Agent-friendly retrieval
The setup is optimized for a small set of source actions: search, read, capture public URLs, organize, and transform Markdown into task-specific context.
Codex MCP server
Give Codex a cleaner path to outside research, docs, transcripts, and saved web context while it works in a codebase.
Direct answer
Codex MCP setup lets a coding agent search and read createskills source captures during implementation, documentation, and research tasks.
Codebase context is not always enough. Product docs, framework migration guides, support notes, design references, and research threads often explain the change better than the repository alone.
Pasted files work for one-off tasks. MCP is better when the agent needs to search a growing source library or retrieve the right capture while work is underway.
Use MCP retrieval as evidence gathering, not blind authority. Ask the agent to name source files it used and run the normal repo verification commands.
The setup is optimized for a small set of source actions: search, read, capture public URLs, organize, and transform Markdown into task-specific context.
Before editing, search createskills for "billing migration notes".
Use the relevant captures to update the checkout docs.
List source titles and verification commands in the final response.FAQ
With MCP connected, the agent can retrieve saved captures that createskills has stored as Markdown.
Yes. MCP source context complements repository search; it does not replace reading the codebase.
Official docs, changelogs, migration guides, product specs, GitHub issues, and tutorial transcripts usually work best.
Keep exploring
Set up the createskills MCP server for Claude Code so agents can search saved sources, read Markdown, and capture public URLs during work.
Turn docs, issues, tutorials, and videos into Markdown context you can keep beside your code and reference in Cursor workflows.
Capture readable web pages as clean Markdown, keep the source URL, and reuse the content inside AI projects, source libraries, and agent workflows.
Compare Claude Skills and MCP for AI-agent workflows, including triggers, source files, live tools, setup complexity, and when to combine both.
Try it with your own sources