whats-inherited-mcp
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Alternatives to whats-inherited-mcp
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Related Servers
- AlicenseNot gradedqualityDmaintenanceScans projects to discover all AI configuration files, MCP servers, agents, and memories across 19 tools, enabling export and import of the entire AI ecosystem.761MIT
- AlicenseAqualityAmaintenanceShows what is consuming your agent context window before a session starts: always-loaded skill descriptions ranked by token cost, skills installed more than once under different names, CLAUDE.md/AGENTS.md sizes including what their @import lines pull in, and MCP servers configured across clients. Read-only: no child processes, no network.556MIT
- FlicenseNot gradedqualityCmaintenanceEnables local, offline inspection and analysis of agentic AI projects by scanning project structure, detecting agent tools, and generating architecture reports through MCP tools, resources, and prompts.-
- AlicenseNot gradedqualityDmaintenanceEnables access to agent instruction files and prompts for AI development workflows. Provides tools to retrieve and list development rules, security checks, and common prompts from an agents library through MCP protocol.3Apache 2.0
- AlicenseAqualityBmaintenanceEnables AI agents to autonomously navigate a codebase by listing directories, reading files, searching code, and running whitelisted commands.56ISC
- AlicenseAqualityBmaintenanceGenerates AI context files (CLAUDE.md, AGENTS.md, Cursor/Windsurf/Cline/Continue/Kilo Code/Trae rules, GEMINI.md, Copilot, Aider, Junie, Warp) for any repository. Runs as CLI or MCP server, 100% local.3921MIT
TDQS
Scored across 5 tools
Each tool targets a distinct category of AI-facing repo content: MCP servers, instruction files, hook commands, agent extensions, and a summary count. There is no overlap in what they return.
All tool names follow a consistent lower_snake_case noun-phrase pattern describing the resource they expose. No verb confusion or mixed conventions.
Five tools is well-scoped for inspecting AI-related repository configuration. Each tool earns its place without redundancy or excessive granularity.
The set covers the major categories of AI-agent-related configuration: declared MCP servers, instruction files, auto-run hooks, agent extensions, and a summary. No obvious missing operation for the stated purpose.