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glama

Ghidra MCP Server

Exposes Ghidra headless binary analysis capabilities via the Model Context Protocol, enabling AI assistants to decompile, analyze, and emulate binaries with 32 tools and multi-binary support.

→ wellingtonlee/ghidra-docker-mcp· listed on glama
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// key findings
✅
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
✅
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configGHIDRA_ANALYSIS_TIMEOUT_SECONDS— 300 Analysis timeout per binary
configGHIDRA_MAX_HEAP— 2g JVM max heap size
configJAVA_HOME— Java 21+ (e.g., OpenJDK 21) — must be set and java must be on your PATH.
configGHIDRA_INSTALL_DIR— environment variable pointing to your Ghidra installation.
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 7 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/wellingtonlee-ghidra-docker-mcp-1tu1cv)](https://m8ven.ai/mcp/wellingtonlee-ghidra-docker-mcp-1tu1cv)
commit: 312692758921cae2ca77c8c59ead2dae578f8f10
code hash: d5d857f89cc370bbad888865f655d4fe593921cbdcbb5fac872acfa8a9ebb2bd
verified: 6/22/2026, 1:29:31 PM
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