Vald 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 Vald through the 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: {
"vald": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Vald Agent",
instructions:
"You help users interact with Vald " +
"using 6 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Vald?"
);
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 Vald MCP Server
Connect your Vald cluster to any AI agent and bring distributed, high-speed approximate nearest neighbor (ANN) vector search directly to your conversational workflow.
Mastra's agent abstraction provides a clean separation between LLM logic and Vald 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
- Vector Search — Perform rapid semantic searches across millions of embedded data points just by querying the agent.
- Data Ingestion — Insert new high-dimensional vectors directly into the Vald index for instant future retrievability in your RAG pipelines.
- Index Management — Update the vector representations of existing records or permanently remove specific items from the engine cluster.
- Cluster Health — Automatically retrieve operational system information, agent health statuses, and node details regarding your active Vald deployment.
The Vald 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 Vald to Mastra AI via MCP
Follow these steps to integrate the Vald 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 Vald via MCP
Why Use Mastra AI with the Vald MCP Server
Mastra AI provides unique advantages when paired with Vald through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Vald 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 Vald 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
Vald + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Vald MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Vald, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Vald as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Vald on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Vald tools alongside other MCP servers
Vald MCP Tools for Mastra AI (6)
These 6 tools become available when you connect Vald to Mastra AI via MCP:
delete_vector
This action is irreversible. Permanently removes a vector from the Vald index
get_engine_info
Retrieves operational information and health of the Vald engine
get_vector_details
Retrieves the raw vector data for a specific ID
insert_vector
Provide a unique ID and the vector as a JSON array. Inserts a new vector into the Vald index
search_vectors
Provide a query vector as a JSON array of floats. Performs a nearest neighbor vector similarity search
update_vector
Provide the existing ID and new vector array. Updates an existing vector in the Vald index
Example Prompts for Vald in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Vald immediately.
"Is the Vald cluster operational right now?"
"Can you check the vector details stored for UUID 'user-profile-89'?"
"Update the existing item 'context-fragment-12' with this new 1536-dimensional array: [0.38, -0.19, 0...]."
Troubleshooting Vald MCP Server with Mastra AI
Common issues when connecting Vald to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpVald + Mastra AI FAQ
Common questions about integrating Vald 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 Vald 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 Vald to Mastra AI
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.