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Dejaview Mcp

@JakeC77

Repository

About Dejaview Mcp

DejaView is a persistent knowledge graph memory layer for AI agents. It gives every MCP-compatible AI host shared, queryable memory of people, projects, decisions, and relationships — stored in a graph that grows smarter over time.

Basic information

Category

Memory & Knowledge

Transports

stdio

Publisher

JakeC77

Submitted by

JakeC77

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "dejaview": {
      "type": "streamable-http",
      "url": "https://api.dejaview.io/mcp",
      "headers": {
        "Authorization": "Bearer dv_your_key_here"
      }
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Dejaview Mcp?

Dejaview Mcp is a persistent knowledge graph memory layer for AI agents. It gives every MCP-compatible AI host shared, queryable memory of people, projects, decisions, and relationships — stored in a graph that grows smarter over time.

How to use Dejaview Mcp?

Install with pip install dejaview-mcp, then add a dejaview entry to your MCP server configuration with the DEJAVIEW_API_KEY environment variable. The server exposes 12 tools for storing, recalling, searching, and managing graph memories; call agent_context at the start of every conversation to load a full memory summary.

Key features of Dejaview Mcp

  • Knowledge graph with typed relationships between any entities
  • Natural language Q&A with answers cited from stored facts
  • Public sharing of entity subgraphs as interactive visual graphs
  • Works with Claude Desktop, Cursor, Windsurf, and any MCP host
  • Tools for storing, recalling, searching, and forgetting facts
  • Timeline and graph statistics tools for memory overview

Use cases of Dejaview Mcp

  • Load a full memory summary at the start of every conversation to maintain context
  • Store facts about decisions, relationships, preferences, and events as they occur
  • Ask natural language questions about stored knowledge and get cited answers
  • Share interactive graph links for any entity and its connections with others

FAQ from Dejaview Mcp

How do I install Dejaview Mcp?

Run pip install dejaview-mcp to install the package.

How do I configure Dejaview Mcp for my MCP host?

Add a dejaview entry to your mcpServers configuration with the command dejaview-mcp and the environment variable DEJAVIEW_API_KEY set to your API key from https://dejaview.io.

What tools does Dejaview Mcp provide?

It provides 12 tools including agent_context, remember, remember_many, recall, search, ask, timeline, graph_stats, share, forget, and forget_entity.

Where is my data stored?

Data is stored on the DejaView cloud service, accessed via your API key.

Which MCP hosts can I use Dejaview Mcp with?

It works with Claude Desktop, Cursor, Windsurf, and any other MCP-compatible host.

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