MCP server
Ctx
io.github.vanshulgoyal101/ctx
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Turn a GitHub repo or docs site into agent-ready context: pack it or search it, over MCP.
Working at last checkAbout 1,387 tokens per request once connected6 tools
https://ctx.vanshul.com/mcp
At a glance
- Type
- MCP server
- Publisher
- Not verified
- Status
- Working at last check
- Tools
- 6
- Token cost
- About 1,387 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http ctx https://ctx.vanshul.com/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.ctx] url = "https://ctx.vanshul.com/mcp"
Gemini CLI
{"mcpServers":{"ctx":{"httpUrl":"https://ctx.vanshul.com/mcp"}}}
Cursor
{"mcpServers":{"ctx":{"url":"https://ctx.vanshul.com/mcp"}}}
VS Code
{"servers":{"ctx":{"type":"http","url":"https://ctx.vanshul.com/mcp"}}}
Antigravity
agy mcp add ctx https://ctx.vanshul.com/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"ctx","server_url":"https://ctx.vanshul.com/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"ctx","server_url":"https://ctx.vanshul.com/mcp"}
Tools
get_file~142 tokens
Return the full text of a single file in a repository, by path. Use after list_files or search_context to drill in.list_files~206 tokens
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.pack_docs~216 tokens
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.pack_repo~260 tokens
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~310 tokens
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?").search_docs~253 tokens
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.
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