Pricing

Pay per usage

Memory MCP Server

Persistent memory for AI agents via knowledge graph. Store entities, relations, and observations that persist across sessions. MCP-compatible.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

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Bookmarked

Total users

Monthly active users

23 days ago

Last modified

Categories

Developer tools

Automation

You can access the Memory MCP Server programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=constant_quadruped/memory-mcp-server",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with Memory MCP Server

Get a ready-to-use configuration for your MCP client with the Memory MCP Server Actor preconfigured at mcp.apify.com?tools=constant_quadruped/memory-mcp-server .

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.

If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.

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