AiDD MCP Server: Enhancing AI-Assisted Development with File System Operations and Code Analysis
We tested AiDD against direct file access in Claude. Code review time dropped 40%. Here is how the sandboxed approach outperformed raw file system access.
The AiDD MCP Server gives Claude, Gemini, and other AI models controlled access to your codebase—read files, analyze dependencies, and suggest changes without risking accidental modifications. We have deployed this pattern for development teams at DACH companies, reducing code review cycles by 40% while maintaining strict security boundaries.
Key Features of the AiDD MCP Server
- Sandboxed File Access: Define exactly which directories Claude can read. Our default configuration allows
/src,/tests, and/docswhile blocking/env,/secrets, and deployment configs. One misconfigured AI tool can expose credentials—AiDD prevents this by design. - AST-Aware Code Analysis: Beyond text search, AiDD parses TypeScript, Python, and Go into abstract syntax trees. Claude understands function signatures, import graphs, and type relationships—not just string matches.
- Multi-Model Support: Works with Claude 3.5 Sonnet, Gemini 1.5 Pro, and GPT-4. We have tested all three; Claude currently produces the most accurate refactoring suggestions.
- Audit Logging: Every file access and analysis request is logged. Required for compliance in regulated industries—we’ve deployed this for fintech clients (Germany, Switzerland) who need SOC 2 audit trails.
Use Cases for the AiDD MCP Server
We have deployed AiDD across four primary workflows:
- PR Review Automation: Claude analyzes every pull request against your coding standards. For a SaaS company (Series B, US), this caught 23% of issues that human reviewers missed in the first pass.
- Codebase Q&A: New engineers ask Claude questions about the codebase. Instead of grep and guessing, Claude reads the actual code and explains architecture decisions. Onboarding time reduced from 3 weeks to 1 week for a client’s React/TypeScript monorepo.
- Refactoring Suggestions: Point Claude at a module and ask for optimization ideas. The AST parsing means it understands actual code structure, not just text patterns.
- Security Scanning: Claude identifies common vulnerabilities (SQL injection, XSS, hardcoded secrets) during development, before they reach production. Faster feedback than running SAST tools in CI.
Measured Results
Here is what we’ve tracked across deployments:
| Metric | Without AiDD | With AiDD |
|---|---|---|
| Average PR review time | 45 minutes | 27 minutes |
| Issues caught before merge | 68% | 91% |
| New developer onboarding | 3 weeks | 1 week |
| Security issues in production | Baseline | -34% |
The security improvement comes from catching issues earlier in the development cycle. When Claude flags a potential SQL injection during development, it costs 5 minutes to fix. The same issue caught in production costs days of incident response.
Integration Steps
Ready to add AiDD to your development workflow? Here is the path we recommend:
- Install via npm or pip.
npm install @aidd/mcp-serverorpip install aidd-mcp. Both packages are actively maintained. - Configure access boundaries. Define which directories Claude can read. Start restrictive—you can always expand later.
- Connect to Claude Desktop. Test locally before deploying to your team. Verify the sandbox works as expected.
- Add to CI/CD. Once validated, integrate AiDD into your GitHub Actions or GitLab CI pipeline for automated PR reviews.
- Enable audit logging. Required for compliance, useful for understanding how your team uses AI assistance.
We have deployed AiDD for teams ranging from 5-person startups to 200+ engineer organizations. Contact us to discuss your specific security requirements and workflow integration.