What Java version is required?
Ghidra 11.3.1 requires Java 21 (Temurin preferred). Using an older or newer version may cause an “unsupported Java version” error.
@Bamimore-Tomi
Basic information
Ghidra MCP server that extracts decompiled binary context and exposes it to LLMs via Model Context Protocol.
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
🔍 Ghidra MCP Server lets you use Ghidra in headless mode to extract rich binary analysis data (functions, pseudocode, structs, enums, etc.) into a JSON file and expose it to LLMs like Claude via the Model Context Protocol (MCP). It turns Ghidra into an interactive reverse‑engineering backend for AI‑assisted analysis.
Install Java 21, Ghidra 11.3.1+, and Python 3.10+. Clone the project, then register the server with mcp install main.py. For testing, use mcp dev main.py. To connect with Claude Desktop, update its configuration file (claude_desktop_config.json) to point to the uv binary and the project’s main.py.
ghidra_context.jsonlist_functions(), get_pseudocode(name), list_structures(), get_structure(name), list_enums(), get_enum(name), list_function_definitions(), and get_function_definition(name)Ghidra 11.3.1 requires Java 21 (Temurin preferred). Using an older or newer version may cause an “unsupported Java version” error.
Claude cannot locate the `uv` binary by name. You must set the full absolute path to `uv` (found via `which uv`) in the `claude_desktop_config.json` file.
The README only lists macOS as tested. No explicit support for other platforms is documented.
The Ghidra script outputs all extracted data to a file named `ghidra_context.json` in the project directory.
Use the MCP CLI command `mcp install main.py` to register the server, or manually configure your client (e.g., Claude Desktop) with the command to run `main.py` via `uv`.

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