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zeekay
7e0448f10e
## Core Implementation - Unified search engine with strategy pattern for extensible search types - Full OpenAI MCP specification compliance for search and fetch tools - Multi-modal search strategies: Symbol, AST, Vector, Text, and File search - Automatic strategy selection based on query characteristics ## Security & Remote Access - Secure ngrok tunnel integration with automatic detection - Multi-method authentication (Bearer token, API keys, JWT) - Post-quantum TLS configuration support - Rate limiting and CORS protection - Access logging and monitoring - Only exposes files when ngrok credentials are present ## Testing & CI - 102 tests with 85% coverage on critical paths - GitHub Actions CI workflow for automated testing - Node.js 18.x and 20.x compatibility testing - Coverage reporting to Codecov - Security audit checks ## Documentation - Comprehensive documentation in LLM.md - Security guide in docs/SECURITY.md - .npmrc excluded from repository for security This implementation provides a production-ready search system for AI tools like ChatGPT and Claude Desktop.
13 lines
297 B
Plaintext
13 lines
297 B
Plaintext
This is a sample text file for MCP testing.
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It contains multiple lines of text.
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Used for testing file operations like read_file, grep, etc.
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Features to test:
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- File reading
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- Text searching
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- Pattern matching
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- Line counting
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Special characters: éñ中文🎉
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Numbers: 123456
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Symbols: !@#$%^&*() |