MCP Diagnostics
Related Servers
Alternatives to MCP Diagnostics
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityBmaintenanceAn HTTP MCP server providing AI agents with real-time access to all VS Code diagnostics (TypeScript, ESLint, Prettier, etc.) via 5 powerful tools including workspace health scoring.1MIT
- AlicenseNot gradedqualityAmaintenanceMCP server that gives AI coding agents codebase navigation intelligence, enabling symbol lookup, reference finding, type inspection, and diagnostics through tools like locate, refs, hover, diagnostics, status, and rename.569 npmMIT
- AlicenseAqualityAmaintenanceMCP server that lets your coding agent see the squiggles — LSP diagnostics, navigation, refactoring, and each server's custom superpowers21532 npm5MIT
- AlicenseNot gradedqualityBmaintenanceA standalone MCP server that provides TypeScript type inference and hover information using tsgo, enabling AI agents to get type details, diagnostics, references, and more without needing an editor.6 npm1MIT
- AlicenseAqualityAmaintenanceAn MCP server that empowers AI coding agents to work effectively with Minecraft mod development, providing static analysis of decompiled source code and runtime interaction with a running Minecraft instance.3197 npm14MIT
- AlicenseAqualityDmaintenanceMCP server to expose VS Code editing features to an LLM for AI coding9672 npm394MIT
TDQS
Scored across 4 tools
The tools have overlapping purposes that could cause confusion. getDiagnosticsForFile and getDiagnosticsForPath both retrieve diagnostics for a single file, with the latter described as more flexible and recommended, creating ambiguity about when to use each. However, getDiagnostics and getDiagnosticsSummary serve clearly distinct purposes (all files vs. summary statistics), which helps mitigate some confusion.
All tool names follow a consistent camelCase pattern with a clear verb_noun structure (getDiagnostics, getDiagnosticsForFile, getDiagnosticsForPath, getDiagnosticsSummary). The naming is predictable and readable throughout the set, with no deviations in style or convention.
With 4 tools, the count is well-scoped for a diagnostics server. Each tool appears to serve a specific and necessary function (e.g., retrieving all diagnostics, per-file diagnostics, and summaries), making the set focused and manageable without being overly sparse or bloated.
The tool surface covers core diagnostics retrieval operations comprehensively, including all files, per-file, and summary views. A minor gap exists in the lack of tools for managing or clearing diagnostics (e.g., reset or update functions), but agents can likely work with the provided read-only operations for most use cases.