@adhdev/mcp-server
Exposes IDE agents as standardized MCP tools, enabling engineering teams to integrate development automation into Claude workflows without custom API wiring.
ADHDev MCP server — expose IDE agents as MCP tools
- Ask Claude to refactor a function while it reads your actual codebase files.
- Generate unit tests for existing code by analyzing real project structure and dependencies.
- Find unused variables across your repository and get recommendations for cleanup.
Exposes IDE agents as standardized MCP tools, enabling engineering teams to integrate development automation into Claude workflows without custom API wiring. Reduces friction for teams adopting AI-assisted coding at scale.
Engineering teams leveraging Claude for code generation seeking seamless IDE integration without rebuilding agent interfaces.
https://www.npmjs.com/package/@adhdev/mcp-server
By vilmire
How to Get It
npx -y @adhdev/mcp-server
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
Once it’s connected, paste this into Claude:
Refactor a function while it reads my actual codebase files
Trust Signals Auto-scanned
Data & Access
Community Pulse Quiet
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 96 GitHub stars; contributors unknown; last commit 0d ago; license AGPL-3.0.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
- License (AGPL-3.0) may restrict commercial use. Check with your legal team.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 96 GitHub stars; contributors unknown; last commit 0d ago; license AGPL-3.0.