ai — security grade SAFE, quality 65/100

Security audit verdict: SAFE · quality 65/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by stripe · MCP Server · ★ 1.8k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is ai safe to install? View the security audit →

About ai

Stripe AI This repo is the one-stop shop for building AI-powered products and businesses on top of Stripe. It contains a collection of SDKs to help you integrate Stripe with LLMs and agent frameworks, including: - for integrating Stripe APIs with popular agent frameworks through function calling—available in Python and TypeScript. - for integrating Stripe's billing infrastructure with Vercel's and libraries. - for integrating Stripe's billing infrastructure with native SDKs from OpenAI, Anthropic, and Google Gemini, without any framework dependencies. Model Context Protocol (MCP) Stripe hosts a remote MCP server at . This allows secure MCP client access via OAuth. View the docs here. The Stripe Agent Toolkit also exposes tools in the Model Context Protocol (MCP) format. Or, to run a local Stripe MCP server using npx, use the following command: Tool permissions are controlled by your Restricted API Key (RAK). Create a RAK with the desired permissions at https://dashboard.stripe.com/apikeys See [MCP](/tools/modelcontextprotoco

aigemini-cli-extensionllmllm-agentsmcppythontypescriptworkflows

Quick Facts

Stars1,829
Forks347
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score64.5239995617354/100
Open Issues90
Last Updated2026-09-23
Created2024-11-11
Platformscli, gemini, mcp, node
Est. Tokens~15k

ai alternative? Top 6 similar tools

Looking for a ai alternative? If you're comparing ai with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • studio by decocms · ⭐ 409

    Open-source control plane for your AI agents. Connect tools, hire agents, track every token and dollar

  • mcp-agent by lastmile-ai · ⭐ 8.5k

    Build effective agents using Model Context Protocol and simple workflow patterns

  • code-graph-rag by vitali87 · ⭐ 5.2k

    The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI

  • mcp-context-forge by IBM · ⭐ 4.5k

    An AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified e

  • npcpy by NPC-Worldwide · ⭐ 1.5k

    The python library for research and development in NLP, multimodal LLMs, Agents, ML, Knowledge Graphs, and mor

  • agents by inkeep · ⭐ 1.4k

    Create AI Agents in a No-Code Visual Builder or TypeScript SDK with full 2-way sync. For shipping AI assistant

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Frequently Asked Questions

What is ai?

ai is One-stop shop for building AI-powered products and businesses with Stripe.. It is categorized as a MCP Server with 1.8k GitHub stars.

What programming language is ai written in?

ai is primarily written in TypeScript. It covers topics such as ai, gemini-cli-extension, llm.

How do I install or use ai?

You can find installation instructions and usage details in the ai GitHub repository at github.com/stripe/ai. The project has 1.8k stars and 347 forks, indicating an active community.

What license does ai use?

ai is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to ai?

The top alternatives to ai on Agent Skills Hub include studio, mcp-agent, code-graph-rag. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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