Mem AI (Knowledge Workspace) MCP Server for Mastra AI 12 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Mem AI (Knowledge Workspace) through 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: {
"mem-ai-knowledge-workspace": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Mem AI (Knowledge Workspace) Agent",
instructions:
"You help users interact with Mem AI (Knowledge Workspace) " +
"using 12 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Mem AI (Knowledge Workspace)?"
);
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 Mem AI (Knowledge Workspace) MCP Server
Connect your Mem.ai workspace to any AI agent and take full control of your personal and team knowledge through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Mem AI (Knowledge Workspace) tool infrastructure. Connect 12 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
- Knowledge Orchestration — Create new mems (notes) using Markdown directly from your agent, instantly transforming textual ideas into indexed knowledge vectors
- AI Semantic Search — Leverage dense semantic similarity to find notes across your entire workspace, identifying relevant information based on meaning rather than explicit keywords
- Deep Content Retrieval — Extract the full scalar text body and context metadata for specific mems to retrieve precise project details securely
- Collection Management — Establish thematic groupings (Collections) and attach live mems structurally to maintain organized project boundaries natively
- Quick Capture (Mem It) — Trigger rapid capture blocks for links, snippets, or raw thoughts, allowing your agent to log ideas without manual dashboard navigation
- Contextual Updates — Mutate existing mem content to keep project logs and meeting notes up-to-date while preserving historical knowledge mappings
- Resource Inventory — List all available mems or explore specific collections to understand your knowledge distribution and team documentation footprint
The Mem AI (Knowledge Workspace) MCP Server exposes 12 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 Mem AI (Knowledge Workspace) to Mastra AI via MCP
Follow these steps to integrate the Mem AI (Knowledge Workspace) 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 12 tools from Mem AI (Knowledge Workspace) via MCP
Why Use Mastra AI with the Mem AI (Knowledge Workspace) MCP Server
Mastra AI provides unique advantages when paired with Mem AI (Knowledge Workspace) through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Mem AI (Knowledge Workspace) 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 Mem AI (Knowledge Workspace) 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
Mem AI (Knowledge Workspace) + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Mem AI (Knowledge Workspace) MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Mem AI (Knowledge Workspace), process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Mem AI (Knowledge Workspace) as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Mem AI (Knowledge Workspace) on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Mem AI (Knowledge Workspace) tools alongside other MCP servers
Mem AI (Knowledge Workspace) MCP Tools for Mastra AI (12)
These 12 tools become available when you connect Mem AI (Knowledge Workspace) to Mastra AI via MCP:
add_mem_to_collection
Attach live Mems structurally inside explicitly mapped Collections
create_collection
Establish new logical thematic groupings mapping notes
create_mem
ai. Converts plain textual knowledge to indexed vectors immediately mapped implicitly via AI. Create a new mem (note) in Mem.ai using Markdown
delete_mem
No recovery is possible via API. Irreversibly vaporize a mem document globally
get_collection
Inspect specific Collection metadata elements
get_mem
Retrieve explicit full context metadata by target Mem ID
list_collection_mems
Query ALL explicit Mem bodies inside specific Collections
list_collections
Query explicitly tracked thematic Collections arrays
list_mems
Returns identifiers and raw bodies. Careful, this returns heavy payloads. List all raw mems across the global workspace
mem_it
Quick capture shortcut generating automated blocks
search_mems
AI semantic search looking into all indexed knowledge
update_mem
Replaces absolute text values so ensure `get_mem` was run to append rather than destroy inadvertently. Update pre-existing mem content natively swapping strings
Example Prompts for Mem AI (Knowledge Workspace) in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Mem AI (Knowledge Workspace) immediately.
"Search my mems for anything related to 'quarterly business review'"
"Create a new mem with today's standup notes in Markdown"
"List all my thematic collections in Mem"
Troubleshooting Mem AI (Knowledge Workspace) MCP Server with Mastra AI
Common issues when connecting Mem AI (Knowledge Workspace) to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpMem AI (Knowledge Workspace) + Mastra AI FAQ
Common questions about integrating Mem AI (Knowledge Workspace) 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 Mem AI (Knowledge Workspace) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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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 Mem AI (Knowledge Workspace) to Mastra AI
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.