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Documentation Index

Fetch the complete documentation index at: https://docs.memv.ai/llms.txt

Use this file to discover all available pages before exploring further.

The mem[v] MCP server lets AI assistants like Claude, ChatGPT, Cursor, and VS Code Copilot read and write to your knowledge graph directly.

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What is MCP?

The Model Context Protocol (MCP) is an open standard that lets AI assistants connect to external data sources and tools. Instead of copy-pasting context into your AI chat, MCP gives the assistant direct access to your mem[v] memories.

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Endpoint

https://mcp.memv.ai/mcp

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Authentication

The MCP server uses OAuth authentication via Clerk. When you connect a client for the first time, you’ll be prompted to sign in with your mem[v] account. No API keys needed.

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Available Tools

The MCP server exposes three tools:

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list_workspaces

List your mem[v] workspaces. Returns each workspace with its ID and name.

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add_memory

Add one or more memories to a workspace’s knowledge graph.
ParameterTypeRequiredDescription
workspaceIdstringYesThe workspace ID (use list_workspaces to find it)
memoriesarrayYesArray of { content, name? } objects

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search_memory

Search memories in your knowledge graph.
ParameterTypeRequiredDescription
querystringYesThe search query
workspaceIdstringNoLimit to a specific workspace. Searches all if omitted
maxResultsnumberNoMax results to return (default 10, max 50)

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Example Workflow

Once connected, you can interact with your memories naturally: 
You: What do I know about the Q4 product roadmap?
AI:  [calls search_memory with query "Q4 product roadmap"]
     Based on your memories, the Q4 roadmap includes...

You: Remember that we decided to postpone the mobile app to Q1.
AI:  [calls add_memory with content "Mobile app postponed to Q1"]
     Done, I've added that to your knowledge graph.

Setup Guide

Connect your AI client to mem[v]

Quickstart

New to mem[v]? Start here