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io.github.johnzfitch/pyghidra-lite

Token-efficient Ghidra RE: decompile, xrefs, Swift/ObjC, ELF/Mach-O, async analysis

Developer ToolsPythonv0.9.1

pyghidra-lite

PyPI Python Downloads License
CI MCP Registry MCP spec Claude Code plugin Ghidra Platforms

Token-efficient MCP server for Ghidra-based reverse engineering. Analyze ELF, Mach-O, and PE binaries with Swift, Objective-C, and Hermes support — decompile, disassemble, trace calls and value flow, recover data types, and map addresses back to file offsets. Runs on Linux, macOS, and Windows; ships as a Claude Code plugin with a bundled reverse-engineering skill.

Bottom line: a lean, security-first Ghidra MCP. It is read-only by default — analysis tools never mutate your binaries or the server's configuration (which is frozen for the life of the process). The one tool that writes, annotate (rename / comment / prototype), is opt-in (--allow-write) and human-confirmed: every change is approved by you through an MCP elicitation prompt before it's committed, and it fails closed if your client can't ask. You get an analyst-agent that can persist its findings — under supervision — without giving up the read-only safety story.

Quick Start

1. Prerequisites

A 64-bit JDK 21+ and Ghidra 11.x or 12.x are required (tested with Ghidra 12.1.2 and JDK 21).

# macOS
brew install openjdk@21
brew install ghidra

# Ubuntu/Debian
sudo apt install openjdk-21-jdk
# Download Ghidra from https://ghidra-sre.org

# Arch Linux
sudo pacman -S jdk21-openjdk
yay -S ghidra

Ghidra installed via Homebrew (brew install ghidra) or to /opt/ghidra or ~/ghidra is found automatically. Elsewhere — including any Windows install — point GHIDRA_INSTALL_DIR at the extracted ghidra_<version>_PUBLIC folder.

2. Install — pick one

Claude Code plugin (recommended for Claude Code)
MCP server + reverse-engineering skill in one step; prompts for your Ghidra directory. Needs uv on PATH.
/plugin install pyghidra-lite --marketplace johnzfitch/pyghidra-lite
Any MCP client
Install the package, then add it to your client (Claude Code: .mcp.json in your project or ~/.claude.json; other clients: see MCP Configuration).
pip install pyghidra-lite
{
  "mcpServers": {
    "pyghidra-lite": {
      "command": "pyghidra-lite"
    }
  }
}

3. Check the environment

pyghidra-lite doctor   # Ghidra, JDK, decompiler, project dir, locks; exits 1 on problems

[!TIP] Plugin users without a shell install can run the same check with uvx pyghidra-lite doctor.

4. Use it

You: Analyze the binary at /path/to/binaries/app

Claude: [calls load, info, code...]

Installation

Claude Code plugin

Installs the MCP server (run with uvx, so uv must be on PATH) together with the pyghidra-lite:reverse-engineering workflow skill, and asks for your Ghidra directory, cache directory, optional path restriction and whether to allow annotate:

/plugin install pyghidra-lite --marketplace johnzfitch/pyghidra-lite
  • On Claude Code before 2.1.275, run /plugin marketplace add johnzfitch/pyghidra-lite first, then /plugin install pyghidra-lite@pyghidra-lite.
  • The plugin pins an exact package version and runs one server per session. After a plugin update, run /reload-plugins (or start a new session) to switch to it.
  • Change the settings later under /config.

[!WARNING] If you also have a manual pyghidra-lite entry in .mcp.json or ~/.claude.json, remove it — otherwise every tool appears twice.

PyPI (recommended)

pip install pyghidra-lite

Arch Linux (AUR)

yay -S python-pyghidra-lite

From source

git clone https://github.com/johnzfitch/pyghidra-lite
cd pyghidra-lite
pip install -e .

MCP Configuration

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "pyghidra-lite": {
      "command": "uvx",
      "args": ["pyghidra-lite"]
    }
  }
}

uvx auto-installs pyghidra-lite from PyPI on first run. Ghidra is auto-detected; set GHIDRA_INSTALL_DIR in env if needed:

{
  "mcpServers": {
    "pyghidra-lite": {
      "command": "uvx",
      "args": ["pyghidra-lite"],
      "env": {
        "GHIDRA_INSTALL_DIR": "/path/to/ghidra"
      }
    }
  }
}

Claude Code

Create .mcp.json in your project (or ~/.claude.json for global):

{
  "mcpServers": {
    "pyghidra-lite": {
      "command": "pyghidra-lite"
    }
  }
}
Direct mode (skip proxy)

For single-session use or debugging, run the server directly:

{
  "mcpServers": {
    "pyghidra-lite": {
      "command": "pyghidra-lite",
      "args": ["serve"]
    }
  }
}
With explicit Ghidra path
{
  "mcpServers": {
    "pyghidra-lite": {
      "command": "pyghidra-lite",
      "args": [
        "serve",
        "--ghidra-dir", "/path/to/ghidra"
      ]
    }
  }
}
Restrict to specific paths

By default, pyghidra-lite can load binaries from any path (the MCP client handles permissions). Use --restrict-path to lock down access:

{
  "mcpServers": {
    "pyghidra-lite": {
      "command": "pyghidra-lite",
      "args": [
        "serve",
        "--restrict-path", "/home/user/binaries",
        "--restrict-path", "/opt/targets"
      ]
    }
  }
}
Shared HTTP transport (network access)

The HTTP/SSE transports are shared and apply DNS-rebinding protection (Host/Origin validation). Binding to a non-loopback address additionally requires both --restrict-path and a bearer token:

pyghidra-lite serve -t streamable-http --host 0.0.0.0 \
  --restrict-path /opt/targets \
  --auth-token "$PYGHIDRA_LITE_AUTH_TOKEN" \
  --allowed-host re.example.com:8000   # if fronted under another hostname

Clients then send Authorization: Bearer <token> on every request. Terminate TLS at a reverse proxy for remote access.

Tools (9)

pyghidra-lite provides 8 read-only analysis tools plus 1 opt-in write tool, all auto-detecting format (ELF/Mach-O/PE) and language (Swift/ObjC/Hermes):

ToolPurposeKey Parameters
loadImport and analyze binarypath, profile?, fresh?, bootstrap?, bootstrap_mode?
deleteRemove binary and cancel jobsname
binariesList binaries + job statusjobs?, rank_sources?
infoBinary overviewbinary, detail? (summary/full/format/sections/entropy)
functionsList/search functions, imports, exportsbinary, query?, type? (all/swift/objc/imports/exports/types/got/dylibs), limit?
codeDecompile, disassemble, p-code, bytesbinary, target, what? (decompile/asm/pcode/bytes/string), cfg?
xrefsReferences and call graphsbinary, target, direction?, depth?, diff?
searchFind strings, bytes, symbols, data typesbinary, query, type? (strings/symbols/bytes/all/blob/extract/types), mode?, bg?
annotate 🔒Rename / comment / set prototypebinary, target, action, name?/comment?/prototype?

🔒 annotate is the only tool that writes. It is disabled unless the server is started with --allow-write, and every change requires interactive confirmation (MCP elicitation) before it is committed — clients that can't confirm get a preview only. See Writing back.

Examples

# Import and analyze
load("/path/to/binary", profile="fast")

# Version-track from a prior build, including synthetic IDs for unnamed code
load("/path/to/new.bin", profile="deep", bootstrap="old.bin", bootstrap_mode="all")

# Get overview with full triage
info("mybinary", detail="full")

# List Swift functions
functions("mybinary", type="swift")

# Decompile with CFG
code("mybinary", "main", cfg=True)

# Search strings in background
search("mybinary", ["password", "api_key"], bg=True)

# Get cross-references
xrefs("mybinary", "malloc", depth=2)

# Value flow: SSA p-code, grouped by basic block; each value is defined once
code("mybinary", "parse_header", what="pcode")
# ...or just where one argument's value goes (forward slice; ~10x smaller on real code)
code("mybinary", "parse_header,param_2", what="pcode")

# Raw bytes plus where they live in the file (for patching)
code("mybinary", "0x4011a0,64", what="bytes")   # -> hex, ascii, file_offset, block

# Recovered struct layouts / enums / typedefs
search("mybinary", "sockaddr", type="types")

Auto-Detection

All tools automatically detect:

  • Format: ELF, Mach-O, PE
  • Language: Swift, Objective-C, Hermes/React Native
  • Runtime: Bun, Node.js, Electron, PyInstaller

Use the type and detail parameters to access format/language-specific features.

Bootstrap Modes

  • bootstrap_mode="named": transfer only meaningful source names (default).
  • bootstrap_mode="all": also assign stable synthetic labels to source FUN_* functions during transfer, which is useful for large version-to-version bootstrap workflows where uniqueness matters more than semantics.

Writing back

By default pyghidra-lite is read-only — no tool mutates your binaries. To let an agent persist findings (rename a function, attach a comment, fix a prototype), start the server with --allow-write:

pyghidra-lite serve --allow-write          # or PYGHIDRA_LITE_ALLOW_WRITE=1

Then the annotate tool becomes usable:

annotate("mybinary", target="FUN_00401000", action="rename", name="parse_header")
annotate("mybinary", target="parse_header", action="comment", comment="validates the v2 header")
annotate("mybinary", target="parse_header", action="prototype", prototype="int parse_header(char *buf, int len)")

Every call is human-confirmed: the server sends an MCP elicitation prompt showing the exact old -> new change, and only commits if you accept. If the server was started without --allow-write, the tool refuses; if your MCP client doesn't support elicitation, the tool returns a preview with applied: false and writes nothing (fail closed). Confirmed changes are written in a single Ghidra transaction and saved to the on-disk project.

Audit journal. Because MCP elicitation ultimately trusts the client (an autonomous "auto-approve" client can self-confirm), every write is recorded in annotate_audit.jsonl next to the projects — and every declined or failed attempt is logged too. Each line records old -> new, so the journal is both an accountability trail and an undo log; a flood of entries is your signal that an auto-agent is churning, and the server also nudges (ctx.warning) as write volume climbs. The journal is fail-closed and hardened: a write is recorded before it's applied (if it can't be journaled, it isn't committed), the file is created 0o600 and opened with O_NOFOLLOW (a symlinked journal is refused), and it rotates by size so it can't grow without bound.

Analysis Profiles

ProfileUse Case
fastQuick triage, disables 20 slow analyzers (default)
defaultBalanced, full Ghidra analysis
deepThorough analysis for obfuscated code

The server defaults to fast to stay within MCP timeout limits. Use load(fresh=True) to run deeper analysis when needed:

# Default import uses fast profile
load("/path/to/binary")

# Re-analyze with deep profile
load("/path/to/binary", profile="deep", fresh=True)

Token Efficiency

pyghidra-lite is designed for minimal token usage:

  • Compact JSON - results are serialized without indentation, one text block per call (measured: 33% fewer characters than pretty-printed output across all tools on a sample binary)
  • No empty fields - false flags, empty tag lists and null context are omitted
  • Slices, not dumps - code("func,var", what="pcode") returns only the ops a value flows into (on ws2_32.dll WSAStartup: ~1.9K characters vs ~22K for the full listing)
  • Compact output by default - functions(binary, type="all") returns minimal {name, addr} pairs
  • Opt-in detail - use info(detail="full"), code(cfg=True), or richer type/what modes only when needed
  • Progress reporting - large imports report progress every 10% or 60s
  • Truncated strings - long strings capped at 500 chars

Architecture

By default, pyghidra-lite runs as a lightweight stdio proxy (~10MB) that forwards to a persistent shared HTTP backend (~500MB JVM). Multiple sessions share a single JVM instead of each spawning their own.

Claude Code session 1 ──stdio──> proxy ──┐
Claude Code session 2 ──stdio──> proxy ──┼──HTTP──> shared backend (1 JVM)
Claude Code session 3 ──stdio──> proxy ──┘        localhost:19101

The proxy auto-starts the backend on first use, and a file lock plus a port check stop concurrent proxies from spawning duplicates. The backend keeps running until pyghidra-lite stop; binaries idle for 30 minutes are unloaded from memory (the 2 most recent stay loaded) and reload transparently from disk.

[!IMPORTANT] The proxy reuses whatever backend is already listening, whatever its version. After upgrading pyghidra-lite, run pyghidra-lite stop so the next session starts the new code. (serve and the Claude Code plugin run one server per session and don't have this issue.)

CommandWhat it does
pyghidra-liteStdio proxy (default) -- auto-starts backend
pyghidra-lite serveDirect stdio server (1 JVM per session)
pyghidra-lite serve -t streamable-httpStart persistent HTTP backend manually
pyghidra-lite stopStop the shared backend
pyghidra-lite doctor [--json]Diagnose the environment (read-only; exit 1 if analysis would fail)

Set PYGHIDRA_LITE_NO_AUTOSTART=1 to disable auto-start (useful with systemd).

Configuration

Every setting is a serve flag or an environment variable (handy in an MCP env block):

VariableFlagDefaultPurpose
GHIDRA_INSTALL_DIR--ghidra-dirauto-detectGhidra installation
PYGHIDRA_LITE_PROJECT_DIR--project-dirsee belowAnalysis cache
PYGHIDRA_LITE_RESTRICT_PATHS--restrict-path (repeatable)unrestrictedOnly load binaries under these dirs (env: OS path separator)
PYGHIDRA_LITE_ALLOW_WRITE--allow-writeoffEnable annotate (still human-confirmed)
PYGHIDRA_LITE_DEFAULT_PROFILE--profilefastDefault analysis profile
PYGHIDRA_LITE_TOOL_TIMEOUT—300 secondsPer-call budget so a wedged JVM call can't hang the client; 0 disables
PYGHIDRA_LITE_AUTH_TOKEN--auth-tokennoneBearer token for HTTP transports (required off-loopback)
PYGHIDRA_LITE_NO_AUTOSTART—offProxy never spawns a backend
—--evict-after / --min-loaded30 min / 2Memory eviction of idle binaries
—--autopurge-daysoffDelete projects not opened in N days

Multi-Agent Support

Each binary gets its own Ghidra project, enabling:

  • Parallel analysis of different binaries
  • Shared results across agents
  • Persistent analysis (survives restarts)
  • Content-addressed storage (same binary = same analysis)

Projects are stored in ~/pyghidra-lite/projects/ (Windows: %LOCALAPPDATA%\pyghidra-lite\projects\), or in the pre-0.8 location ~/.local/share/pyghidra-lite/projects/ if that already exists. Override with --project-dir or PYGHIDRA_LITE_PROJECT_DIR. Ghidra 12+ rejects project paths with a component starting with ., so a legacy ~/.local directory only works with Ghidra 11.x — pyghidra-lite doctor flags this.

Links

License

MIT

Installation

Source-derived launch command. Check the maintainer’s required arguments and credentials before running:

bash
uvx pyghidra-lite

Set up in your AI client

Merge this template into ~/Library/Application Support/Claude/claude_desktop_config.json. Keep existing servers. Add any arguments, credentials, and permissions required by the maintainer; this template has not been install-tested.

json
{
  "mcpServers": {
    "io-github-johnzfitch-pyghidra-lite": {
      "command": "uvx",
      "args": [
        "pyghidra-lite"
      ]
    }
  }
}

Restart Claude Desktop completely for changes to take effect. Confirm the server appears connected in the client’s tool list, then try a read-only example from its documentation.

Claude Desktop setup reference

Package

pyghidra-litepypi

Compatible MCP Clients

io.github.johnzfitch/pyghidra-lite works with any MCP-compatible client. Copy the config snippet from the Configuration section above and add it to the file shown for your client, then restart the application.

  • Claude Desktop~/Library/Application Support/Claude/claude_desktop_config.jsonRestart Claude Desktop completely for changes to take effect.
  • Cursor~/.cursor/mcp.jsonRestart Cursor for changes to take effect.
  • VS Code.vscode/mcp.jsonReload VS Code window for changes to take effect.
  • Windsurf~/.codeium/windsurf/mcp_config.jsonRestart Windsurf for changes to take effect.
  • Claude Code.mcp.jsonSave at the project root, then start Claude Code in that project and review the MCP server approval prompt. Keep real credentials out of shared files.

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