Ghidra MCP — AI skill for Claude Code
Remote claude.ai MCP connector for Ghidra — headless daemon with OAuth 2.1 + SSE/Streamable-HTTP, deployable on k8s.
How to install Ghidra MCP
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open jaenster/ghidra-mcp and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Ghidra MCP does
Remote claude.ai MCP connector for Ghidra — headless daemon with OAuth 2.1 + SSE/Streamable-HTTP, deployable on k8s.
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README
ghidra-mcp
[](https://discord.gg/MHK2Dg9)
**Headless [Ghidra](https://ghidra-sre.org/) as an MCP server.** A single TypeScript daemon exposes Ghidra's reverse-engineering capabilities — decompilation, disassembly, cross-references, type/structure editing, call graphs, data-flow tracing, scripting and more — as [Model Context Protocol](https://modelcontextprotocol.io) tools over **SSE** and **Streamable HTTP**. Each session is driven by a real Java Ghidra process, so the results are exactly what Ghidra produces, not an approximation.
It runs two ways from the same codebase:
- Locally for a single user — bound to loopback, no auth, one command to start.
- Cloud-native as an OAuth-secured claude.ai connector: a daemon pod that spawns one Ghidra worker pod per session and talks to a shared Ghidra Server.
If this saves you time, you can [sponsor the work](https://github.com/sponsors/jaenster).
Concept
Ghidra is a heavyweight desktop reverse-engineering suite. ghidra-mcp runs it *headless* and puts a thin, fast protocol in front of it so an LLM agent can drive an analysis the way a human would in the GUI — open a program, decompile a function, rename a variable, lay down a struct, follow an xref — but programmatically and at scale.
Two processes, one protocol boundary:
- Daemon (Node/TypeScript) — the MCP server, transport, OAuth authorization server, session manager and worker pool. Holds no Ghidra state itself.
- Worker (Java) — a
com.ghidramcp.WorkerJVM with Ghidra on its classpath. One per session. Opens the program and executes the actual analysis commands.
The daemon launches a worker through a pluggable **backend**: a local child process (default) or **one Kubernetes pod per worker** (`GHIDRA_MCP_WORKER_BACKEND=k8s`).
Architecture

Diagrams are generat
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