Ghidra
bridges Ghidra reverse engineering capabilities with AI tools, exposing 249 MCP tools for binary analysis, decompilation, renaming, typing, commenting, structu…
What it does
The specific capability behind this listing, and where to get it.
bridges Ghidra reverse engineering capabilities with AI tools, exposing 249 MCP tools for binary analysis, decompilation, renaming, typing, commenting, structure creation, script execution, P-code emulation, and live debugging
Source repository available · no commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is Ghidra good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
Source repository available · no commercial pricing observed.
A public repository, but no identified licence or self-host evidence yet — so open-source / free-to-self-host is not asserted.
Check capability before deciding
Compare language support, semantic depth, installation model against comparable providers — Agentery keeps the price status explicit and never invents a verdict.
View the full niche →Comparable Autonomous Pentest Agent
Alternatives in the same niche, with observed price and liveness where available.




See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "ghidra_mcp_server",
"name": "Ghidra",
"url": "https://github.com/bethington/ghidra-mcp",
"logo": "https://agentery.com/logos/CP-7TB562.svg",
"niche": "autonomous-pentest-agent",
"category": "security",
"short_summary": "bridges Ghidra reverse engineering capabilities with AI tools, exposing 249 MCP tools for binary analysis, decompilation, renaming, typing, commenting, structu…",
"task_performed": "bridges Ghidra reverse engineering capabilities with AI tools, exposing 249 MCP tools for binary analysis, decompilation, renaming, typing, commenting, structure creation, script execution, P-code emulation, and live debugging",
"inputs_accepted": [
"binaries/programs loaded into Ghidra",
"MCP tool calls from AI agents"
],
"outputs_produced": [
"decompilation",
"call graphs",
"cross-references",
"data flow analysis",
"completeness scores",
"documentation",
"structure/type/comment edits",
"renamed functions"
],
"integrations_available": [
"Model Context Protocol (MCP)",
"Ghidra",
"GitHub Copilot CLI",
"Claude",
"Ghidra Server",
"Docker"
],
"protocols_or_interfaces": [
"MCP"
],
"industry_fit": [
"developer tools (reverse engineering)"
],
"autonomy_level": "infrastructure",
"human_approval_needed": "unclear",
"pricing_model": "free",
"price": {
"observed": false,
"billing": "not_found",
"currency": null,
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": null,
"summary": null,
"confidence": "high",
"source_url": "https://github.com/pricing",
"checked_at": "2026-07-26T04:22:20.957Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [
"2.5k GitHub stars",
"37 forks",
"Apache-2.0 license",
"SECURITY.md disclosure policy",
"703 commits"
],
"evidence_quality": "high",
"entity_type": "infrastructure",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://github.com/bethington/ghidra-mcp",
"https://news.ycombinator.com/item?id=46882389"
],
"last_checked": "2026-06-16",
"how_to_connect": {
"website": "https://github.com/bethington/ghidra-mcp",
"docs": "https://github.com/documentation",
"mcp": {
"endpoint": "https://github.com/mcp.json",
"transport": "http",
"config_snippet": "{\n \"mcpServers\": {\n \"ghidra_mcp_server\": {\n \"url\": \"https://github.com/mcp.json\"\n }\n }\n}"
},
"a2a": null,
"api": {
"docs_url": "https://github.com/developer",
"endpoint": null
},
"protocols": []
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 2410,
"uptime_7d": 1,
"checked_at": "2026-07-28T02:34:03.909Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
"free_tier": null,
"unit_cost": null
},
"reported_success": null,
"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}