1C Debug MCP
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Alternatives to 1C Debug MCP
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- AlicenseAqualityBmaintenanceEnables any MCP client to debug programs through the Debug Adapter Protocol, supporting launch/attach, breakpoints, stepping, variable inspection, evaluation, and memory operations via a single debug tool.113 npmMIT
- FlicenseNot gradedqualityDmaintenanceEnables querying and interacting with 1C:Enterprise databases via COM connection without modifying the database.-
- AlicenseNot gradedqualityCmaintenanceEnables MCP clients such as Cursor and Claude to query and inspect 1C:Enterprise infobase data via COM without configuration extensions or changes, using 1C query language and metadata tools.MIT
- AlicenseNot gradedqualityBmaintenanceEnables launching and controlling a debugpy debug session through MCP, including setting breakpoints, stepping, evaluating expressions, and observing debugger state and events.MIT
- AlicenseNot gradedqualityAmaintenanceEnables AI agents to interact with 1C: Enterprise development environment, including running tests, managing launch profiles, building configurations, and performing database operations through the 1C: Platform Tools extension.42MIT
- AlicenseAqualityAmaintenanceEnables coding agents to connect to Debug Adapter Protocol debuggers over MCP, allowing them to launch or attach to native targets, control execution, set breakpoints and watchpoints, inspect stacks, variables, memory, and exceptions, and capture agent-friendly debugger snapshots.18266 npm3Apache 2.0
TDQS
Scored across 15 tools
Each tool targets a distinct phase of the 1C debugging workflow: connection, target management, execution control, inspection, and source mapping. Even similar actions like check_debug_server vs connect_debugger are clearly separated by whether a debugger UI is registered.
All tool names follow a consistent snake_case verb_noun pattern, such as list_debug_targets, attach_targets, set_breakpoints, and continue_or_step. This makes the toolset highly predictable and easy to navigate.
15 tools is at the upper boundary of the well-scoped range, but every tool earns its place in a debugger lifecycle: connect, list, attach, breakpoint, poll, inspect, evaluate, step, suspend, detach. The count matches the complexity of the domain without redundancy.
The toolset covers the full debugging workflow from connecting to a debug server and resolving source modules, through attaching targets, setting breakpoints, polling events, inspecting state, controlling execution, and detaching. There are no obvious dead ends or missing critical debugger operations.