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

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6 days ago

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MCP servers

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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

$echo '{
<  "tool": "memory.read_graph",
<  "memoryKey": "default",
<  "entities": "[{\\"name\\": \\"John\\", \\"entityType\\": \\"person\\", \\"observations\\": [\\"Works at Acme Corp\\", \\"Lives in NYC\\"]}]",
<  "relations": "[{\\"from\\": \\"John\\", \\"to\\": \\"Acme Corp\\", \\"relationType\\": \\"works_at\\"}]",
<  "observations": "[\\"New observation 1\\", \\"New observation 2\\"]",
<  "entityNames": "[\\"John\\", \\"Acme Corp\\"]"
<}' |
<apify call constant_quadruped/memory-mcp-server --silent --output-dataset

Memory MCP Server API through CLI

The Apify CLI is the official tool that allows you to use Memory MCP Server locally, providing convenience functions and automatic retries on errors.

Install Apify CLI

Using installation script (macOS/Linux):

$curl -fsSL https://apify.com/install-cli.sh | bash

Using installation script (Windows):

$irm https://apify.com/install-cli.ps1 | iex

Using Homebrew:

$brew install apify-cli

Using npm:

$npm install -g apify-cli

Other API clients include:

Memory MCP Server API in Python

Memory MCP Server API in JavaScript

Memory MCP Server OpenAPI definition

Memory MCP Server API

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