What dependencies does Graph Memory RCP MCP Server require?
It requires `@modelcontextprotocol/sdk: ^1.0.3` and `zod: ^3.22.4`.
@lecharles
基本信息
A Model Context Protocol (MCP) server implementation for graph-based memory storage with RAG capabilities
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"graph-memory-rag-mcp-server": {
"command": "node",
"args": [
"app.js"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
Graph Memory RCP MCP Server is a Model Context Protocol (MCP) server that provides graph-based memory storage. It allows AI agents to store and retrieve information in a graph structure, maintaining context and relationships between pieces of information. It is intended for developers integrating graph memory into AI agent workflows.
Install dependencies with npm install and start the server with node app.js. The server exposes tools for creating entities and relationships, querying entities and relationships by type, and deleting entities with cascading relationship cleanup.
It requires `@modelcontextprotocol/sdk: ^1.0.3` and `zod: ^3.22.4`.
Data is stored entirely in‑memory using two maps: one for entities and one for relationships. There is no persistent storage.
You can create entities (with name, type, and observations), create relationships between entities, query entities and relationships by type, and delete entities (which also removes their associated relationships).
The README does not describe any authentication or transport configuration; it uses the standard MCP interface.
The README does not specify explicit limits. Since storage is in‑memory, capacity is bounded by available system memory and data is lost when the server stops.

Search published GPU deployment, rack integration and structured cabling resources; read canonical documents and Leviathan Systems company service scope. Anonymous, read-only Streamable HTTP MCP. No credentials required.

Persistent memory for AI agents. Hosted MCP server with capsule-scoped key/value storage, tags, TTL expiration, bulk ops, and RBAC.

Shared memory for AI coding agents. Claude Code, Cursor and Codex read your project's decisions, lessons and tasks before they act.

One permissioned folder your team and your AI agents both log into.
Memlord is a remote MCP server available at https://app.memlord.com.
评论