mcp-engram

mcp-engram

Enables LLMs to build and explore a cognitive neuroscience-inspired knowledge graph with SQLite, supporting search, graph traversal, temporal sequences, and structured reasoning.

Category
访问服务器

README

MCP Engram — Cognitive Knowledge Graph

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 nodes table for all types, edges table with UNIQUE constraint, plus aliases and observations tables
  • Complex objects stored as JSON in a properties column

Installation

Prerequisites

  • Node.js v18+
  • A C/C++ toolchain for compiling the better-sqlite3 native module:
    • Mac: Xcode Command Line Tools (xcode-select --install)
    • Linux: build-essential (apt install build-essential)
    • Windows: Visual Studio Build 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:

  1. 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
  2. Add the server configuration:

{
  "mcpServers": {
    "mcp-engram": {
      "command": "npx",
      "args": ["mcp-engram"]
    }
  }
}
  1. 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

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选