CodeMouse
AI code review on every GitHub pull request — check your review results, repos, and costs from Claude.
- Category
- Developer Tools
- Primary Subcategory
- Test Automation & QA
Integration details
Description
CodeMouse automatically reviews every pull request in your GitHub repositories using AI models running on your own API keys (Anthropic, OpenAI, Google Gemini, xAI, or OpenRouter). It posts inline review comments, resolves addressed threads, and can approve clean PRs — with no markup on model costs. This connector gives Claude read-only access to your CodeMouse account: list the accounts you belong to, see which GitHub organizations and repositories are connected, browse recent pull-request reviews, and pull full detail on any single review — status, findings posted, per-model runs, duration, and cost. Ask Claude things like "what did CodeMouse flag on my last PR?" or "how much did reviews cost this week?". All four tools are read-only and scoped to the organizations you are a member of. Sign-in uses OAuth — no API keys to paste. A CodeMouse account (free trial available at codemouse.ai) is required.
- Integration type
- Connector
- Verification status
Community connector- Platform
- Claude
- Primary Subcategory
- Test Automation & QA
- Secondary Subcategories
- None listed
- Brand
- CodeMouse
- Access
- Account required
- First tracked
- 2026-09-28
- Tool count
- 4
- Geography
- US
The Primary Subcategory used for this profile’s headline score.
Other Subcategories where the Integration is listed.
Claude Discoverability Score
Claude Connector discovery is coming soon
Community Connectors only appear in Claude’s registry.Once verified, organic discovery begins and we can calculate your score.Read more about Community Connector verification.
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What discovery looks like

Claude can surface verified Connectors when they match a user’s Prompt.
How Claude Connector discovery works
Your Connector will compete to appear for users’ Prompts once Claude verifies it
Competing in Claude Test Automation & QA
View Category4 tools agents can invoke
How do I improve a Community connector's discoverability?
The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.
What are CodeMouse alternatives on Claude?
As of 2026-09-29, CodeMouse competes with Atlassian MCP, YouTrack, Linear, Sentry, DevRev, Natoma, Runway (runway.team), Fullstory, Subtext, Jam, AccessLint, Autonoma, BetterBugs, Cypress Cloud, Limrun, mabl, mcp.webyes.com, Meticulous, OctoPerf MCP, QA Wolf, QA.tech, Rams, SnapVisor, Stark, Thunders in Claude Test Automation & QA, ranked by public Discoverability Score.
Where is this profile measured?
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.