AI & Memory MCP Server

Connapse

Name: Connapse
Author: Destrayon

Self-hosted knowledge backend for AI agents with hybrid vector + keyword search, container-isolated indexes, and 11 MCP tools. .NET, Docker-ready.

Scan found nothing by Destrayon4MITC#Intermediatestdio

View on GitHub Install Guide

Install

No auto-install command available for this server.

Check the GitHub repository for setup instructions

Safety Report

86% Scan found nothing

Scanned 5 months ago

6 passed 1 warnings

Security

Authentication

details

Authentication detected: env_required, bearer_check, connection_string, oauth

Pass

CORS Policy

details

No CORS-relevant transport detected (likely stdio)

N/A

Rate Limiting

details

Rate limiting detected: rate_limit_middleware, express_rate_limit

Pass

Known CVEs

details

No known CVEs in dependencies

Pass

Code Quality

Dependency Audit

details

No known vulnerable dependencies detected

Pass

Dangerous Patterns

details

No dangerous code patterns detected

Pass

License

details

License: MIT

Pass

Community

Maintenance Status

details

Last commit 5 months ago

Warning

Learn about our security methodology →

Frequently Asked Questions

What is Connapse?

Self-hosted knowledge backend for AI agents with hybrid vector + keyword search, container-isolated indexes, and 11 MCP tools. .NET, Docker-ready.

Is Connapse safe to use?

We cannot tell you that, and nobody scanning at this scale can. What we did in March 2026 was shallow-clone Connapse 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 Connapse?

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