github not analyzable

MoltPe

github

not analyzable — source repository is gone (deleted or private)

AI-native payment infrastructure that gives AI agents isolated wallets with programmable spending policies for autonomous USDC stablecoin transactions. **11 MCP tools** for Claude Desktop, Cursor, and Windsurf: - check_balance, send_payment, list_transactions, agent_info - create_invoice, pay_invoice, check_invoice_status, list_invoices - call_x402_endpoint, call_mpp_endpoint, plus more **Tri-rail support:** x402 (HTTP-native micropayments), MPP (session-based streaming), and traditional fiat. Multi-chain USDC on Polygon PoS, Base, and Tempo with sub-second settlement. **Non-custodial wallets** with Shamir key splitting — your keys, never ours. **Programmable spending policies** (daily caps, per-transaction caps, recipient allowlists, cooldowns) enforced at the infrastructure level. Your agent literally cannot overspend regardless of prompt injection or buggy retry loops. **Free tier** — no credit card, no KYC, no geographic gating. - Site: https://moltpe.com - Open source reference: https://github.com/umangbuilds/moltpe-agent-payments (Apache 2.0) - India guide: https://moltpe.com/india - Developer quickstart: https://moltpe.com/blog/integrate-moltpe-in-5-minutes-developer-quickstart

maintainer
umg-gpt
license
first seen
2026-07-04
last seen
2026-07-16
releases · 30d
0
short id
risk insufficient evidence

Insufficient evidence to grade. This server's source has not been statically analyzed, so a low grade would only mean "nothing found", not "nothing there". We don't show a reassuring grade we can't stand behind. Attested signals (CVEs, provenance) below still apply.

Once the source is analyzed (see the analysis flag in the header), a graded score appears here. How analysis works: methodology.

graded 6m ago · see ecosystem CVEs →

capability exposure grade factor +6
Inferred surface — each links to servers holding it:
vulnerabilities 0 CVEs

No known CVEs for this server.

tool safety all quiet

No tool-safety findings — heuristic detectors run on the compute-risk cadence; a finding appears when a tool trips a rule.

embed badge readme-ready
live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/smithery:umg-gpt/moltpe/badge.svg)](https://mcpobservatory.com/servers/smithery:umg-gpt/moltpe/security)

Heuristic, inferred signals — false positives (legitimately powerful tools, forks, language ports) are expected. Treat each as "review this", not a verdict. See the ecosystem-wide picture on the security hub, or the fleet security of umg-gpt.