ai.meminal/meminal
Memory for deep conversational context across any platform
Installation
Claude Desktop config (remote)
{
"mcpServers": {
"ai-meminal-meminal": {
"type": "streamable-http",
"url": "https://meminal.ai/mcp"
}
}
}Cursor config
{
"mcpServers": {
"ai-meminal-meminal": {
"url": "https://meminal.ai/mcp"
}
}
}Security Report
Score Breakdown
Findings (7)
Unclear Server Purpose and Capabilities
The description 'Memory for deep conversational context across any platform' is vague and doesn't clearly specify what this server does, what data it stores, or how it operates. The phrase 'across any platform' suggests broad scope without clear boundaries.
Remote HTTP Endpoint Without Visible Authentication
Server operates as a remote HTTP endpoint (streamable-http) at https://meminal.ai/mcp, which means it accepts connections from the internet. No authentication mechanism is documented.
Undefined Data Handling and Storage Scope
A 'memory' service that works 'across any platform' suggests it may store, process, and potentially share conversational data. The scope of what data is collected, retained, and how it's used is completely undefined.
Potential Data Collection Without Clear Disclosure
A memory/context service inherently collects conversation data. Without clear documentation of data handling, retention, and usage policies, there's risk of unintended data exfiltration or misuse.
No Source Code or Repository Available
No repository URL provided means the server's implementation cannot be audited. Combined with vague description and remote endpoint, this significantly increases trust concerns.
Tool Definitions Not Available
Tool definitions could not be fetched from the server, preventing detailed capability analysis. This is a limitation but not necessarily a security issue.
Semantic Analysis Summary
This server presents significant security concerns due to its vague description, remote HTTP endpoint without documented authentication, and undefined data handling practices. The claim of providing 'memory across any platform' without clear scope boundaries, combined with no available source code for audit, makes it difficult to assess actual risks. The lack of transparency about what data is collected, how it's stored, and who can access it raises serious privacy and data exfiltration concerns.
Last scanned 1h ago
Details
- Version
- 1.0.0
- Transport
- streamable-http
- Capabilities