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zdravo-cursor

zdravo-cursor

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github.com/zdravo-aiMemory & Knowledge0Updated 18w ago
Repository

About zdravo-cursor

zdravo-cursor is an MCP server that gives Cursor AI persistent memory through Zdravo. It lets Cursor save memories and retrieve them with semantic search.

Key features

  1. 01Save persistent memories
  2. 02Search memories semantically

Use cases

  1. 01Keep context across Cursor sessions
  2. 02Retrieve stored details with a query

MCP support

It connects Cursor to Zdravo through MCP and exposes tools to save and search memories.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "zdravo-ai-zdravo-cursor": {
      "command": "npx",
      "args": [
        "-y",
        "@zdravoai/mcp"
      ],
      "env": {
        "ZDRAVO_API_KEY": "<ZDRAVO_API_KEY>"
      }
    }
  }
}
Run commandnpx -y @zdravoai/mcp
Environment variables to set
ZDRAVO_API_KEYSecretYour scoped Zdravo MCP API key from https://zdravo.ai/dashboard/mcp

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@zdravoai/mcp2.3.0

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

zdravo-mcp

Persistent memory for Cursor AI.
Connects Cursor to Zdravo AI — your personal long-term memory layer.

Setup

  1. Get your API key at zdravo.ai/dashboard/mcp
  2. Add to your Cursor mcp.json:
{
  "mcpServers": {
    "zdravo": {
      "command": "npx",
      "args": ["-y", "@zdravoai/mcp"],
      "env": {
        "ZDRAVO_API_KEY": "your-api-key"
      }
    }
  }
}
  1. Restart Cursor.

Available tools

ToolDescription
zdravo_saveSave a memory to your persistent store
zdravo_searchSearch your memory by semantic query

Links

Comments

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An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.