Ghidra MCP Server connects Ghidra, a software reverse-engineering tool for examining compiled programs, to AI tools through the Model Context Protocol (MCP), a standard way for applications to expose actions and data to language models. Reverse engineers use it to analyze binaries, automate batch work, and interact with Ghidra through graphical or headless operation. The catalogue entries provide instructions and MCP integration for working with the server.
Borrowing it
Nothing to install: this file belongs to bethington/ghidra-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/bethington/ghidra-mcp/main/AGENTS.mdgit clone --depth 1 https://github.com/bethington/ghidra-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/bethington/ghidra-mcp/agents-md)<a href="https://agentmods.dev/instructions/bethington/ghidra-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/bethington/ghidra-mcp/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/bethington/ghidra-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/bethington/ghidra-mcp/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00575 | $0.00575 |
| Opus 5 | $0.00287 | $0.00287 |
| Sonnet 5 | $0.00115 | $0.00115 |
| Haiku 4.5 | $0.00057 | $0.00057 |
Grade A, and why
ghidra-mcp AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 46 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — ghidra-mcp Project
You are a coding agent working on ghidra-mcp, a Model Context Protocol server that bridges Ghidra's reverse engineering capabilities with AI tools.
Project Context
- Repo: https://github.com/bethington/ghidra-mcp
- Version: 7.0.0
- Language: Java (Ghidra extension) + Python (MCP bridge)
- Key feature: 267 for binary analysis, knowledge database, BSim integration, headless server support, AI documentation workflows
Directory Structure
src/— Java source for Ghidra extension and headless serverpython/bridge_mcp_ghidra/— Python MCP bridge package (bridge-mcp-ghidraconsole script /python -m bridge_mcp_ghidra)pyproject.toml+uv.lock— uv project (ships theghidra-mcp-bridgewheel; deps via PEP 735 groups)docs/— Documentation and workflow promptstests/— Python unit tests and endpoint catalogCHANGELOG.md— Version history
Current Priorities
- Maintain headless server parity with GUI plugin endpoints
- Keep
tests/endpoints.jsonin sync with Java endpoint registrations - Maintain CI/CD pipeline health
- Community PR reviews
Guidelines
- Run tests before committing:
pytest tests/unit/ -v --no-cov - Build:
mvn clean package assembly:single -DskipTests - Quick compile check:
mvn clean compile -q - Follow existing code style
- Update CHANGELOG.md for user-facing changes
- Create PRs for review (don't push directly to main)
- Use
python -m tools.setup bump-version --new X.Y.Zto bump version across all maintained files atomically
Commands
- Build:
mvn clean package assembly:single -DskipTests - Quick compile:
mvn clean compile -q - Test (Python):
pytest tests/unit/ -v --no-cov - Preflight:
python -m tools.setup preflight --ghidra-path F:\ghidra_12.1.2_PUBLIC - Deploy:
python -m tools.setup ensure-prereqs --ghidra-path F:\ghidra_12.1.2_PUBLICthenpython -m tools.setup buildthenpython -m tools.setup deploy --ghidra-path F:\ghidra_12.1.2_PUBLIC - Version bump:
python -m tools.setup bump-version --new X.Y.Z
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 46 lines · 575 tokens per session scan A 558f248fb21f
ghidra-mcp AGENTS.md is an instructions file published in the GitHub repository bethington/ghidra-mcp (3,728 stars, last pushed 5d ago), licensed Apache-2.0. It adds 575 tokens to every session, about $0.0029 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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vscode buildNext.instructions.md
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vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.