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Declade/lucairn-sdks

by Various

Lucairn SDKs — privacy-preserving AI infrastructure clients for TypeScript, Python, Go, and an MCP server

D

MCP

Declade/lucairn-sdks

Added 1 June 2026

#ai #aigateway #certificate-transparency #mcp #privacy

Overview

Lucairn SDKs provide clients for TypeScript, Python, Go, and an MCP server to interact with a privacy-preserving AI infrastructure. These libraries let developers build applications that leverage AI without exposing user data.

Best for

Best for
Developers needing privacy-preserving AI infrastructure clients in TypeScript, Python, or Go

Use cases

  • Building privacy-focused AI applications in TypeScript, Python, or Go
  • Integrating with the Model Context Protocol (MCP) server for secure AI interactions
  • Developing multi-language AI infrastructure clients with consistent privacy guarantees

Notes

Lucairn SDKs provide clients for TypeScript, Python, Go, and an MCP server to interact with a privacy-preserving AI infrastructure. These libraries let developers build applications that leverage AI without exposing user data.

1 stars on GitHub. Last updated 2026-05-30. Licensed MIT.

Use cases

  • Building privacy-focused AI applications in TypeScript, Python, or Go
  • Integrating with the Model Context Protocol (MCP) server for secure AI interactions
  • Developing multi-language AI infrastructure clients with consistent privacy guarantees

Pros

  • Privacy-preserving architecture by design
  • Multi-language support covering TypeScript, Python, and Go
  • Includes an MCP server for standardized context management

Cons

  • Very low GitHub stars (1) indicates early stage or minimal adoption
  • Limited community and documentation available
  • Potential instability or incomplete feature set

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Privacy-preserving architecture by design
  • Multi-language support covering TypeScript, Python, and Go
  • Includes an MCP server for standardized context management

Cons

  • Very low GitHub stars (1) indicates early stage or minimal adoption
  • Limited community and documentation available
  • Potential instability or incomplete feature set
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