Grantex runs on your own machine — the client starts it, so there is no endpoint to ping. 97 installs a week from npm. Last commit 15 Sep 2026.
OAuth 2.0 for AI agents — scoped delegation tokens, audit trails, and revocation.
We read the source, 20 h ago · rules 3dff92dd89df
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
await redis.eval(SAFE_DECR_SCRIPT, 1, key);
return yaml.load(raw, Loader=_UniqueKeyLoader) # nosec B506 - SafeLoader subclass
el.innerHTML = html;
const files = fs.readdirSync(dirPath).filter((f: string) => f.endsWith('.json'));
Found in continuous integration, deployment or infrastructure files, or in a neighbouring package of the same monorepo. None of this is installed when you add the server: it describes how the project is built and released. We list it because a leaked key in a build pipeline is still a real problem, but it is not something this server does on your machine.
- name: Create or update monitoring issue
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add grantex -- npx -y @grantex/mcp
{
"mcpServers": {
"grantex": {
"args": [
"-y",
"@grantex/mcp"
],
"command": "npx"
}
}
}
[mcp_servers.grantex]
command = "npx"
args = ["-y", "@grantex/mcp"]
{
"mcpServers": {
"grantex": {
"args": [
"-y",
"@grantex/mcp"
],
"command": "npx"
}
}
}
{
"mcpServers": {
"grantex": {
"args": [
"-y",
"@grantex/mcp"
],
"command": "npx"
}
}
}
This one needs environment variables set before it will start:
GRANTEX_API_KEY (Your Grantex API key).
The author declared them in the registry entry; get the values from the project itself.
OAuth 2.1 short-link tools for AI agents with scoped tokens, approvals, audit logs, and revocation.
Identity and auth for AI agents: credentials, tokens, delegations, and permission checks.
Identity, authorization, audit trails, and revocable permissions for AI agents accessing MCP tools.
MCP adapter for Agent_Sudo: authorization, delegation, provenance, and audit for AI agents.
Permission gateway for AI agents: scoped MCP endpoints over 27 services, audited and revocable.
Keep credentials out of AI coding agents with local approvals, scoped injection, and audit trails.
Let AI agents query and operate business systems with authorization, approval and audit trails.
Security tools for AI agents: scan MCP servers, validate HDP delegation chains, audit releases.
Answers built from our own checks of this server.