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by aezizhu • Security & Privacy
A secure, enterprise-ready MCP server that connects LLMs (including vision-enabled models) to files and images with an emphasis on preventing hallucinations.
Secure, authenticated access to read, write, and list files in a controlled server environment.
Accurate, non-hallucinated image analysis (metadata extraction, OCR, EXIF) for downstream LLM or vision-model reasoning.
Extend capabilities via plugins to integrate external services, caching, or custom tools while retaining observability and enterprise security features.
MCP FileBridge is an enterprise-grade server that bridges large language and vision models to local files, images, and network resources while providing strict controls to avoid hallucinated outputs. It includes JWT-based authentication, RBAC, rate limiting, observability (Prometheus, tracing), Redis caching, and a plugin architecture for extensibility. Built-in tools support file operations, technical image analysis (OCR, EXIF, base64 encoding), network fetching, and system diagnostics, with Docker and Kubernetes deployment manifests for production use. The project is TypeScript-first with testing, linting, and CI/CD guidance to support maintainable, secure deployments.
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