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Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.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)
Search and ask your product's help pages, product map and support conversations in Cactus.
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.
Pick the AI app you use, then copy the settings.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Works in Claude on the web, desktop and mobile:
https://mcp.heycactus.ai/mcpRun this in your terminal
claude mcp add --transport http cactus https://mcp.heycactus.ai/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"cactus": {
"url": "https://mcp.heycactus.ai/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": {
"cactus": {
"type": "http",
"url": "https://mcp.heycactus.ai/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://mcp.heycactus.ai/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 against the domain heycactus.ai (the registry checks domain ownership)
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 22 days 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.
Cactus (heycactus.ai) learns a product from its codebase, answers its customers live, and keeps its help site and changelog current with every release. Its MCP server lets your team reach that knowledge from Claude, ChatGPT, Cursor, VS Code or any other MCP client.
This repository holds no server code. It lists Cactus's hosted MCP server: how to connect, the tools it offers, and the manifests MCP directories read.
https://mcp.heycactus.ai/mcpStep-by-step setup for each AI client: https://heycactus.ai/docs/connect-an-ai-client
In Claude Code:
claude mcp add --transport http cactus https://mcp.heycactus.ai/mcp
In Cursor, add this to .cursor/mcp.json:
{
"mcpServers": { "cactus": { "url": "https://mcp.heycactus.ai/mcp" } } }
You need a Cactus team with a product built from a GitHub repository. Cactus is about to launch; its closed beta started on 16 Oct 2026. Join the waitlist at https://heycactus.ai.
On https://mcp.heycactus.ai/mcp, signed in:
| Tool | What it does |
|---|---|
list_products | List your team's products |
search_help | Search the product's published help pages |
read_page | Read a help page |
list_topics | List help topics |
read_timeline | Read the product's dated record of releases |
lookup_map | Read the product map Cactus keeps from your code |
search_conversations | Search past customer conversations |
read_conversation | Read a conversation |
search_evidence | Search past customer conversations and imported help articles |
search, fetch | Search, and fetch a result |
ask | Ask Cactus a question. It answers from the published pages, the product map, the product knowledge and past conversations, and cites its sources |
start_investigation, get_investigation | Investigate a question in the product's code and knowledge, and read the finding |
Every tool carries MCP annotations. No tool edits or deletes anything. Only ask and start_investigation aren't read-only, because each runs a new answer or investigation.
Every product's public help center has its own server, with no sign-in: https://mcp.heycactus.ai/p/ /mcp. Cactus's own help center is https://mcp.heycactus.ai/p/cactus/mcp. It offers search_help, read_page, list_topics, read_timeline, ask_help, contact_team, search and fetch.
ask_help answers the way the help center answers a visitor. It starts from the published help pages and reads the product map, the code index and the code when those fall short. contact_team sends the team a message they can reply to.
The files in this repository are under the MIT license.