EDT-MCP is an Eclipse/OSGi plugin that implements a Model Context Protocol (MCP) server for 1C:Enterprise Development Tools (EDT). It exposes over 95 MCP tools enabling AI agents (Claude, Copilot, Cursor) to inspect and manipulate EDT workspaces – reading metadata, editing BSL code, running tests, managing debug sessions, performing git operations, and configuring infobases. The server runs as a plugin inside EDT, uses JSON-RPC 2.0 over HTTP/SSE transport, and supports progressive tool disclosure via toolsets. A separate proxy component allows routing MCP calls across multiple EDT backends with hot-plug failover. The architecture is layered: a protocol layer (session management, origin validation, JSON schema building), a tool registry with atomic catalog replacement, utility services for EDT model access (BmTransactions, ProjectContext, DebugSessionRegistry), and UI extensions (metadata tagging, virtual groups, call history view). The build uses Maven/Tycho and produces a p2 update site for EDT 2026.1 and 2026.2. Test coverage includes headless unit tests (JUnit/Mockito), Python e2e tests against a live server, conformance tests against the official MCP conformance suite, and ratchet tests that enforce coding standards, error quality, schema parity, and mutation safety. Key engineering patterns include: idempotent tool execution with destructive consent gates, PII redaction via HMAC pseudonymization, optimistic locking via ContentHash for read-modify-write cycles, bilingual Russian/English FQN normalization, and strict separation of read/write transactions (reads use IBmModel.executeReadonlyTask, writes use execute). The codebase is well-maintained with active issue triage and CI/CD pipelines.
This is a comprehensive test automation framework for 1C:Enterprise 8.3 managed applications, named 'Tester'. It provides a full suite of tools for creating, managing, executing, and reporting on UI and business logic test scenarios. The repository contains three main integrated components: (1) a native C++ add-in (addon/) that exposes low-level capabilities like screenshot capture, regex, file watching, metadata parsing, and a Model Context Protocol (MCP) server for AI agent integration; (2) a 1C:Enterprise configuration (tester/) with catalogs, documents, common modules, and forms implementing scenario lifecycle management, execution engine with debugging, job scheduling, error logging, and report generation; and (3) a VS Code extension (addon.vscode/) for editing scenarios with syntax highlighting, code completion, and direct test execution. The system supports distributed execution via agent computers, file system synchronization with external editors (EDT, VS Code), version control through git integration, and role-based access control. Notable patterns include a bilingual API (English/Russian method aliases), a fluent assertion library, a custom JSON diff engine for UI state comparison, and an XML log transpiler that converts recorded user actions into executable scripts. Documentation is extensive, including a separate wiki site built with MkDocs. The repository is actively maintained with frequent releases, though it shows medium technical drift due to some outdated dependencies in the VS Code extension and use of platform-specific workarounds.