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Cognitive Ai Memory MCP Server

by Sachitrafa
Developer ToolsUse Caution3.8MCP RegistryLocal
Free

Server data from the Official MCP Registry

Ebbinghaus-based persistent memory for Claude. Memories decay with time, strengthen on recall.

About

Ebbinghaus-based persistent memory for Claude. Memories decay with time, strengthen on recall.

Security Report

3.8
Use Caution3.8High Risk

The MCP server implements proper authentication via API keys and follows good security practices for database operations and embeddings. However, it has several concerning vulnerabilities including hardcoded default credentials, shell execution potential via path injection, and broad system permissions that exceed what's strictly necessary for its functionality. Supply chain analysis found 3 known vulnerabilities in dependencies (1 critical, 2 high severity).

7 files analyzed · 8 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

File System Read

Reads files on your machine. Normal for tools that analyze or process local data.

File System Write

Writes or modifies files on your machine. Check that this is expected for the tool.

HTTP Network Access

Connects to external APIs or services over the internet.

env_vars

Check that this permission is expected for this type of plugin.

database

Check that this permission is expected for this type of plugin.

process_spawn

Check that this permission is expected for this type of plugin.

Unverified package source

We couldn't verify that the installable package matches the reviewed source code. Proceed with caution.

What You'll Need

Set these up before or after installing:

PostgreSQL connection string with pgvector. Example: postgresql://localhost:5432/yourmemoryOptional

Environment variable: DATABASE_URL

Ollama server URL for local embeddings (nomic-embed-text) and classification (llama3.2:3b). Default: http://localhost:11434Optional

Environment variable: OLLAMA_URL

Ollama model used for fact/assumption classification. Default: llama3.2:3bOptional

Environment variable: EXTRACT_MODEL

How to Install

Add this to your MCP configuration file:

{
  "mcpServers": {
    "io-github-sachitrafa-cognitive-ai-memory": {
      "env": {
        "OLLAMA_URL": "your-ollama-url-here",
        "DATABASE_URL": "your-database-url-here",
        "EXTRACT_MODEL": "your-extract-model-here"
      },
      "args": [
        "cognitive-ai-memory"
      ],
      "command": "uvx"
    }
  }
}

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