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Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.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)
Atlaso, the AI memory layer: one shared, persistent memory for every AI tool you connect.
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
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Works in Claude on the web, desktop and mobile:
https://mcp.atlaso.ai/mcpRun this in your terminal
claude mcp add --transport http atlaso https://mcp.atlaso.ai/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"atlaso": {
"url": "https://mcp.atlaso.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": {
"atlaso": {
"type": "http",
"url": "https://mcp.atlaso.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.atlaso.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.
The server asks you to sign in before it lists its tools.
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 8, 2026
The registry name was verified against the domain atlaso.ai (the registry checks domain ownership)
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Responded in 171 ms (HTTP 401)
Declares OAuth sign-in, so your AI app can take you to log in
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 3 of 3 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 (1.0.2) reached the registry 13 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.
Atlaso is an AI memory layer: one shared, persistent memory across every AI tool you connect.
Tell it once in one tool, and it's already there in the next. Atlaso recalls the context that matters before each turn and captures the durable facts after — your decisions, your preferences, and where you left off.
This repository documents Atlaso's hosted MCP server. Atlaso is a managed service, so there is nothing to self-host and no server code here — you connect to the endpoint below and authorize in your browser.
https://mcp.atlaso.ai/mcpClaude Desktop, Zed, Cline and other MCP clients have no memory of their own that reaches your coding tools. This hosted server gives any MCP client the same memory your coding tools share: decisions made in long chats, research and notes, preferences that should follow you. Memory works when the model calls the tools (remember, recall, forget); a skill can make that routine. Add https://mcp.atlaso.ai/mcp as a connector and sign in. Claude Desktop · Any MCP tool
Any MCP client that supports remote servers can connect. Add https://mcp.atlaso.ai/mcp as a connector and authorize in the browser when prompted.
Claude Desktop / claude.ai — Settings → Connectors → Add custom connector → paste the endpoint → Connect → authorize.
Cursor, VS Code, and other MCP clients — add it as a remote MCP server:
{
"mcpServers": { "atlaso": { "url": "https://mcp.atlaso.ai/mcp" } } }
Terminal-based tools (Claude Code, Codex, OpenCode, Antigravity) get a richer integration than MCP alone — automatic recall before each turn and automatic capture after, via hooks. One command sets all of them up:
curl -fsSL https://atlaso.ai/install.sh | bash # macOS / Linux
irm https://atlaso.ai/install.ps1 | iex # Windows
That installs the atlaso CLI, links the machine (creating your account if you don't have one), then asks which of your AI tools should share the memory.
| Tool | What it does |
|---|---|
recall(query, limit=5) | Search your memory for notes relevant to query. Returns a ranked list of {id, content}. Read-only. |
remember(text, polarity) | Save a durable note — a decision, preference, or gotcha. polarity is one of positive, open, cautionary, negative. Returns the new id. |
recent(limit=10) | List the most recent memories, newest first. Read-only. |
forget(id) | Permanently delete a memory by id. Destructive and not undoable. |
status() | Connection state, how many memories are stored and pending, and your memory health score. Read-only. |
Every recall carries a verdict on whether a memory is settled or contested, so the model isn't acting on shaky context.
Memories are either personal (they follow you everywhere) or project (scoped to the repository or workspace you were in). Both are recalled automatically in the right place — you don't manage scopes by hand.
Secrets are scrubbed before anything is stored. Data is encrypted in transit and at rest. Your memory is never used to train AI models and never sold. On the free plan it is never sent to any LLM at all. You can delete any single memory, or your whole account, at any time.
Free for one device and one tool. Pro is $10/month for unlimited devices and tools sharing one memory, plus Ambient Memory, background enrichment, Ask your memory, and JSON export. Build is $25/month and adds a developer memory API.
Listed in the official MCP Registry as io.github.imashishkh21/atlaso. The server.json in this repository is the published manifest.
Atlaso is a product of Atlaso Labs Inc. This repository is documentation for the hosted service; the service itself is not open source.