Agent-Native Calendar
Agent-Native Google Calendar - manage events, sync, and public booking
Description from the maker (original English)
Tests an AI agent's purchase against the task it was given. Paid per call in USDC via x402.
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Works in Claude on the web, desktop and mobile:
https://api.safe4.ai/mcp/Run this in your terminal
claude mcp add --transport http safe4 https://api.safe4.ai/mcp/Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"safe4": {
"url": "https://api.safe4.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": {
"safe4": {
"type": "http",
"url": "https://api.safe4.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://api.safe4.ai/mcp/Menu names can differ slightly by plan and over time.
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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.
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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 2 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: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel
Servers in the same category from other makers, sorted by stars.
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Agent-Native Google Calendar - manage events, sync, and public booking
Lets AI create and edit Excel files itself, including formulas, charts and PivotTables, without Excel installed.
Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.
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Safe4 decides whether an AI agent's proposed payment should be allowed, by testing the purchase against the task the agent was actually given.
The case it exists for is the one budget limits miss: a payment that is inside every budget, in an allowed category, and to an approved counterparty — and is still the wrong purchase, because it does not serve the task.
This repository is the public manifest and client example for the hosted MCP server. The service itself runs at api.safe4.ai; there is no server to install.
Streamable HTTP, no installation:
{
"mcpServers": { "safe4": { "type": "http", "url": "https://api.safe4.ai/mcp/" } } }
Connecting and listing tools are free. Only safe4_authorize is paid.
safe4_price — freeReturns the current price and the payment networks the endpoint accepts, so an agent can see the cost before committing to a paid call.
safe4_authorize — paid, settled per call in USDC over x402Returns an ALLOW or DENY decision for a proposed payment, with a reason code, the concepts it matched, and a hash-chained audit entry.
Called without a payment it returns the x402 challenge instead of a decision. An x402-aware client pays and calls again with the resulting payload in the payment argument.
Arguments:
| Argument | Meaning |
|---|---|
task | The task the agent was given, as stated by its principal |
purchase | What is being bought |
purchase_purpose | Why this purchase serves the task |
amount, currency | The proposed payment |
counterparty | Who would receive it |
service_category | Category of the thing being bought |
allowed_service_categories | Categories the principal permits |
allowed_counterparties | Optional. Payees the principal permits |
task_id | Optional. Echoed into the audit entry |
payment | An x402 payment payload. Omit to receive the price list |
The task and the two allow-lists are the principal's constraints, not the agent's — they are what the purchase is tested against, so an agent that writes its own task is grading its own homework. Safe4 records every field it was given and marks the task context as request-supplied, so a substituted constraint is visible in the audit entry afterwards.
The example runs the entire free surface — connect, list tools, read the price, fetch the challenge — and stops before signing anything. It needs only httpx: no key, no funded wallet.
python examples/mcp_buyer_demo.py https://api.safe4.ai --dry-run
Drop --dry-run and set SAFE4_BUYER_PRIVATE_KEY to buy a real decision. That signs an EIP-3009 authorisation for exactly the amount and payee the server advertised, and nothing else; the script holds no custody and Safe4 never sees the key.
Four checks, in order, and a purchase must clear all of them:
allowed_counterparties, payment to anyone else is refused. This is the only check that sees a swapped payee; task text and category are identical in that attack.Every decision is appended to a hash-chained audit log. Each entry carries the previous entry's hash, so the record is tamper-evident and continuous across restarts and redeploys.
Priced per call in USDC over x402. The endpoint advertises its terms in the 402 challenge; buyers pay on whichever advertised network suits them. Safe4 holds no wallet key and takes no custody of buyer funds.
Reporting instructions are in SECURITY.md. Please do not open a public issue containing exploit details.
The manifest and client examples in this repository are MIT licensed. The hosted service they describe is a separate commercial product.