A
licenseA
qualityD
maintenanceEnables AI agents to control VSCode workspaces, including file operations, terminal commands, search, and workspace management.
7
MIT
copilot-mcp
by hollanjs
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TDQS
B3.1/5.0
Scored across 56 tools
Disambiguation4/5
Most tools target clearly different resources or actions, and the domain grouping helps agents choose correctly. There is some overlap among file-editing tools (edit_file, edit_file_multi, replace_lines) and between run_command and specialized tools like run_tests/lint/format_code, but descriptions make the intended boundaries reasonably clear.
Naming Consistency3/5
All names use snake_case and several domain prefixes (git_, todo_) provide useful grouping. However, the naming pattern mixes verb_noun (read_file, list_dir), noun_verb/prefix_noun_verb (git_branch_create, todo_add), and bare nouns (grep, glob, lint), so it is readable but not fully predictable.
Tool Count2/5
56 tools is far above the typical well-scoped range and is likely to burden tool selection and context use. The tools are grouped sensibly by domain, but the overall surface is too large for a single MCP server.
Completeness4/5
The server covers a very broad coding-assistant surface: filesystem operations, git workflows, Python lint/test/format, web/API testing, diagnostics, data conversion, todos, and policy/audit helpers. Some lifecycle operations are missing or indirect, such as git pull/fetch/merge/clone and file move/copy, but run_command provides a fallback for many gaps.
Maintenance
ActivityMaintained
ResponsivenessNo issues