Metabob is a static code analysis tool built to run alongside AI coding agents such as Gemini CLI, Claude Code, and Cursor. It plugs into developer workflows through the Model Context Protocol, known as MCP. The company describes it as an intelligence layer that reviews code while an AI assistant is still generating it.
Metabob exposes two MCP tools that agents can call directly. The get_priority_issues tool returns a prioritized list of issues found in recently edited files. The search_codebase_issues tool searches for problems within a chosen category, such as security or logic issues.
According to Metabob’s documentation, the tool checks for five categories of problems: security vulnerabilities, logic errors, potential runtime failures, design flaws, and structural inconsistencies. It also provides annotations and guidance meant to help an agent fix issues without introducing regressions.
Metabob targets teams that rely on AI coding agents for a meaningful share of their work. It is offered as a free trial plus three paid tiers, with the Team and Enterprise tiers built around reporting and account management rather than self-hosted deployment.
Pricing
Metabob offers a free two-week trial that includes support for Gemini, Copilot, Kiro, Cursor, and Claude Code. The Pro tier costs $40 per month and adds a separate 7-day trial period plus custom AI agent support. The Team tier costs $50 per month and adds an analytics dashboard and account management. Enterprise pricing is custom and adds full repository scans and reports, an advanced analytics dashboard, and priority support.
* Disclaimer: Please note that pricing information may not be up to date. For the most accurate and current pricing details, refer to the official website.
Key Features
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Detects security, logic, runtime, design, and structural issues
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Runs in parallel with AI coding agents in real time
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Provides get_priority_issues tool for recently edited files
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Provides search_codebase_issues tool for category-specific searches
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Adds annotations and fix guidance to detected issues
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Configures via MCP for Gemini CLI, Claude Code, and Cursor
Use Cases
Guardrailing AI-Generated Code
Teams that lean on AI coding agents can call Metabob after each change. It reviews generated code for security, logic, and structural problems before they reach production.
Prioritizing Issues Across Active Files
The get_priority_issues tool returns the most important problems in files an agent recently touched. This lets a team focus review time on the changes most likely to matter.
Targeted Category Audits
Engineers can direct the search_codebase_issues tool at a single category, such as security or design. This produces a focused list instead of a general scan of the whole repository.
Reducing Agentic Fix and Break Loops
Metabob’s documentation states the tool provides annotations meant to stop agents from introducing regressions while fixing flagged issues. This is aimed at teams who have hit repeated fix-and-break cycles with autonomous coding agents.
Autonomous Review via AGENTS.md
Teams can configure an agent to call Metabob automatically through an AGENTS.md instruction file. This removes the need for a developer to manually trigger each review step.
Strengths & Weaknesses
Strengths
Metabob works directly inside existing AI agent workflows instead of requiring a separate review step.
It checks for five distinct issue categories rather than a single type of defect.
The get_priority_issues and search_codebase_issues tools give teams two different ways to query the codebase.
Configuration guides are published for Gemini CLI, Claude Code, and Cursor.
The free trial has no cost and covers a two week period before a decision is needed.
Weaknesses
The pricing page does not explain why the $40 per month Pro tier lists its own separate 7-day trial.
Copilot integration is listed as supported on the pricing page but marked as coming soon in the documentation.
No independent performance data, user counts, or client names are published on the pages reviewed.
On-premise or self-hosted deployment is not mentioned on the current marketing or pricing pages.
Who Is This For?
AI-Assisted Development Teams: teams that use agents like Cursor, Claude Code, or Gemini CLI for a large share of their coding work.
Engineering Leads Managing Agent Output: leads who need a way to check AI-generated code for security and logic issues before merge.
Teams Evaluating MCP Tooling: organizations already using the Model Context Protocol who want an additional review layer inside that workflow.
Teams Needing Reporting and Account Controls: larger teams that need the Team or Enterprise tier’s analytics dashboard and account management features.
Frequently Asked Questions
What does Metabob actually do?
Metabob is a static code analysis tool that reviews code generated by AI coding agents. It checks for security, logic, runtime, design, and structural issues.
Which AI coding agents does Metabob support?
Configuration guides are published for Gemini CLI, Claude Code, and Cursor. Copilot and Kiro are listed on the pricing page, though Copilot integration is marked as coming soon in the documentation.
How much does Metabob cost?
The free trial runs for two weeks. Paid tiers start at $40 per month for Pro and $50 per month for Team, with custom Enterprise pricing above that.
Is there a free version of Metabob?
Yes, Metabob offers a $0 trial for two weeks that includes support for several AI coding agents.
How does Metabob integrate with an agent’s workflow?
Metabob exposes two MCP tools, get_priority_issues and search_codebase_issues, that an agent can call directly. Teams can also configure automatic calls through an AGENTS.md file.
Does Metabob support on-premise or self-hosted deployment?
This is not mentioned on the current marketing or pricing pages, so it cannot be confirmed either way.
Does Metabob offer a VS Code extension?
Older product documentation references a free VS Code extension, but this is not reflected on the current homepage or pricing page, so its current status is unclear.
What is included in the Enterprise tier?
Enterprise pricing is custom and adds full repository scans and reports, an advanced analytics dashboard, and priority support on top of the Team tier.
Are there published user numbers or case studies for Metabob?
No user counts are published on the pages reviewed. A case study link is referenced on the site but was not reviewed for this summary.
Metabob currently publishes MCP configuration guides for Gemini CLI, Claude Code, and Cursor. The pricing page also lists Copilot and Kiro under its free trial tier, though the documentation describes Copilot support as still in progress. No integrations with version control platforms such as GitHub or GitLab, or with standalone IDE extensions, are listed on the pages reviewed.