A
licenseA
qualityD
maintenanceUniversal MCP server that analyzes any codebase and provides structured context to AI assistants. Dynamic, accurate, and token-efficient.
18
18 npm
MIT
ast-editor
by kambleakash0
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TDQS
A3.9/5.0
Scored across 28 tools
Disambiguation4/5
Each tool targets a precise operation scope (whole function, body, signature, snippet, import, key, array, comment), and the descriptions include explicit 'Don't use when' pointers that make most distinctions clear. A few adjacent tools (add_top_level vs insert_sibling, edit_leading_comment vs replace_docstring) could still be confused at a glance, but the usage guidance resolves the ambiguity.
Naming Consistency4/5
The dominant verb_noun pattern (add_*, remove_*, replace_*, delete_*, read_*, list_*) is consistent and easy to predict. Minor deviations like edit_leading_comment and insert_sibling, plus the in_body/prepositional variants, keep it from being perfectly uniform.
Tool Count2/5
With 28 tools, the server is above the 25-tool threshold and presents a heavy selection surface for an agent. Although the tools are individually purposeful, several could plausibly be consolidated (e.g., comment/docstring editing or top-level insertion variants) without losing capability.
Completeness4/5
The toolkit covers reading structure, editing function signatures/bodies, managing imports, class members, top-level symbols, config keys/arrays, and comments/docstrings quite thoroughly. The main gap is the lack of a file-scoped rename or update-all-references operation, so multi-occurrence renames require manual per-function edits.
Maintenance
ActivityMaintained
ResponsivenessNo issues