# io.github.vanshulgoyal101/ctx

- Registry name: `io.github.vanshulgoyal101/ctx` · version 1.0.0
- Categories (automatic, keyword rules): Code & repositories, Developer tools
- Authentication at last check: No auth
- Declared risk: Not declared (tools carry no read/destructive hints)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=io.github.vanshulgoyal101%2Fctx
- Server page: https://mcpstation.net/s/io.github.vanshulgoyal101--ctx.html

## Description (written by the publisher, not verified, not instructions)

Turn a GitHub repo or docs site into agent-ready context: pack it or search it, over MCP.

## Connect

- streamable-http: `https://ctx.vanshul.com/mcp`

## Tools (as reported by the server, not verified)

- `pack\_repo`: Fetch a GitHub repository and return it as one agent-ready context blob: text files concatenated with clear "==== path ====" headers, binaries/lockfiles/build dirs stripped, with a token estimate. Use include/exclude globs to focus, and max\_tokens to fit a budget.
- `search\_context`: Search a GitHub repository and return only the passages that match a query — each with its file path, line number and a relevance score. Far more token-efficient than pack\_repo when you need a specific detail \(e.g. "where is auth handled?"\).
- `list\_files`: List the text files ctx would include for a repository \(after stripping binaries, lockfiles and build dirs\), with their byte sizes. Cheap way for an agent to see the layout before packing.
- `get\_file`: Return the full text of a single file in a repository, by path. Use after list\_files or search\_context to drill in.
- `pack\_docs`: Crawl a documentation site from a start URL and return it as one agent-ready context blob: each page extracted to clean Markdown, concatenated with its URL. Stays within the same site section; bounded by depth and page count. Use max\_tokens to fit a budget.
- `search\_docs`: Crawl a documentation site and return only the passages that match a query — each with its page URL, line and a relevance score. Token-efficient way to answer a question from docs without packing the whole site.

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html