ida-multi-mcp: Multi-instance IDA Pro MCP server — analyze multiple binaries simultaneously through a single MCP endpoint

Last updated: 2026-09-19 · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install ida-multi-mcp

pipx install git+https://github.com/MeroZemory/ida-multi-mcp.git
claude mcp add ida-multi-mcp -s user -- ida-multi-mcp

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 67/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

Quick Facts

Stars	451
Forks	66
Language	Python
Category	MCP Server
Quality Score	67/100
Open Issues	1
Last Updated	2026-09-19
Created	2026-01-29
Platforms	mcp, python
Est. Tokens	~19k

About ida-multi-mcp

ida-multi-mcp Reverse-engineer several binaries at once — dropper, payload, C2 — through a single MCP endpoint. Each plugin-equipped IDA Pro database auto-registers when opened · headless idalib sessions · local, stripping-resistant function similarity across binaries. Install · In action · Why · Upstream · Architecture · Tools · <a href="#le

Compatible Skills

These tools work well together with ida-multi-mcp for enhanced workflows:

ida-agent-bridge — semantic(0.46)+complementary+same_lang+similar_pop+shared_platform (66%)
IDAssist — semantic(0.46)+complementary+same_lang+similar_pop+shared_platform (66%)
Rikugan — semantic(0.42)+complementary+same_lang+similar_pop+shared_platform (65%)
idac — semantic(0.41)+complementary+same_lang+similar_pop+shared_platform (64%)
IDA-Skill — semantic(0.37)+complementary+same_lang+similar_pop+shared_platform (63%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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