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Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.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)
Non-custodial USDC wallet on Base with spending limits enforced in code, not in a prompt.
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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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"stipend": {
"command": "npx",
"args": [
"-y",
"stipend"
]
}
}
}Run this in your terminal
claude mcp add stipend -- npx -y stipendPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"stipend": {
"command": "npx",
"args": [
"-y",
"stipend"
]
}
}
}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": {
"stipend": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"stipend"
]
}
}
}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.
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Runs on your computer; the tool list appears in your AI app after you install it.
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 publisher (Graphiker-Australia) is not the repo owner (stipend-sh); someone else may have listed it
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 0 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 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).
The GitHub repo last changed –, and the latest version (0.45.4) reached the registry 3 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
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.
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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 non-custodial USDC wallet on Base that an AI agent installs by itself, with spending limits enforced below the instruction layer.
pip install eth-account && curl -sL stipend.sh/install | sh
This is the source of the package that installer fetches. It is published so that the claims made for it can be checked rather than believed.
It ships an MCP (Model Context Protocol) server — stipend mcp — exposing seven tools over stdio, so an agent can hold and spend money through the tool interface it already has. See MCP server below.
The failure that matters for an agent holding money is not a stolen key. It is a correctly signed transaction it was argued into.
Almost every defence against that lives in the instruction layer — a system prompt saying "do not send funds to unverified addresses." That is a suggestion to a model, sitting in the same context window as the text attacking it.
In here the limits are not advice. They are code that a transaction passes through on its way to being signed, and no wording in any context window reaches them.
Start at [`stipend/policy.py`](stipend/policy.py). It is about three hundred lines and it is the whole argument.
| control | what it does |
|---|---|
| per-transaction and daily caps | a ceiling that no instruction can raise |
| one-time approvals | authorise a single payment — bound to that recipient, that amount, expiring, single use — instead of raising a cap |
| new-destination confirmation | the first payment to any address you have never paid needs confirming, whatever the size |
The second is the one people get wrong. Raising a cap to afford one purchase weakens every future payment to everyone, which is precisely what an attacker asks for. Authorise the payment, not the capability.
The third is what stops a drain by many small payments that each sit under the threshold. An attacker's address is, by definition, one you have never paid.
And if you turn on an allowlist, it is absolute. Funds reach nothing else — not with a confirmation, not with an approval, not with any instruction from anywhere.
The wallet is also a Model Context Protocol (MCP) server, so an agent can use it through the tool interface it already has rather than by shelling out.
stipend mcp
It speaks JSON-RPC over stdin and stdout — the MCP stdio transport. Your MCP client spawns the process; nothing listens on a port and nothing is exposed to a network.
In a client's config that looks like:
{
"mcpServers": { "stipend": { "command": "stipend", "args": ["mcp"] } } }
| tool | what it does |
|---|---|
stipend_address | the wallet's address, so money can reach you whether or not you are running |
stipend_balance | USDC held, native currency held, spent today, and the daily limit |
stipend_check | would this payment be allowed? Answers without sending anything |
stipend_pay | send USDC, subject to every limit below |
stipend_earnings | read incoming payments off the network and record them |
stipend_report | earned against spent, by category, with runway in days |
stipend_recover | what is outstanding, and whose job each item is |
Every one of them goes through the same policy.check gate the command line uses, so the caps, the allowlist and the new-destination confirmation apply identically. There is no path here that moves money without them.
stipend_check exists so an agent can ask "would this be allowed?" before it offers to pay for something, turning a refusal into an answer rather than a failure.
No tool reads, exports or derives the private key. No tool changes a spending limit or the allowlist. No tool creates or overwrites a wallet.
An MCP tool is callable by a model that is reading untrusted text, and raising a cap is exactly what an attacker would ask for — so it is not on the menu at all. Configuration changes stay at the command line, where a human is present.
Every registry would prefer a URL, and we will not publish one. A hosted wallet server means the key lives on somebody else's machine — ours — and the whole claim of this package is that it does not. This runs beside the keystore, under the same user, and the key never moves.
No network, no funds, no wallet of yours touched:
python -m stipend selftest
219 checks covering address validation, amount arithmetic, every policy branch, the allowlist, the daily cap, destination trust and its expiry, keystore encryption, ERC-20 encoding, x402 requirement selection, EIP-3009 signing, the ledger, and exactly what telemetry would send.
Someone to break it.
If you can construct an injection that moves money past the checks in policy.py, open an issue. We would rather hear it from you than from someone who is not being polite about it.
Apache-2.0. See LICENSE.
Built by the Stipend dev team. FelixTrade.ai Pty Ltd, Australia.