How to Use the Mem AI (Knowledge Workspace) MCP in Mastra AI

Q: Can Mastra AI search my Mem AI (Knowledge Workspace) automatically?

Yes. You can build a workflow that runs searchmems whenever a specific event triggers in your agent pipeline.

Q: What is the best way to organize Mem AI (Knowledge Workspace) notes with Mastra AI?

Use createcollection to define your structure and then let your agent logic use addmemtocollection to sort incoming data.

Automate complex knowledge workflows in Mastra AI by connecting your Mem AI (Knowledge Workspace) tools.

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Connect Mem AI (Knowledge Workspace) MCP to Mastra AI

Create your Vinkius account to connect Mem AI (Knowledge Workspace) to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Mem AI (Knowledge Workspace) with Mastra AI

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Build automated knowledge pipelines in Mastra AI

Chain your notes together using `search_mems` and `update_mem` to create autonomous agents that keep your documentation fresh. Mastra AI handles the retries if an API call stutters. This turns your workspace into a programmable engine. When a note needs an update, your agent fetches the current state with `get_mem` and applies the changes without manual oversight.

Conditional note management

Use Mastra AI to trigger logic based on your notes. If a collection is empty, have your agent run `list_collection_mems` and prompt you to populate it. This creates a self-healing knowledge base. You define the rules for what happens when data is missing, and the tools handle the execution.

Agent-driven workspace organization

Assign an agent to sort your mess of notes into specific groups using `add_mem_to_collection`. It keeps your workspace tidy while you focus on production. Your agents can monitor your input volume and bucket new notes into the right collections automatically. It removes the chore of manual filing from your daily routine.

Setup guide

Set up Mem AI (Knowledge Workspace) MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Mem AI (Knowledge Workspace) tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "mem-ai-knowledge-workspace-mcp-client",
  servers: {
    "mem-ai-knowledge-workspace-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Mem AI (Knowledge Workspace) Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Mem AI (Knowledge Workspace) tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Mem AI (Knowledge Workspace) transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Mem.ai. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Mem AI (Knowledge Workspace) MCP in Mastra AI

You register the tools within your agent definition. Once they are live, your Mastra AI workflow can call them based on the logic you set.

Yes. You can build a workflow that runs `search_mems` whenever a specific event triggers in your agent pipeline.

Use `create_collection` to define your structure and then let your agent logic use `add_mem_to_collection` to sort incoming data.

You need to build your own backoff logic into your workflows. The tools are ready to go, but you decide the frequency of the calls.

We enforce strict endpoint isolation. Only your authenticated agent can touch the notes, and all interactions are scoped by the tools you allow.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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