AI coding assistants are only as good as their context. Trained on a snapshot of the past, they confidently call APIs that were renamed last month, miss new options, and reintroduce patterns a library has deprecated. The fix is to give the agent current, relevant context at the moment it generates code.
This guide explains how to feed Cursor and Claude up-to-date docs, changelogs, and your own source context through the Skimless MCP server.
Why agents code against outdated APIs
A model's training data has a cutoff. Anything that changed after it, a renamed method, a new required parameter, a deprecation, is invisible to the model unless you supply it. The result is plausible-looking code that does not match the current version of the library you are using.
Two kinds of context
- Public library docs. The current documentation for popular open-source libraries. Tools like Context7 specialize in this: ask about a library and it injects the latest docs.
- Your own sources. The changelogs, release notes, internal docs, and feeds specific to your stack and your project, including private ones a public-docs tool will never have.
Skimless focuses on the second, and complements the first.
How Skimless does it
Skimless turns the sources you follow into Context Packs: structured, current bundles of the docs, changelogs, and updates that matter to your project. Through the Model Context Protocol (MCP), Cursor and Claude Desktop can read those packs as context while you work.
- Follow the changelogs and docs for the tools in your stack.
- Skimless keeps them current as new entries land.
- Your agent pulls the relevant pack via MCP, so it generates code against today's API, not last year's.
Set it up
- Create a Skimless account and add the sources for your stack (docs, changelogs, release notes).
- Connect the Skimless MCP server to Cursor or Claude Desktop. See the MCP setup guide.
- Reference your Context Pack in a prompt; the agent reads current context before writing code.
When to use what
- Use Context7 for on-demand public docs of popular libraries. See the Context7 alternative comparison.
- Use Skimless when the context is your own curated set: private docs, the specific changelogs you track, and the sources you already follow.
Related reading: How to feed changelogs and docs to your AI coding agent and the Context Pack specification.