Release v1.0.0: Initial public release #6
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🎉 First Public Release This release represents the initial stable version of the Cloudera AI Workbench MCP Server with comprehensive security fixes, testing infrastructure, and public repository setup. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Security Enhancements (Critical) Fixed critical security vulnerability affecting 46 functions: • Replaced subprocess.run() calls with secure requests library • API keys no longer exposed in process lists (ps/top) • All HTTP calls now use secure header-based authentication • Added 30-second timeouts to prevent hanging requests • Impact: Eliminated API key exposure vulnerability across entire codebase Files affected: • All create_* functions (7 files) • All delete_* functions (10 files) • All update_* functions (10 files) • All get_* functions (9 files) • All list_* functions (8 files) • All stop_/restart_ functions (4 files) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Testing Infrastructure Added comprehensive test suite for CI/CD: • test_all_functions.py: 11 unit tests covering all 47+ MCP tools • test_cai_mcp_client.py: FastMCP integration tests • Security vulnerability detection tests • Function signature validation tests • Response structure validation tests • Error handling tests CI/CD Automation Added GitHub Actions workflow: • Automated testing on all PRs • Security scanning • Multi-version Python testing (3.10, 3.11, 3.12) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Features 47+ MCP tools for Cloudera ML operations: • Project management (list, create, update, delete) • Job orchestration (create, run, monitor, stop) • Model lifecycle (build, deploy, manage) • Experiment tracking (create, log, query) • Application management (create, start, stop, restart) • File operations (upload, download, list, delete) Protocols supported: • FastMCP-based HTTP server (experimental) • FastMCP-based stdio server (recommended) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Core dependencies: • fastmcp>=2.11.0 (MCP protocol implementation) • requests>=2.28.0 (secure HTTP client) • python-dotenv>=1.0.0 (configuration management) • fastapi>=0.115.0 (HTTP server) • pyjwt>=2.8.0 (OAuth 2.1 support) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Ready For • Production deployment • CI/CD pipeline integration • Public contributions • Security audits • Docker/Claude Desktop integration License: Apache-2.0
Staging first release commit(dev)
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🎉 First Public Release
This release represents the initial stable version of the Cloudera AI Workbench MCP Server with comprehensive security fixes, testing infrastructure, and public repository setup.
🔒Security Enhancements (Critical)
Fixed critical security vulnerability affecting 46 functions:
Files affected:
Testing Infrastructure
Added comprehensive test suite for CI/CD:
test_all_functions.py: 11 unit tests covering all 47+ MCP toolstest_cai_mcp_client.py: FastMCP integration testsCI/CD Automation - Added GitHub Actions workflow:
Features
47+ MCP tools for Cloudera ML operations:
Protocols supported:
Core dependencies:
Ready For
License: Apache-2.0