Bizintel

io.github.bch1212由 GitHub 账号 bch1212 发布v0.1.0更新于 Oct 24, 2026

Local business intel for AI agents: audits, lead scoring, tech stack, prospecting.

已验证Streamable HTTP可网页运行网页搜索与抓取商业与电商

概览

AI 生成的概览

远程 MCP 服务器,面向本地商家拓客:审计网站、给线索打分、识别技术栈,并按行业和城市查找商家。

可以做什么
审计单个网站或批量 URL 的 SSL、移动适配、速度、联系表单和在线预约情况,按最差优先排序便于挑选线索,并识别目标网址上的 CMS、预约、邮件和分析工具。按行业和城市搜索本地商家,获取单个商家的电话、地址、网站、营业时间和评分,并结合审计与需求信号给出 0-100 线索评分。找出没有网站或没有在线预约系统的商家,作为冷启动外呼和 SaaS 推销名单。
适用场景
适合销售外呼、拓客和竞品调研场景:助手需要按质量排序的本地商家名单、可联系的详细信息以及快速的网站质量信号,而不必人工收集。
运行要求
远程 streamable HTTP 端点,无需本地安装。需要在 X-API-Key 请求头中提供 API 密钥。免费开发密钥每 24 小时限 20 次调用;另有付费 Pro 和按次计费方案。商家搜索在配置后使用 Yelp,否则回退到 OSM。
安装前请注意
超出免费额度后需付费或按次计费。API 密钥属于凭据,应避免出现在共享日志中。审计会抓取目标网址,商家数据来自第三方来源(Yelp、OSM),结果可能不完整或覆盖不均。调用按密钥在持久化账本中计量。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Bizintel,将其添加到工作区。
  2. 连接 X-API-Key 凭据。它们会被私密存储,绝不会在公开页面上展示。
  3. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/io.github.bch1212%2Fbizintel/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "bizintel": {
      "type": "http",
      "url": "https://mcp-bizintel-production.up.railway.app/mcp",
      "headers": {
        "X-API-Key": "<YOUR_API_KEY>"
      }
    }
  }
}

README

BizIntel MCP — Local Business Intelligence for AI Agents

Real-time website audits, lead scoring, tech-stack detection, and local-business search — exposed as an MCP server. Built for AI agents doing sales outreach, competitor research, and prospecting at scale.


MCPize Listing Copy

Title: BizIntel MCP — Real-Time Local Business Intelligence

Subtitle: Audit any website, score leads, find businesses with no booking system. Pay per call.

Description (2 paragraphs):

BizIntel is a paid MCP server that gives AI agents instant access to the kind of local-business intelligence sales teams used to pay analysts to gather. One call to audit_website returns a 0-100 score across SSL, mobile-readiness, page speed, contact form presence, and online booking — plus a tech-stack fingerprint (CMS, booking platform, email provider, analytics). Agents pointed at "find dentists in Austin with no booking system" get a ranked, contactable list in seconds, not hours.

The MCP exposes eight tools — audit_website, bulk_audit, search_businesses, get_business_details, score_lead, find_no_website, find_no_booking, get_tech_stack — backed by Yelp Fusion (or OSM/Overpass when no Yelp key is provided), an aiohttp scanner running 10 concurrent fetches, and a 24-hour SQLite cache so repeat calls don't burn quota. Drop it into Claude Desktop, Cursor, or any agent and your prospecting pipeline becomes one tool call wide.


Pricing

TierPriceLimits
Free / Dev$020 calls / 24h
Pro$19/moUnlimited
Pay-as-you-go$0.05/callNo floor

Upgrade: https://mcpize.com/bizintel-mcp


Tools

ToolArgsReturns
audit_websiteurlScore 0-100, SSL, HTTPS redirect, viewport, load_time_ms, contact form, booking, tech_stack
search_businessesniche, city, state, limitList of normalized business records
get_business_detailsbusiness_name, cityFull record: phone, address, website, hours, rating, lat/lon
bulk_auditurls (≤20)Audit results sorted worst→best (best leads first)
score_leadbusiness_name, city, nicheComposite 0-100 lead score with breakdown
find_no_websiteniche, city, state, limitHottest cold-outreach leads — ranked
find_no_bookingniche, city, state, limitHave a site, no online booking — SaaS-pitch ready
get_tech_stackurlCMS / booking / email / analytics fingerprint

Quickstart

Add to Claude Desktop / Claude Code

bash
claude mcp add bizintel-mcp --url https://mcp-bizintel.up.railway.app/mcp

Set your API key in the MCP config (header X-API-Key). The default dev key bizintel-dev-key-001 is good for 20 calls per day.

Direct HTTP

bash
curl -X POST https://mcp-bizintel.up.railway.app/v1/find_no_booking \  -H "X-API-Key: bizintel-dev-key-001" \  -H "Content-Type: application/json" \  -d '{"niche":"dentist","city":"Austin","state":"TX","limit":10}'

Example agent prompt

Find dentists in Austin with no booking system, audit the top 5, and write a one-line cold-email opener for each that references their actual tech stack.


Local Dev

bash
pip install -r requirements.txtcp .env.example .env  # fill in YELP_API_KEY (optional)python -m uvicorn server:app --reload --port 8000pytest -v

Without a Yelp key, search/details fall back to OSM (Nominatim + Overpass). Coverage is sparser but free.


Deploy

bash deploy.sh from Brett's Mac — pulls secrets from the shared workspace .deploy-secrets.env, links/initializes the Railway project, sets env vars, and runs railway up. Pre-deploy pytest is part of the script so you can't ship a broken build.


Architecture

server.py                FastAPI + fastmcp; HTTP at /v1/* and MCP at /mcptools/audit.py           Async aiohttp auditor (10 concurrent, 5s timeout)tools/techstack.py       CMS / booking / email / analytics fingerprintstools/search.py          Yelp Fusion primary, OSM Overpass fallbacktools/scoring.py         Composite lead score (0-100)db/cache.py              SQLite cache + per-key call ledgerdb/keys.py               Tier classification + 24h sliding windownixpacks.toml            Railway build config

Caching: audits cached 6h, business details 24h, search results 12h. The cache is a single SQLite file with WAL mode — no Redis needed for the price point.


Known Limitations

  1. Yelp doesn't expose external website URL in /businesses/search. We return yelp_url as a stable handle; for a real domain, agents should chain get_business_details (returns hours/photos) and follow the Yelp page or use find_no_website (where OSM-tagged sites are surfaced).
  2. OSM coverage is uneven — some niches map cleanly (dentist, restaurant); long-tail US small business categories (pickleball coach, yacht detailer) won't resolve.
  3. No headless rendering — JS-heavy sites that gate content behind hydration won't expose contact/booking signals to the audit. This is intentional; we trade completeness for 5-second batched audits.
  4. Tech-stack detection is signature-based, not Wappalyzer-grade. We catch the common 90% (WP, Wix, Shopify, Squarespace, Calendly, Mindbody, GA4, Klaviyo) — not obscure custom stacks.
  5. Rate-limit window is sliding 24h, stored per-API-key in SQLite. Restart the container and the ledger persists; clear the DB to reset all dev quotas.

License

Proprietary — © 2026.

来源:README.md,提交 d0617a6

工具

8

audit_website

Score a website 0-100 across SSL, mobile-readiness, speed, contact, booking.

输入参数url必填

search_businesses

Find local businesses by niche + city. Yelp-backed; OSM fallback if Yelp not configured.

输入参数city必填limitniche必填state

get_business_details

Resolve a single business to phone, address, website, hours, rating.

输入参数city必填business_name必填

bulk_audit

Audit up to 20 URLs concurrently. Results sorted worst-first (best leads first).

输入参数urls必填

score_lead

Composite 0-100 lead score combining audit + demand signal.

输入参数city必填nichebusiness_name必填

find_no_website

Find businesses in a niche with NO website at all — hottest cold-outreach leads.

输入参数city必填limitniche必填state

find_no_booking

Businesses with a website but no online booking system. Big opportunity for SaaS pitches.

输入参数city必填limitniche必填state

get_tech_stack

CMS, booking platform, email provider, analytics detected on a target URL.

输入参数url必填

版本历史

1
  1. v0.1.0最新Sep 16, 2026

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