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AI & Memory MCP Server

Memdocs

Git-native project memory for AI assistants with enterprise-grade audit compliance

Scan found nothing by Smart-AI-Memory1Apache-2.0PythonIntermediatestdio
View on GitHub Install Guide

Install

Claude Code

claude mcp add memdocs -- uvx memdocs

Safety Report

43% Scan found nothing
Scanned 5 months ago
3 passed 4 warnings
Security
Authentication
details

Weak auth signals: env_required

Warning
CORS Policy
details

stdio transport — CORS not applicable

N/A
Rate Limiting
details

Rate limiting detected: rate_limit_middleware, requests_per

Pass
Known CVEs
details

1 deps with known issues (medium)

Warning
Code Quality
Dependency Audit
details

1 deps with known issues (medium)

Warning
Dangerous Patterns
details

No dangerous code patterns detected

Pass
License
details

License: Apache-2.0

Pass
Community
Maintenance Status
details

Last commit 8 months ago

Warning

Learn about our security methodology →

Compatibility

Claude CodeFull support
Tested
CursorFull support
Tested
VS CodeFull support via Copilot
Tested
WindsurfFull support
Tested
Claude DesktopFull support
Tested

Frequently Asked Questions

What is Memdocs?

Git-native project memory for AI assistants with enterprise-grade audit compliance

Is Memdocs safe to use?

We cannot tell you that, and nobody scanning at this scale can. What we did in March 2026 was shallow-clone Memdocs and run five keyword searches over its source: auth identifiers, CORS configuration, rate-limit identifiers, the dependency manifest against a hardcoded list of 18 known-vulnerable packages, and unguarded eval/exec calls. None of them matched. A text search cannot follow a variable, judge intent, or tell you what a server does once it is running, so "nothing matched" is not "safe". What the scan does and does not cover is written out at /mcp/security.

What are alternatives to Memdocs?

Similar MCP servers include Context7, Cognee, Hindsight. Each serves a similar purpose but may differ in features, language, and compatibility.

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