Engram
FreeNot checkedEnables LLMs to build and explore a cognitive neuroscience-inspired knowledge graph with SQLite, supporting search, graph traversal, temporal sequences, and str
About
Enables LLMs to build and explore a cognitive neuroscience-inspired knowledge graph with SQLite, supporting search, graph traversal, temporal sequences, and structured reasoning.
README
A Model Context Protocol (MCP) server for building and exploring a cognitive neuroscience-inspired knowledge graph. Models thought, emotion, reasoning, and episodic memory after the structure of the human mind. Backed by SQLite — zero infrastructure, single file on disk, works offline.
Quick Start
npx mcp-engram
Or install globally:
npm install -g mcp-engram
mcp-engram
The server stores its database at ~/.mcp-engram/knowledge.db by default. No external services required.
Architecture
How It Works
The MCP server exposes 8 tools that let an LLM build, search, and traverse a knowledge graph:
| Tool | Purpose |
|---|---|
search_nodes |
Full-text search across all nodes (FTS5) |
explore_context |
Weighted graph traversal around given nodes |
create_nodes |
Create or upsert nodes of any type |
create_relations |
Create edges with context, weight, and confidence |
add_sources |
Record provenance (Source nodes + DERIVED_FROM links) |
get_temporal_sequence |
Follow chronological chains (NEXT, BEFORE, CAUSES) |
create_reasoning_chain |
Build structured multi-step reasoning |
get_reasoning_chain |
Retrieve reasoning chains by name or topic |
Node Types (15)
Entity, Event, Concept, Attribute, Proposition, Emotion, Agent, ScientificInsight, Law, Location, Thought, ReasoningChain, ReasoningStep, Source, EmotionalEvent
Storage
- SQLite with WAL mode for concurrent reads
- FTS5 virtual table for full-text search with BM25 ranking
- Recursive CTEs for graph traversal
- Single
nodestable for all types,edgestable with UNIQUE constraint, plusaliasesandobservationstables - Complex objects stored as JSON in a
propertiescolumn
Installation
Prerequisites
- Node.js v18+
- A C/C++ toolchain for compiling the
better-sqlite3native module:- Mac: Xcode Command Line Tools (
xcode-select --install) - Linux:
build-essential(apt install build-essential) - Windows: Visual Studio Build Tools
- Mac: Xcode Command Line Tools (
From npm
npx mcp-engram
From source
npm install
npx nx build mcp-engram
node dist/servers/mcp-engram/main.js
Environment Variables
| Variable | Required | Default | Description |
|---|---|---|---|
MCP_ENGRAM_DB_PATH |
No | ~/.mcp-engram/knowledge.db |
Path to the SQLite database file |
Integrating with Claude Desktop
Add the server to your Claude Desktop config:
Open your config file:
- Mac:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json - Linux:
~/.config/Claude/claude_desktop_config.json
- Mac:
Add the server configuration:
{
"mcpServers": {
"mcp-engram": {
"command": "npx",
"args": ["mcp-engram"]
}
}
}
- Restart Claude Desktop.
Project Structure
servers/mcp-engram/ # MCP server (TypeScript, ESM)
src/main/ # Server bootstrap, tool handlers, prompts
src/storage/ # SQLite backend, FTS, schema, validation
src/types/ # TypeScript interfaces and enums
libs/graphrag-memory/ # Shared type library (Entity, Relation, etc.)
Development
# Build all projects
npx nx run-many -t build
# Test all projects
npx nx run-many -t test
# Lint
npx nx lint mcp-engram
# Build specific project
npx nx build mcp-engram
npx nx build graphrag-memory
License
MIT
Installing Engram
This server has no published package — it is built from source. Open the repository and follow its README.
▸ github.com/shuruheel/mcp-engramFAQ
Is Engram MCP free?
Yes, Engram MCP is free — one-click install via Unyly at no cost.
Does Engram need an API key?
No, Engram runs without API keys or environment variables.
Is Engram hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install Engram in Claude Desktop, Claude Code or Cursor?
Open Engram on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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