dejaview-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@dejaview-mcpRemember that Alice is the lead on Project Atlas"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
dejaview-mcp
Persistent knowledge graph memory for AI agents — an MCP server backed by DejaView.
Connect Claude Desktop, Cursor, Windsurf, or any MCP-compatible host to a live knowledge graph. Your AI remembers people, projects, decisions, and relationships across every session.
Get your free API key at dejaview.io.
Option 1: Cloud (no install required) ⚡
The fastest way to get started — no pip install, no local process.
{
"mcpServers": {
"dejaview": {
"type": "streamable-http",
"url": "https://api.dejaview.io/mcp",
"headers": {
"Authorization": "Bearer dv_your_key_here"
}
}
}
}Paste this into your Claude Desktop, Cursor, or Windsurf MCP config. Done.
Related MCP server: Graph Memory MCP
Option 2: Local (pip install)
If you prefer to run the server locally:
pip install dejaview-mcpAdd to your config:
{
"mcpServers": {
"dejaview": {
"command": "dejaview-mcp",
"env": {
"DEJAVIEW_API_KEY": "dv_your_key_here"
}
}
}
}Config file locations:
macOS:
~/Library/Application Support/Claude/claude_desktop_config.jsonLinux:
~/.config/claude/claude_desktop_config.jsonWindows:
%APPDATA%\Claude\claude_desktop_config.json
What it does
DejaView gives your AI a persistent knowledge graph it can read from and write to across sessions. Unlike flat context windows that reset every chat, the graph grows over time.
Tool | What it does |
| Load a full memory summary at session start |
| Store a fact (subject, predicate, object) |
| Store multiple facts at once |
| Get everything known about an entity |
| Find entities by name |
| Natural language Q&A over the graph with citations |
| See recently stored facts |
| Entity and relationship counts |
| Generate a public shareable link for any entity |
| Remove a specific fact |
| Remove an entity and all its connections |
Example
Once connected, just chat naturally:
"Remember that Alice is the lead on Project Atlas and prefers async communication."
The agent calls remember() automatically. Next session:
"What do I know about Alice?"
The agent calls recall("Alice") and tells you everything — including things you told it months ago.
Self-hosting
Want to run your own DejaView instance? The API is open source: github.com/JakeC77/DejaView
Set DEJAVIEW_ENDPOINT to point at your instance:
DEJAVIEW_API_KEY=dv_... DEJAVIEW_ENDPOINT=https://your-instance.com dejaview-mcpLinks
Website: dejaview.io
API: api.dejaview.io/docs
GitHub: github.com/JakeC77/DejaView-MCP
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