Ghidra MCP

Ghidra MCP

When to use

• Verify that a local GhidraMCP server is reachable.
• Load binaries into the headless Docker server and confirm metadata or analysis output.
• Call raw HTTP endpoints without retyping curl commands.
• Work around headless-specific constraints such as container-only file visibility.

Current local workflow

The common local setup in this environment is:

• headless server on http://127.0.0.1:8089
• Docker container named ghidra-mcp
• writable container data path /data

Canonical project location:

/Users/maleick/Projects/ghidra-mcp-skill

The local skills path points here via symlink:

/Users/maleick/.codex/skills/ghidra-mcp

Use the bundled helper:

python3 /Users/maleick/Projects/ghidra-mcp-skill/scripts/ghidra_mcp.py check

Documented surface for this skill version:

• total catalog: 193
• GUI endpoints: 175
• headless endpoints: 183
• validated against the ghidra-mcp v5.1.0 catalog in references/endpoints.json

Verify the live runtime against the catalog instead of assuming parity from the upstream release notes:

python3 /Users/maleick/Projects/ghidra-mcp-skill/scripts/ghidra_mcp.py parity --mode headless

Recommended headless sequence

1. Verify connectivity.
2. Copy the host binary into the container if the repo path is not mounted.
3. Load the container-local path with /load_program.
4. Read /get_metadata.
5. Run /run_analysis if needed.
6. Query exports, imports, functions, or any raw endpoint.

There is no special bulk-upload endpoint. For more than one executable, repeat the same container copy and /load_program flow per file, then qualify later calls with program=<basename> when more than one program may be loaded.

One-command verification:

python3 /Users/maleick/Projects/ghidra-mcp-skill/scripts/ghidra_mcp.py verify \
  /absolute/path/to/binary.exe --analyze

Multi-binary headless verification:

python3 /Users/maleick/Projects/ghidra-mcp-skill/scripts/ghidra_mcp.py verify-many \
  /absolute/path/to/eqgame.exe \
  /absolute/path/to/eqmain.dll \
  --analyze

Raw endpoint access

For endpoints not wrapped by the helper yet, use:

python3 /Users/maleick/Projects/ghidra-mcp-skill/scripts/ghidra_mcp.py call \
  POST /load_program --form file=/data/eqgame.exe

python3 /Users/maleick/Projects/ghidra-mcp-skill/scripts/ghidra_mcp.py call \
  GET /get_metadata --query program=eqgame.exe

POST example:

python3 /Users/maleick/Projects/ghidra-mcp-skill/scripts/ghidra_mcp.py call \
  POST /run_analysis

Program-qualified examples for the common headless sequence:

python3 /Users/maleick/Projects/ghidra-mcp-skill/scripts/ghidra_mcp.py call \
  GET /list_functions --query program=eqgame.exe --query limit=20

python3 /Users/maleick/Projects/ghidra-mcp-skill/scripts/ghidra_mcp.py call \
  GET /decompile_function --query program=eqgame.exe --query address=0x401000

python3 /Users/maleick/Projects/ghidra-mcp-skill/scripts/ghidra_mcp.py call \
  GET /get_metadata --query program=eqgame.exe

Headless caveats observed here

• Host paths are not visible inside the Docker container unless the repo is mounted there. If needed, copy binaries into /data first.
• Treat /mcp/schema as the source of truth for what the current runtime exposes.
• server/status refers to optional Ghidra Server integration, not whether the HTTP API itself is up.
• Some endpoints are documented for only one runtime mode even if the other mode exposes a placeholder or error stub.

Output expectations

• Prefer reporting:
  • endpoint reachability
  • live mode and schema count from /get_version and /mcp/schema
  • binary path used inside the container
  • metadata summary: image base, memory size, function count
  • whether analysis ran successfully
  • any headless limitation that blocks the next step

Source

The upstream repo advertises a large API surface and both GUI/headless modes:

• bethington/ghidra-mcp