---
title: "ghidra-mcp vs Agent-Reach"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/bethington-ghidra-mcp-vs-panniantong-agent-reach"
tools: ["bethington-ghidra-mcp", "panniantong-agent-reach"]
---

# ghidra-mcp vs Agent-Reach

*GraphCanon updated Jul 11, 2026*

## Verdict

Pick ghidra-mcp when ghidra-mcp is primarily Java; Agent-Reach is Python; pick Agent-Reach when agent-Reach is primarily Python; ghidra-mcp is Java.

[ghidra-mcp](https://github.com/bethington/ghidra-mcp) reports 2.8k GitHub stars, 58 forks, and 5 open issues, last pushed Jul 10, 2026. [Agent-Reach](https://github.com/Panniantong/Agent-Reach) has 55k stars, 4.5k forks, and 144 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [ghidra-mcp's repository](https://github.com/bethington/ghidra-mcp) and [Agent-Reach's repository](https://github.com/Panniantong/Agent-Reach).

| | [ghidra-mcp](/tools/bethington-ghidra-mcp.md) | [Agent-Reach](/tools/panniantong-agent-reach.md) |
| --- | --- | --- |
| Tagline | Ghidra MCP Server — 200+ MCP tools for AI-powered reverse engineering. GUI plugin + headless server, lazy tool loading, convention enforcement, batch operations, Ghidra Server integration, and Docker  | Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees. |
| Stars | 2,770 | 54,715 |
| Forks | 58 | 4,509 |
| Open issues | 5 | 144 |
| Language | Java | Python |
| Adopt for | - | - |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | MIT |
| Categories | Developer Tools, Inference & Serving | AI Agents, Developer Tools, LLM Frameworks |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [ghidra-mcp](/tools/bethington-ghidra-mcp.md) | [Agent-Reach](/tools/panniantong-agent-reach.md) |
| --- | --- | --- |
| Days since push | 1d | 0d |
| Open issues (now) | 5 | 144 |
| Full report | [trust report](/tools/bethington-ghidra-mcp/trust.md) | [trust report](/tools/panniantong-agent-reach/trust.md) |

## Choose when

### Choose ghidra-mcp if…

- ghidra-mcp is primarily Java; Agent-Reach is Python.
- License: ghidra-mcp is Apache-2.0, Agent-Reach is MIT.
- Tags unique to ghidra-mcp: ai, binary-analysis, ghidra, ghidra-extension.
- Also covers Inference & Serving.

### Choose Agent-Reach if…

- Agent-Reach is primarily Python; ghidra-mcp is Java.
- License: Agent-Reach is MIT, ghidra-mcp is Apache-2.0.
- Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation.
- Also covers AI Agents, LLM Frameworks.

## When NOT to use ghidra-mcp

- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.

## When NOT to use Agent-Reach

- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

## Common questions

### What is the difference between ghidra-mcp and Agent-Reach?

ghidra-mcp: Ghidra MCP Server — 200+ MCP tools for AI-powered reverse engineering. GUI plugin + headless server, lazy tool loading, convention enforcement, batch operations, Ghidra Server integration, and Docker . Agent-Reach: Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.. See the comparison table for live GitHub stats and shared categories.

### When should I choose ghidra-mcp over Agent-Reach?

Choose ghidra-mcp over Agent-Reach when ghidra-mcp is primarily Java; Agent-Reach is Python; License: ghidra-mcp is Apache-2.0, Agent-Reach is MIT; Tags unique to ghidra-mcp: ai, binary-analysis, ghidra, ghidra-extension; Also covers Inference & Serving.

### When should I choose Agent-Reach over ghidra-mcp?

Choose Agent-Reach over ghidra-mcp when Agent-Reach is primarily Python; ghidra-mcp is Java; License: Agent-Reach is MIT, ghidra-mcp is Apache-2.0; Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation; Also covers AI Agents, LLM Frameworks.

### When should I avoid ghidra-mcp?

Developer Tools: A gateway is overkill when you're pinned to a single provider and model. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.

### When should I avoid Agent-Reach?

AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

### Is ghidra-mcp or Agent-Reach more popular on GitHub?

Agent-Reach has more GitHub stars (54,715 vs 2,770). Stars measure visibility, not whether either tool fits your constraints.

### Are ghidra-mcp and Agent-Reach open source?

Yes - both are open-source projects on GitHub (ghidra-mcp: Apache-2.0, Agent-Reach: MIT).

### Where can I find alternatives to ghidra-mcp or Agent-Reach?

GraphCanon lists graph-backed alternatives at [ghidra-mcp alternatives](/tools/bethington-ghidra-mcp/alternatives) and [Agent-Reach alternatives](/tools/panniantong-agent-reach/alternatives) ([ghidra-mcp markdown twin](/tools/bethington-ghidra-mcp/alternatives.md), [Agent-Reach markdown twin](/tools/panniantong-agent-reach/alternatives.md)), ranked by typed relationship edges rather than popularity votes.

### Is there a machine-readable version of this comparison?

Yes. The markdown twin at [this comparison](/compare/bethington-ghidra-mcp-vs-panniantong-agent-reach.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, ghidra-mcp or Agent-Reach?

ghidra-mcp: Very active. Agent-Reach: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

### Where are the full trust reports for ghidra-mcp and Agent-Reach?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ghidra-mcp trust report](/tools/bethington-ghidra-mcp/trust); [Agent-Reach trust report](/tools/panniantong-agent-reach/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=bethington-ghidra-mcp`](/api/graphcanon/graph?tool=bethington-ghidra-mcp)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
