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licenseB
qualityD
maintenanceA Model Context Protocol (MCP) server that can be deployed locally via stdio or remotely via SSE/HTTP endpoints, supporting multiple MCP clients including VS Code, Cursor, Windsurf, and Claude Desktop.
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AI Development Pipeline MCP
by theburgerllc
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TDQS
B3.4/5.0
Scored across 7 tools
Disambiguation5/5
Each tool has a clearly distinct purpose with no overlap: file operations (check, list, read, write), running tests, executing shell commands, and interacting with an AI agent. The descriptions make it easy to tell them apart, preventing misselection.
Naming Consistency4/5
Most tools follow a consistent verb_noun pattern (e.g., check_file_exists, list_directory_files, run_project_tests), but 'run_augment_prompt' deviates slightly by including the agent name. Overall, the naming is predictable and readable with only minor inconsistency.
Tool Count5/5
With 7 tools, this server is well-scoped for AI development pipeline tasks. Each tool earns its place by covering essential operations like file management, testing, shell commands, and AI interaction, without being too sparse or bloated.
Completeness4/5
The toolset covers core AI development workflows effectively, including file CRUD, testing, and command execution. A minor gap exists in version control operations (e.g., git commits or branches), but agents can work around this using the shell command tool.
Maintenance
ActivityInactive
ResponsivenessNo issues