INDIVIDUAL MCP TOOL
list_files
List the text files ctx would include for a repository (after stripping binaries, lockfiles and build dirs), with their byte sizes.
LIVE ENDPOINT
https://ctx.vanshul.com/mcp
Connect to this endpoint to inspect the live schema for list_files and invoke it with your own arguments.
Indexed input schema
{}Risk classification
Inferred read-only · medium confidence · heuristic, not a guarantee.
- No write-capable action terms were found; this is not proof that invocation has no side effects.
Parent server
CONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.vanshul-ctx]
url = "https://ctx.vanshul.com/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"vanshul-ctx": {
"type": "http",
"url": "https://ctx.vanshul.com/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: vanshul-ctx
Remote MCP URL: https://ctx.vanshul.com/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"vanshul-ctx": {
"url": "https://ctx.vanshul.com/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"vanshul-ctx": {
"type": "http",
"url": "https://ctx.vanshul.com/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "vanshul-ctx",
"transport": "streamable-http",
"url": "https://ctx.vanshul.com/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
Related tools
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.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.get_file— Return the full text of a single file in a repository, by path.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.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.