MCP For Claude Marketplace
Mem AI (Knowledge Workspace)

Mem AI (Knowledge Workspace) MCP Connector for Claude

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Manage your knowledge base via Mem.ai — create notes, run AI semantic search, and organize collections.

12 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

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
knowledge-basesemantic-searchmarkdown-notesinformation-retrievalpersonal-knowledge-management

12 tools expose this connector's capabilities to your AI agent.

delete_mem

No recovery is possible via API. Irreversibly vaporize a mem document globally

get_collection

Inspect specific Collection metadata elements

list_collections

Query explicitly tracked thematic Collections arrays

list_collection_mems

Query ALL explicit Mem bodies inside specific Collections

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

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

get_mem

Retrieve explicit full context metadata by target Mem ID

list_mems

Returns identifiers and raw bodies. Careful, this returns heavy payloads. List all raw mems across the globalThis workspace

search_mems

AI semantic search looking into all indexed knowledge

mem_it

Quick capture shortcut generating automated blocks

See how to talk to your AI agent using Mem AI (Knowledge Workspace).

Search my mems for anything related to 'quarterly business review'

Searching semantically… I've identified 3 relevant mems: 1) 'Q1 Review Goals', 2) 'Draft slides for QBR', and 3) a note about 'Revenue projections' that matches the context. Would you like me to retrieve the full content of the QBR slides draft?

Create a new mem with today's standup notes in Markdown

Mem created successfully! I've logged your standup notes into your workspace. New Mem ID: 'mem-12345'. Would you like me to add this mem to your 'Engineering Standups' collection?

List all my thematic collections in Mem

I've retrieved your collections: 'Project Alpha', 'Meeting Archives', 'Personal Research', and 'Reading List'. Which one would you like to explore or add a new note to?

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.

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