provenance-mcp

provenance-mcp

Checks wash-traffic risk of Algorand x402 endpoints using on-chain analysis, helping agents decide whether to pay USDC.

Category
访问服务器

README

provenance-mcp

Check the wash-traffic risk of Algorand x402 endpoints before your agent pays them.

Roughly half of x402 "agentic payment" activity is artificial — self-dealing loops, fresh-wallet farms, metronomic bots. Provenance reads the chain and tells your agent whether an endpoint's revenue is organic or fabricated, so it can decide before sending USDC.

Tools

  • check_endpoint_risk(address) — free quick verdict for any Algorand endpoint payTo address: risk level (low/medium/high/critical), 0–100 score, and the on-chain red flags (distinct-payer count, self-dealing payout loops, wallet ages, timing regularity, funding concentration).
  • provenance_service_info() — service + paid-tier info.

Deep forensics are x402-paid on the same API: /score $0.05 · /report $0.50 (full 8-signal grade + facilitator drift) · /diligence $5.00.

Install

Claude Code

claude mcp add provenance -- npx -y provenance-mcp

Claude Desktop / any MCP client (mcpServers config):

{
  "mcpServers": {
    "provenance": {
      "command": "npx",
      "args": ["-y", "provenance-mcp"]
    }
  }
}

Then ask your agent: “check the wash risk of Algorand endpoint <ADDRESS>”.

How it works

The hosted Provenance engine indexes USDC (ASA 31566704) payments on Algorand mainnet, enriches payer wallets (age, first funder, asset diversity, rekey auth-addr), clusters them (union-find over funding + shared-key links), and runs 8 wash-detection signals. Scores are point-in-time snapshots, anchored on-chain for tamper-evidence. Methodology: signals, not accusations — a high score means the revenue pattern is consistent with self-dealing, not that the operator is guilty of anything.

  • Env: PROVENANCE_API_URL to point at a different Provenance deployment.
  • Free tier: 30 checks/hour/IP.

Guard your x402 client directly

Building an agent that pays over x402? provenance-guard wraps any x402-paying fetch and runs this same check automatically before any money moves — one line, zero dependencies:

import { createGuard } from "provenance-guard";
const guarded = createGuard().guardedFetch(fetchWithPayment);

MIT · Provenance — the trust layer for machine-payable endpoints.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选