官方说明7 个来源MCP 服务8 天前
hardeyhemy/revnuvo-dev
Revnuvo company intelligence
在 GitHub 查看 ↗直链 · 无中转页
配置模板（请按你的客户端调整）
claude mcp add revnuvo-dev -- npx -y revnuvo-dev
这是根据仓库名生成的可粘贴骨架，命令行参数与包名请以该项目 README 为准。
- ★ 数取值
- 0 ★ · hardeyhemy/revnuvo-dev · 取自该仓库的 GitHub 页面 · （2026-10-16 20:00:20 核对）
- 来源明细
- 收录自 punkpeye/awesome-mcp-servers 榜单（我们从中收集的条目之一） · 条目类型：MCP 服务
- 收录与活跃
- 收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
- 评分构成
- 综合分 703 · 7 个来源 · mcp
常见问题（答案都来自我们的记录）
怎么安装？
我们【没有】从该仓库取到安装命令（我们的 install 覆盖率只有约 4%）。请看它的 README 或 releases 页。
它适合谁 / 用来做什么？
我们把它归在这些标签下: MCP 服务。标签来自条目自身，不是我们强加的分类。
谁维护它、还在更新吗？
仓库
hardeyhemy/revnuvo-dev；我们收录于 2026-10-09；最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。第三方质量标记
Revnuvo Developer
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
**Give AI agents live intelligence about companies.**
Revnuvo observes company websites, technologies, DNS and infrastructure over time, detects meaningful changes, and exposes them as **evidence-backed, machine-readable intelligence** — via REST, MCP, and x402.
This repository contains everything a developer needs to go from **zero to first real query in under 5 minutes** — no sales call, no human in the loop.
| Surface | Where |
|---|---|
| REST API | https://intel.revnuvo.site/v1 — docs |
| MCP server (remote) | https://mcp.revnuvo.site/mcp — docs |
| MCP server (stdio bridge) | mcp/server.mjs — for stdio-only desktop clients; also runs via the included Dockerfile |
| JavaScript SDK | revnuvo on npm |
| Python SDK | revnuvo-intel on PyPI |
| Free API key | app.revnuvo.site — 100 calls/month, no credit card |
| Machine payments | x402 per call, $0.01 USDC on Base — docs |
Quickstart
Then ask your agent: **"What changed at stripe.com?"** — full walkthrough in QUICKSTART.md.
Examples (examples/ — every one is runnable)
| File | What it shows |
|---|---|
| 01-curl-quickstart.sh | Raw REST: whoami → technologies → signals |
| 02-node-monitor.mjs | Monitor a domain, poll for signals, print evidence |
| 03-python-signals.py | Python: prospect-scan for companies adopting a technology |
| 04-claude-desktop-config.json | One-paste Claude Desktop MCP config |
| 05-generic-mcp-client.mjs | Zero-dependency MCP client (JSON-RPC over HTTP) — works with ANY runtime |
| 06-openai-agents-example.mjs | OpenAI Agents SDK + Revnuvo MCP tools |
| 07-x402-agent.mjs | Machine-to-machine access: HTTP 402 → pay USDC on Base → intelligence |
The 9 canonical capabilities
Every response: deterministic schema, timestamped, confidence-aware, evidence-carrying. Revnuvo reports what was measured — **never purchase intent, never invented data**.
Positioning
> Revnuvo observes company websites, technologies, DNS and infrastructure over time, detects meaningful changes, and exposes those changes through APIs, MCP and machine-readable signals.
We do not claim predictive buying intent, complete internet coverage, or proprietary AI reasoning. Evidence is the product; your agent does the reasoning.
For AI agents
- llms.txt-style capability map: https://intel.revnuvo.site/llms.txt
- MCP tool descriptions are written for agent discovery — point your client at https://mcp.revnuvo.site/mcp with Authorization: Bearer
- No account? POST https://intel.revnuvo.site/v1/x402/company-state returns an HTTP 402 payment spec (x402 v1, USDC on Base) — pay and query
Revnuvo observes company websites, technologies, DNS and infrastructure over time, detects meaningful changes, and exposes them as **evidence-backed, machine-readable intelligence** — via REST, MCP, and x402.
This repository contains everything a developer needs to go from **zero to first real query in under 5 minutes** — no sales call, no human in the loop.
| Surface | Where |
|---|---|
| REST API | https://intel.revnuvo.site/v1 — docs |
| MCP server (remote) | https://mcp.revnuvo.site/mcp — docs |
| MCP server (stdio bridge) | mcp/server.mjs — for stdio-only desktop clients; also runs via the included Dockerfile |
| JavaScript SDK | revnuvo on npm |
| Python SDK | revnuvo-intel on PyPI |
| Free API key | app.revnuvo.site — 100 calls/month, no credit card |
| Machine payments | x402 per call, $0.01 USDC on Base — docs |
Quickstart
Then ask your agent: **"What changed at stripe.com?"** — full walkthrough in QUICKSTART.md.
Examples (examples/ — every one is runnable)
| File | What it shows |
|---|---|
| 01-curl-quickstart.sh | Raw REST: whoami → technologies → signals |
| 02-node-monitor.mjs | Monitor a domain, poll for signals, print evidence |
| 03-python-signals.py | Python: prospect-scan for companies adopting a technology |
| 04-claude-desktop-config.json | One-paste Claude Desktop MCP config |
| 05-generic-mcp-client.mjs | Zero-dependency MCP client (JSON-RPC over HTTP) — works with ANY runtime |
| 06-openai-agents-example.mjs | OpenAI Agents SDK + Revnuvo MCP tools |
| 07-x402-agent.mjs | Machine-to-machine access: HTTP 402 → pay USDC on Base → intelligence |
The 9 canonical capabilities
Every response: deterministic schema, timestamped, confidence-aware, evidence-carrying. Revnuvo reports what was measured — **never purchase intent, never invented data**.
Positioning
> Revnuvo observes company websites, technologies, DNS and infrastructure over time, detects meaningful changes, and exposes those changes through APIs, MCP and machine-readable signals.
We do not claim predictive buying intent, complete internet coverage, or proprietary AI reasoning. Evidence is the product; your agent does the reasoning.
For AI agents
- llms.txt-style capability map: https://intel.revnuvo.site/llms.txt
- MCP tool descriptions are written for agent discovery — point your client at https://mcp.revnuvo.site/mcp with Authorization: Bearer
- No account? POST https://intel.revnuvo.site/v1/x402/company-state returns an HTTP 402 payment spec (x402 v1, USDC on Base) — pay and query
- 来源
- awesome · https://github.com/hardeyhemy/revnuvo-dev
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