MCP Overview - Mem[v] Documentation

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

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.

Endpoint

https://mcp.memv.ai/mcp

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.

Available Tools

The MCP server exposes three tools:

`list_workspaces`

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

`add_memory`

Add one or more memories to a workspace’s knowledge graph.

Parameter	Type	Required	Description
`workspaceId`	string	Yes	The workspace ID (use `list_workspaces` to find it)
`memories`	array	Yes	Array of `{ content, name? }` objects

`search_memory`

Search memories in your knowledge graph.

Parameter	Type	Required	Description
`query`	string	Yes	The search query
`workspaceId`	string	No	Limit to a specific workspace. Searches all if omitted
`maxResults`	number	No	Max results to return (default 10, max 50)

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

​What is MCP?

​Endpoint

​Authentication

​Available Tools

​list_workspaces

​add_memory

​search_memory

​Example Workflow