mcpfusion
Reduces security configuration overhead and integration errors when building Claude-connected services.
MCP Fusion - The TypeScript framework for secure MCP servers.
- Build secure MCP servers in TypeScript with built-in authentication and data protection.
- Generate boilerplate code for multi-protocol server implementations quickly.
- Deploy production-ready MCP services without manually coding security features.
Reduces security configuration overhead and integration errors when building Claude-connected services. Provides battle-tested patterns for authentication, request validation, and service isolation that teams otherwise build ad-hoc.
TypeScript teams building MCP servers who need security and reliability without custom infrastructure work.
https://github.com/vinkius-labs/mcpfusion
By vinkius-labs
How to Get It
claude mcp add mcpfusion -- npx -y mcpfusion
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 build secure MCP servers in TypeScript with built-in authentication and data protection
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): 256 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.
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.
- Single maintainer. Consider the risk if this person stops maintaining the project.
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): 256 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.