Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Description from the maker (original English)
Turn a GitHub repo or docs site into agent-ready context: pack it or search it, over MCP.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
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Works in Claude on the web, desktop and mobile:
https://ctx.vanshul.com/mcpRun this in your terminal
claude mcp add --transport http ctx https://ctx.vanshul.com/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"ctx": {
"url": "https://ctx.vanshul.com/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"ctx": {
"type": "http",
"url": "https://ctx.vanshul.com/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
https://ctx.vanshul.com/mcpMenu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
We have not read this server’s tool list yet; we check endpoints in rotation.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account vanshulgoyal101, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Not checked yet; we check endpoints in rotation
Not checked yet; we check endpoints in rotation
Not checked yet; we read the tool list when we check the endpoint
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 3 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Context7, Codebase Memory, Exa
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
A public Model Context Protocol (MCP) server, running as a Cloudflare Worker, that turns a GitHub repository or a documentation site into agent-ready context. Point an AI agent at it and it can pack a whole repo (or crawl a docs site) into one token-counted blob — or search it and get back only the relevant passages, each with its file/URL and line.
It's the agent-first companion to mcp/: where mcp reads a single web page, ctx reads whole repos and doc sites. The repo pipeline fetches, gunzips and parses the tarball in-process; docs extraction reuses Mozilla Readability + Turndown.
POST https://ctx.vanshul.com/mcp # JSON-RPC 2.0 (MCP)
GET https://ctx.vanshul.com/health # { ok: true, tools: [...] }
| Tool | Input | Returns |
|---|---|---|
pack_repo | { repo, ref?, include?, exclude?, max_tokens? } | The repo as one context blob with ==== path ==== headers + token estimate |
search_context | { repo, query, ref?, include?, exclude?, max_matches?, context_chars? } | Only the passages matching query, each with file, line and score |
list_files | { repo, ref?, include?, exclude? } | JSON: the text files ctx would include, with byte sizes |
get_file | { repo, path, ref? } | The full text of a single file |
pack_docs | { url, depth?, max_pages?, max_tokens? } | A crawled docs site as one context blob (each page → Markdown) |
search_docs | { url, query, depth?, max_pages?, max_matches?, context_chars? } | Only the docs passages matching query, each with page URL, line and score |
repo is owner/repo, owner/repo/ref, or a github.com URL. url (for the docs tools) is an absolute http(s) docs page to start crawling from.
{ "mcpServers": { "ctx": { "url": "https://ctx.vanshul.com/mcp" } } }
Stdio-only clients bridge with npx mcp-remote https://ctx.vanshul.com/mcp.
~/.cursor/mcp.json: { "mcpServers": { "ctx": { "url": "https://ctx.vanshul.com/mcp" } } }
claude_desktop_config.json (Settings → Developer → Edit Config). If your version is stdio-only, use: { "mcpServers": { "ctx": { "command": "npx", "args": ["mcp-remote", "https://ctx.vanshul.com/mcp"] } } }
ctx with URL https://ctx.vanshul.com/mcp to your MCP servers config.# Pack a repo, capped to 8000 tokens
curl -s https://ctx.vanshul.com/mcp -H 'content-type: application/json' \ -d '{"jsonrpc":"2.0","id":1,"method":"tools/call", "params":{"name":"pack_repo","arguments":{"repo":"sindresorhus/slugify","max_tokens":8000}}}'
curl -s https://ctx.vanshul.com/mcp -H 'content-type: application/json' \ -d '{"jsonrpc":"2.0","id":2,"method":"tools/call", "params":{"name":"search_context","arguments":{"repo":"sindresorhus/slugify","query":"replace separator"}}}'
ctx/
├── src/ │ ├── worker.ts # entry: routes /mcp, /health, rate limit, CORS │ ├── mcp.ts # JSON-RPC dispatch + the six tool definitions │ ├── github.ts # fetch tarball, gunzip, parse tar, filter files (no deps) │ ├── pack.ts # assemble the context blob + token estimate │ ├── search.ts # ranked passage search over files (file + line) │ ├── docs.ts # crawl a docs site into pages (BFS, same-section) │ ├── extract.ts # HTML -> Markdown / links (Readability + Turndown) │ ├── fetcher.ts # bounded fetch with re-validated redirects (SSRF) │ └── security.ts # SSRF guard (block private/internal addresses) ├── public/ │ ├── index.html # landing page (served for non-API paths) │ ├── og.png / og.svg │ ├── robots.txt │ └── sitemap.xml ├── tests/ # vitest: github (tar parsing), pack, search, mcp, worker ├── docs/ # architecture, tools/API reference, deployment ├── wrangler.toml ├── package.json └── tsconfig.json
cd ctx
npm install npm run typecheck npm test # vitest — full suite npm run dev # local worker at http://localhost:8787 (POST /mcp) npm run deploy # wrangler deploy
owner/repo → github.com tarball → DecompressionStream('gzip')
→ in-process tar parse → drop binaries/lockfiles/build dirs → pack (concat + token estimate) OR search (ranked passages)
The GitHub URL is always constructed from a fixed owner/repo slug, so the repo tools have no SSRF surface. The docs tools fetch caller-supplied URLs, so every URL and redirect hop is re-validated against the SSRF guard. Downloads are bounded (timeout, size caps, page/file-count caps) and results are cached per-isolate for a few minutes.
Set a GITHUB_TOKEN Worker secret to lift GitHub's rate limit (60 → 5,000/hour) and read private repos:
wrangler secret put GITHUB_TOKEN
The token is a Worker secret only — never a tool argument — so it can't leak to an agent.
MIT © Vanshul Goyal