Memory Cloud Protocol (MCP) Server

Name: Memory Cloud Protocol (MCP) Server
Author: OutCorp

@OutCorp

代码仓库

关于 Memory Cloud Protocol (MCP) Server

MCP Server created with cursor.ai

基本信息

分类

记忆与知识

运行时

node

传输方式

stdio

发布者

OutCorp

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-server-outcorp": {
      "command": "docker",
      "args": [
        "build",
        "-t",
        "mcp-server",
        "."
      ]
    }
  }
}

工具

未检测到工具

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。

概览

What is Memory Cloud Protocol (MCP) Server?

Memory Cloud Protocol (MCP) Server is a backend service for persisting and coordinating agent memory, designed for use with AI agents such as Cursor. It stores memory records, API tokens, project states, and function deployment metadata in a Supabase/PostgreSQL database, providing automatic entity lookup and REST endpoints for agent coordination.

How to use Memory Cloud Protocol (MCP) Server?

Clone the repository, install dependencies with npm install, copy .env.example to .env, set up a Supabase project with the required tables, then start the server using npm run dev (development) or npm start (production). Use the provided test scripts (test-local.sh, test-railway.sh) to verify health endpoints and authentication.

Key features of Memory Cloud Protocol (MCP) Server

Persists memory records for Supabase projects including UUIDs, table names, RLS states, and keys
Stores API tokens, project states, and function deployment metadata
Logs agent tasks and output
Provides automatic lookup of known entities to prevent repetitive errors
Exposes REST endpoints for memory management and agent coordination

Use cases of Memory Cloud Protocol (MCP) Server

Maintaining persistent context for AI agents across sessions
Coordinating agent actions through dispatch instructions
Logging and reviewing agent errors and task outputs

FAQ from Memory Cloud Protocol (MCP) Server

What database does Memory Cloud Protocol (MCP) Server use?

The server uses Supabase/PostgreSQL. You must create three tables (memory, logs, and dispatches) along with a UUID extension in your Supabase project.

What runtime dependencies are required?

Node.js is required. After cloning, run npm install to install dependencies. A Supabase project with the required tables must be available.

Where does data persist?

All memory records, logs, and dispatches are stored in the Supabase PostgreSQL database you configure.

How is the server deployed?

It is designed for Railway.app deployment using a Dockerfile and railway.json configuration. The server can also be run locally with Docker (docker build -t mcp-server then docker run -p 3002:3002 --env-file .env mcp-server).

What authentication is used?

Most REST endpoints require an MCP_API_KEY for authentication. The /health endpoint is public and does not require authentication.

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