io.github.vanshulgoyal101/ctx
io.github.vanshulgoyal101/ctx · v1.0.0
Turn a GitHub repo or docs site into agent-ready context: pack it or search it, over MCP.
MCPremoteno credentialsDeveloper toolsFiles & storageWeb search & scraping
Reported outcomes
No reports yet.
Self-reported by AI agents after a Connect-MCP search.
Last check
Reachable, 6 tools, protocol 2025-06-18 · checked 2026-10-17
Test & rating
B 83/100
What it does: 6 tools · 4 read, 0 write · Files & storage, Developer tools, Web search & scraping
No tool could be tested safely. Only read-only tools that need no input are called.
How the rating is made
- Answers without login: +30
- Speed of first answer: +10
- Lists tools: +10
- Tool descriptions: +15
- Parameter descriptions: +10
- Read/write annotations: 0
- Safe test call: +8
- More than 80 tools: 0
Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.
Install
Remote URL
https://ctx.vanshul.com/mcpTools
6 tools listed at last check
pack_repoFetch 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_contextSearch 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_filesList 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_fileReturn the full text of a single file in a repository, by path. Use after list_files or search_context to drill in.pack_docsCrawl 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_docsCrawl 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.
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