rustyrazorblade opened a new pull request, #53:
URL: https://github.com/apache/cassandra-easy-stress/pull/53
This commit introduces a comprehensive MCP server implementation that
enables AI assistants to interact with cassandra-easy-stress through a
standardized protocol. The server provides tools for managing stress tests,
monitoring performance metrics, and controlling test execution.
Key Features:
- MCP server with SSE (Server-Sent Events) support using Ktor
- Six fully functional tools:
* list_profiles: Lists all available workload profiles
* info: Provides detailed profile information including schema
* fields: Lists all available field generators
* run: Executes stress tests in separate threads with full parameter
support
* status: Reports real-time metrics (throughput, latency, errors)
* stop: Gracefully terminates running stress tests
Implementation Details:
- Thread-safe execution with single-instance enforcement for stress tests
- Real-time metrics integration showing:
* Throughput (ops/sec) for selects, mutations, deletions
* Latency percentiles (mean, median, p95, p99, p999, max)
* Error rates (count, mean rate, 1/5/15 minute rates)
* Operation counts and elapsed time
- JCommanderFieldExtractor utility for dynamic parameter introspection
- Comprehensive test suite with 17 tests covering all functionality
Technical Stack:
- Kotlin MCP SDK (0.7.2) for protocol implementation
- Ktor (3.3.0) for HTTP server and SSE support
- kotlin-reflect for runtime parameter extraction
- Atomic variables for thread-safe state management
Testing:
- Full test coverage for all MCP tools
- Field extraction tests for JCommander integration
- Thread safety and single-instance enforcement tests
- Status reporting with metrics validation
This enables AI-powered automation and monitoring of Cassandra stress
testing workflows through a standardized interface.
Closes #42
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