What is IDA Pro Multi-Session?

42/100
Trust Score (E)
⚠️ Use Caution

IDA Pro Multi-Session is a security that IDA Pro Multi-Session bridges IDA Pro's reverse engineering capabilities with language models for concurrent binary analysis.. It has a Nerq Trust Score of 42/100 (E). 6 GitHub stars. Published by https://github.com/xxipv6/ida-pro-mcp-multiple. Last analyzed November 2026.

Why This Score

Trust & Safety Overview

42
TRUST SCORE
E
GRADE
6
STARS
0
DOWNLOADS

What IDA Pro Multi-Session Does

IDA Pro Multi-Session is a mcp_server in the security category. IDA Pro Multi-Session bridges IDA Pro's reverse engineering capabilities with language models for concurrent binary analysis.. It is published by https://github.com/xxipv6/ida-pro-mcp-multiple and has no specified license. With 6 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use IDA Pro Multi-Session

IDA Pro Multi-Session is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Authorhttps://github.com/xxipv6/ida-pro-mcp-multiple
Categorysecurity
LicenseNot specified
Typemcp_server
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=ida-pro-multi-session

Setup guide · Full safety report · Production review · Is it safe?

Safer Alternatives

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Frequently Asked Questions

What is IDA Pro Multi-Session used for?
IDA Pro Multi-Session is a security tool. IDA Pro Multi-Session bridges IDA Pro's reverse engineering capabilities with language models for concurrent binary analysis..
Is IDA Pro Multi-Session free?
License: Check project page. IDA Pro Multi-Session has 6 GitHub stars.
Is IDA Pro Multi-Session safe?
IDA Pro Multi-Session has a Nerq Trust Score of 42/100 (E). Evaluate carefully.
What are alternatives to IDA Pro Multi-Session?
Top alternatives: Ciphey, strix, SWE-agent. See full comparison.

Last updated November 2026. Trust scores based on automated analysis of public data.

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