Context7
by upstash
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Computer or cloud★ 64,224MITUpdated today
Install
Llmmcp
Overview
Description from the maker (original English)
MCP server for real-time LLM API documentation — stop hallucinations
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
- UsageiNot measured yet★ –
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: –
- Transport:
- Category: Search & AI memory
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 1 of 1 passed
- Runs on your computer with your user’s permissions (files, network, apps).
- The registry lists no key to fill in.
The maker has not listed install details in the registry. See the maker’s README below.
What it can do
Runs on your computer; the tool list appears in your AI app after you install it.
Basic checksi
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 6, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account zero-abd, which owns the repo
- … Not checked yet
Still maintained
We have not read this repo from GitHub yet
- … Not checked yet
Has a licence
We have not read this repo from GitHub yet
- – Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
- – Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
- … Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints
Compared with others in Search & AI memoryi
- More stars than 0% of the other 7247 servers in this category
- Published to the registry more recently than 3% of the other 7247 servers in this category
- Basic checks equal to or better than 100% of the other 7247 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is Llmmcp safe?
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.
What keys or codes does it need?
The registry does not list a required key, though some servers ask you to sign in on first use.
Does it run on my computer or in the cloud?
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
Is it still maintained?
The GitHub repo last changed –, and the latest version (1.2.0) reached the registry 9 months ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code.
What can I use instead?
In the same category: Context7, Codebase Memory, Exa
Alternatives
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
Codebase Memory
by DeusData
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Runs on your computer★ 48,148MITUpdated 20 days ago
Install
Exa
by exa-labs
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Runs in the cloud★ 5,213MITUpdated last month
Install
README from the maker
Open the README
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.
llmmcp
🌐 Website: https://llmmcp.vercel.app
🎥 Demo:
https://github.com/user-attachments/assets/eaad8d05-b7a8-4bf0-86c6-4fe2726da628
Stop LLM hallucinations and outdated code patterns.
llmmcp is a Model Context Protocol (MCP) server that provides real-time, up-to-date documentation for major LLM providers (OpenAI, Anthropic, and Google Gemini). It ensures your AI agents—like Cursor, Claude Desktop, or Windsurf—base their work on current official documentation instead of stale training data or deprecated library patterns.
Why use llmmcp?
LLMs frequently hallucinate about their own latest versions, feature availability (e.g., tool use in certain models), and pricing. llmmcp fixes this by providing:
- ✅ Up-to-Date Model Info: Always know the latest available models (e.g., Gemini 2.0 Flash, Claude 3.5 Sonnet).
- ✅ Detailed API Params: Verified tool use syntax, context window sizes, and rate limits.
- ✅ Latest Implementation Patterns: Force your AI agent to follow current best practices instead of using legacy or deprecated library versions.
- ✅ Real-Time Search: Queries an indexed vector database of official provider documentation.
- ✅ Dynamic Listings: Get the current state of providers without hardcoded lists.
🚀 Quick Start
You can use llmmcp immediately in your favorite AI tools without local installation.
Cursor
Add a new MCP server in Settings > Models > MCP Servers:
- Name:
llmmcp - Type:
command - Command:
npx -y llmmcp@latest
Claude Desktop
Add the following to your claude_desktop_config.json:
{"mcpServers": { "llmmcp": { "command": "npx", "args": ["-y", "llmmcp@latest"] } } }
🛠 Features
search_docs
Search the latest official documentation for specific technical details. *Example: "What are the tool use parameters for Gemini 1.5 Pro?"*
list_providers
Get a dynamically updated list of available providers (OpenAI, Anthropic, Google) and their currently promoted models.
🏗 How it Works
llmmcp is designed for speed and reliability:
- Indexer: A weekly scraper fetches raw markdown/text from official documentation.
- Vector DB: Chunks are embedded and stored in Pinecone with integrated embedding support.
- Backend: A Cloudflare Worker handles query embedding and retrieval, caching frequent results in Workers KV.
- MCP Client: A thin CLI translates MCP requests into API calls for the Worker.
🤝 Contributing & Self-Hosting
This project is open-source. If you'd like to run your own instance of the backend:
- See Architecture & Deployment (coming soon, see current setup in logs).
- Fork the repo and submit a PR for new documentation sources.
Developed by Abdullah Al Mahmud
License
MIT