Field-by-field comparison

Compare the evidence before choosing an MCP.

Each signal stays separate, missing facts remain visible, and the column order follows your selection.

MCPs in this comparison

Apify MCP ServerGhidra MCP Server

Uncheck an MCP to remove it. Comparing two or three keeps each signal in its own row.

Comparable alternatives

Firecrawl MCPMCP100 SelectedMCP Server for WinDbg Crash AnalysisMCP100 SelectedMCP Unity Editor (Game Engine)MCP100 SelectedPlaywright MCPMCP100 SelectedStripe MCPMCP100 SelectedoktaMCP100 Selected

Shown only when capability or industry context overlaps.

Side-by-side MCP evidence comparison
Evidence field	Apify MCP ServerMCP100 Selected	Ghidra MCP ServerMCP100 Selected
Task fit
Best for	Running Apify Store Actors and retrieving their datasets through a hosted or local MCP connection	Querying decompilation, symbols, references, functions, and analysis state inside Ghidra
Not ideal for	Simple page retrieval that does not justify an Apify account, Actor selection, and usage-based execution	Static analysis workflows that do not use Ghidra or do not need agent-driven interaction
Avoid when	The target site's terms, privacy requirements, or your organization prohibit the proposed extraction	The analyzed binary or Ghidra project cannot be exposed to the connected AI client
Provenance
Provenance details	Community implementation com.apify · Publisher source ↗	Community implementation github:bethington · Publisher source ↗
Maintenance
Maintenance details	Repo: Aug 14, 2026 Package: Not documented	Repo: Aug 14, 2026 Package: Not documented
Popularity evidence
GitHub stars	3,664 GitHub stars · checked 2026-08-14T18:46:26.000Z	3,308 GitHub stars · checked 2026-08-14T18:46:26.000Z
External adoption evidence	github: repository stars: 3,664Exact attributable signal.github: repository stars · Admission snapshot · checked 2026-08-14T18:46:26.000ZEvidence source ↗	github: repository stars: 3,308Exact attributable signal.github: repository stars · Admission snapshot · checked 2026-08-14T18:46:26.000ZEvidence source ↗
Client coverage
Client coverage details	Claude Code✓ Streamable HTTP Claude Desktop✓ Streamable HTTP Codex✓ Streamable HTTP VS Code✓ Streamable HTTP Cursor✓ Streamable HTTP OpenCode✓ Streamable HTTP	Claude Code✓ Local stdio Claude Desktop✓ Local stdio Codex✓ Local stdio VS Code✓ Local stdio Cursor✓ Local stdio OpenCode✓ Local stdio
Client coverage note	Local stdio runs on your computer. Streamable HTTP connects to a remotely hosted MCP server.
Access and data
Authentication	Hosted mode supports OAuth or Authorization Bearer APIFY_TOKEN; local stdio uses APIFY_TOKEN. Discovery tools can be unauthenticated, and agentic payment tokens are additional alternatives.	HTTP bearer authentication is optional through GHIDRA_MCP_AUTH_TOKEN; without it authentication is disabled. Non-loopback binding is refused without a token. Scripts require GHIDRA_MCP_ALLOW_SCRIPTS.
Cost	Actor and platform usage is chargeable according to Actor pricing; even free Actors incur platform usage. x402, Skyfire, and AGI payment paths are documented; no fixed MCP fee is stated.	The Apache-2.0 project lists no MCP fee. Ghidra, Java, Maven, hosting, and shared-server costs are separate.
Permissions	Dynamically exposes Apify Actors, including web, social, maps, and e-commerce scrapers, plus run, dataset, key-value-store, and documentation tools. call-actor executes external Actors.	Reads and writes binaries and projects, renames and types symbols, adds comments and structures, executes scripts, performs P-code emulation and debugging, and integrates with Ghidra Server.
Data handling	Requests and Actor inputs are sent to Apify; run results can be stored in Apify datasets and key-value stores. Telemetry is enabled by default and stdio uses Sentry; detailed retention is not documented.	Operates on local binaries and projects and optionally shared Ghidra Server data; decompilation, memory, debugger, and script results are returned through MCP. Telemetry and retention are not documented.
Limitations
Tradeoffs	Thousands of Actors broaden coverage, but each Actor has its own inputs and trust surface and Apify compute or proxy usage may incur charges.	It accelerates navigation and analysis, but agent actions can alter project state and reverse-engineering output still requires expert validation.
Risk context	Actor execution can scrape external sites, process personal or regulated data, incur spend, and return untrusted content. Restrict tools, use scoped tokens, review Actor pricing and terms, and control telemetry and storage.	Write access, optional arbitrary Java scripts, debugger control, and shared-server access create substantial integrity and confidentiality risk. Prefer loopback, bearer auth, scopes, scripts disabled, and supervised writes.
Evidence date
Editorial review	2026-08-11	2026-08-11
Candidate evidence	2026-08-14T18:46:26.000Z	2026-08-14T18:46:26.000Z

Popularity, maintenance, fit, permissions, and client support are independent evidence fields.

Read the evidence method →