claude-code-mcp
Enables Claude to execute and validate code locally within secure environments, reducing context switching between AI assistance and development tooling whil…
MCP Server connects with claude code local command.
- Execute code snippets locally and get real-time results without leaving Claude
- Debug Python scripts by running them against test data and examining output
- Validate SQL queries directly against your database before deploying to production
Enables Claude to execute and validate code locally within secure environments, reducing context switching between AI assistance and development tooling while maintaining control over code execution.
Development teams using Claude for pair programming who need real-time code execution and testing without leaving the conversation interface.
https://github.com/KunihiroS/claude-code-mcp
By KunihiroS
How to Get It
claude mcp add claude-code-mcp -- npx -y claude-code-mcp
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:
Help me execute code snippets locally and get real-time results without leaving Claude
Trust Signals Auto-scanned
Data & Access
Community Pulse New
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3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 34 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
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.
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): 34 GitHub stars; contributors unknown; last commit 0d ago; license MIT.