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Code Review Graph vs CtrlOps

Bottom line

Code Review Graph is free, while CtrlOps is paid.

Which one should you try?

Code Review Graph

Free

Best for Teams using Claude Code, Cursor, or other MCP-compatible AI coding assistants

CtrlOps

Paid

Best for Developers managing Linux servers

Pricing, capabilities and platforms side by side. Prices are as of the "Pricing checked" date in the table.

Code Review Graph

Code Review Graph

The tool builds a dependency graph of your codebase locally, then exposes that graph through MCP so Claude Code, Cursor, or any compatible assistant can ask targeted questions: which files are affected by this change, what is the impact radius, which communities cluster around this module. For large monorepos, this is the difference between a useful review context and a truncated one. The analysis runs entirely on your machine — no source code leaves the environment. The gap shows up when you need deep semantic understanding beyond structural imports; graph topology tells you what calls what, not whether the logic is correct.

CtrlOps

CtrlOps

CtrlOps brings SSH server management, file operations and AI-assisted terminal commands into a desktop application.

AttributeCode Review GraphCtrlOps
PricingFreePaid
Price—$7/user/month; $70/user/year; $149/user one-time
Pricing checkedNot checked yetOct 18, 2026
Free trialNot stated30 days
Open sourceYesNot stated
Has APIYesNot stated
Self-hosted optionYesNot stated
PlatformsLinux, macOS, Windows (Python 3.10+)macOS, Windows, Linux desktop; remote Linux servers over SSH
Released2023—
Pros
  • Reads only changed files and their structural dependencies rather than entire repositories, so your AI assistant's context window goes toward relevant code instead of noise from unrelated modules.
  • Impact radius scoring on change analysis, so reviewers see which downstream files carry the highest risk before opening a single one — rather than manually tracing imports across a large graph.
  • Fully local execution with no cloud dependency, so source code never leaves the environment — a hard requirement for teams under data residency or confidentiality constraints.
  • MIT-licensed with no paid tier and pip installation, so there is no procurement gate, no usage cap, and no feature that unlocks only when you upgrade.
  • Unified graph model across multiple languages, so a polyglot monorepo gets consistent structural queries without separate tooling per language stack.
  • Server and file tools in one application
  • Commands can be reviewed before execution
Cons
  • The graph captures import and call structure, not runtime behavior or semantic intent — questions like 'does this change break business logic in the billing module' return no useful answer, and teams with that requirement add a dedicated semantic search tool, maintaining two systems in parallel.
  • MCP is the only consumption interface; development environments without MCP support get nothing from this tool. Teams using IDE plugins or assistants that do not expose MCP cannot integrate it without building a custom bridge.
  • Community detection and architecture overview queries return structural clusters, which require a developer to interpret the output against domain knowledge — for teams onboarding to an unfamiliar codebase, the graph answers 'what talks to what' but not 'why.' Teams that need the 'why' typically switch to tools that ingest documentation and comments alongside the dependency graph.
  • Requires access to the managed servers
  • AI output still needs operator review

Made up your mind?

Code Review Graph

Free

Best for Teams using Claude Code, Cursor, or other MCP-compatible AI coding assistants

CtrlOps

Paid

Best for Developers managing Linux servers

Specs come from each tool's own site and docs (how we test). AIDiveForge is editorially independent.