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Turn local Markdown knowledge into searchable context for AI coding agents.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "context-hub-mcp" yet — see the docs or source repo.
Read my .context/ directory, extract coding standards, architecture conventions, and common workflows, then summarize them as context for an AI coding agent.
A structured project context summary that helps the agent generate and edit code consistently.
Search the .context/ docs related to the authentication module and identify why the current approach was chosen, its constraints, and maintenance considerations.
Key points with sources, summarizing decision rationale, constraints, and maintenance guidance.
Using product notes, API docs, and module descriptions in .context/, prepare the implementation context for a new team permissions feature and identify likely code areas to update.
A development-ready context package with relevant summaries, dependent modules, and suggested change areas.
Manage contextual data in Markdown with metadata for save, search, and retrieval.
Aggregate MCP servers and REST APIs into one unified AI tool gateway.
Give LLMs persistent, searchable access to project knowledge and session context.
Aggregate encyclopedic, research, and technical docs into one AI-ready knowledge interface.
Indexes JS/TS projects and builds optimized context packs for AI coding assistants
Bring GitHub repositories into AI context for search, file access, and analysis.