OAuth 2.0 for AI agents — scoped delegation tokens, audit trails, and revocation.
{
"mcpServers": {
"io-github-mishrasanjeev-grantex": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
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OAuth 2.0 for AI agents — scoped delegation tokens, audit trails, and revocation.
Is it safe?
No package registry to scan.
No authentication — any process on your machine can connect.
License not specified.
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Commit history unknown.
Will it work with my client?
Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
No automated test available for this server. Check the GitHub README for setup instructions.
No known vulnerabilities.
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What OAuth 2.0 is to humans, Grantex is to agents.
Docs | Playground | Spec | Dashboard | IETF Draft
grantex.dev/registrygrantex verify: Token inspection CLI — no account needednpm install @grantex/sdk
import { Grantex, verifyGrantToken } from '@grantex/sdk';
const gx = new Grantex({ apiKey: process.env.GRANTEX_API_KEY });
// 1. Authorize an agent for a user
const auth = await gx.authorize({ agentId: 'agent-123', userId: 'user-456', scopes: ['calendar:read', 'email:send'] });
// 2. Exchange code for a scoped, signed JWT
const { grantToken } = await gx.tokens.exchange({ code: auth.code, agentId: 'agent-123' });
// 3. Verify anywhere — offline, no callback needed
const grant = await verifyGrantToken(grantToken, { jwksUri: 'https://api.grantex.dev/.well-known/jwks.json' });
console.log(grant.scopes); // ['calendar:read', 'email:send']
pip install grantex # Python
go get github.com/mishrasanjeev/grantex-go # Go
npm install -g @grantex/cli # CLI
28 packages across TypeScript, Python, and Go. Integrations for Anthropic SDK, LangChain, OpenAI Agents SDK, Google ADK, CrewAI, Vercel AI, AutoGen, MCP, Express.js, FastAPI, and Terraform. 3,604 tests (100% pass rate). Fully self-hostable. Apache 2.0.