) to Mastra AI
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.