Mem AI (Knowledge Workspace) MCP Server
Manage your knowledge base via Mem.ai — create notes, run AI semantic search, and organize collections.
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What is the Mem.ai MCP Server?
The Mem.ai MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Mem.ai via 12 tools. Manage your knowledge base via Mem.ai — create notes, run AI semantic search, and organize collections. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (12)
Tools for your AI Agents to operate Mem.ai
Ask your AI agent "Search my mems for anything related to 'quarterly business review'" and get the answer without opening a single dashboard. With 12 tools connected to real Mem.ai data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
…and any MCP-compatible client
Mem AI (Knowledge Workspace) MCP Server capabilities
12 toolsAttach live Mems structurally inside explicitly mapped Collections
Establish new logical thematic groupings mapping notes
ai. Converts plain textual knowledge to indexed vectors immediately mapped implicitly via AI. Create a new mem (note) in Mem.ai using Markdown
No recovery is possible via API. Irreversibly vaporize a mem document globally
Inspect specific Collection metadata elements
Retrieve explicit full context metadata by target Mem ID
Query ALL explicit Mem bodies inside specific Collections
Query explicitly tracked thematic Collections arrays
Returns identifiers and raw bodies. Careful, this returns heavy payloads. List all raw mems across the global workspace
Quick capture shortcut generating automated blocks
AI semantic search looking into all indexed knowledge
Replaces absolute text values so ensure `get_mem` was run to append rather than destroy inadvertently. Update pre-existing mem content natively swapping strings
What the Mem AI (Knowledge Workspace) MCP Server unlocks
Connect your Mem.ai workspace to any AI agent and take full control of your personal and team knowledge through natural conversation.
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
How it works
1. Subscribe to this server
2. Enter your Mem.ai API Key
3. Start managing your workspace from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Knowledge Workers — organize research and meeting notes through natural conversation without manual outliner management
- Project Teams — sync project documentation and manage shared knowledge collections directly from your workspace
- Researchers — leverage AI semantic search to bridge ideas and retrieve relevant context across massive personal knowledge bases efficiently
Frequently asked questions about the Mem AI (Knowledge Workspace) MCP Server
How is Mem's AI search different from regular keyword search?
Mem uses semantic similarity. When your agent uses the search_mems tool, it identifies notes based on the meaning of your query. This means you can find relevant context even if you don't remember the exact words used in the original note.
Can I organize my notes into folders using my agent?
In Mem, folders are called 'Collections'. Use the create_collection and add_mem_to_collection tools. Your agent can establish thematic groups and link specific mems to them structurally, maintaining an organized workspace through conversation.
What is the 'Mem It' tool used for?
The mem_it tool is a quick capture shortcut. Your agent can use it to instantly log raw thoughts, URLs, or snippets into your workspace with automated formatting, perfect for high-speed idea tracking during your workflow.
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Connect Mem AI (Knowledge Workspace) 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.
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Python framework for orchestrating collaborative AI agent crews.
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Microsoft's framework for multi-agent collaborative conversations.
Give your AI agents the power of Mem.ai MCP Server
Production-grade Mem AI (Knowledge Workspace) MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.