datapack-check-mcp
Related Servers
Alternatives to datapack-check-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityDmaintenanceValidates Minecraft datapack JSON files (recipes, advancements, loot tables, etc.) against official Minecraft data formats using Spyglass.MIT
- AlicenseNot gradedqualityCmaintenanceExposes Language Server Protocol (LSP) tools such as diagnostics, goto definition, find references, symbols, and rename as a stdio MCP server.9MIT
- FlicenseAqualityDmaintenanceBridges MCP and LSP to enable semantic code analysis, including go-to-definition, find references, hover info, and function call relationship checks.4-
- FlicenseNot gradedqualityBmaintenanceExposes LSP features (definition, hover, references, etc.) over MCP, spawning an isolated language server process per project.-
- AlicenseNot gradedqualityAmaintenanceA local-first MCP server for safely creating, inspecting, validating, testing, and packaging Minecraft Java Edition datapacks with guarded file access and deterministic builds.45 npmMIT
- FlicenseNot gradedqualityBmaintenanceEnables MCP clients to analyze call graphs, run Grover-ranked code searches, generate boundary test cases, get refactoring suggestions, and inspect quantum backends through stdio JSON-RPC tools.2-
TDQS
Scored across 2 tools
The two tools are clearly distinct in scope: one checks a single file, the other checks an entire project workspace. There is no overlap or ambiguity about which tool to use for a given task.
Both tools follow a consistent 'check_' verb-noun pattern, with 'file' and 'project' clarifying the target. The naming is predictable and uniform.
The server has only 2 tools, which is below the typical 3-15 range, but the narrow purpose of checking datapack files is well-served by a file-level and a project-level check. The count is slightly thin but reasonable for the scope.
The domain is linting/diagnostics for datapack files. The server covers both individual file checks and whole-project scans, which are the only two granularities needed. No obvious operations are missing for the stated purpose.