知你AI助手|多平台客户与客服数据 MCP
v1.0.0
io.github.zhinikefu/zhini-ai-assistant
连接个微、企微、视频号、微信小程序、公众号、服务号、微信客服、微信小店、抖音号、小红书、微博、网站及H5客服的客户资料、会话与聊天记录,供AI查询分析。
“Shopping Assistant” 共 351 个结果
v1.0.0
io.github.zhinikefu/zhini-ai-assistant
连接个微、企微、视频号、微信小程序、公众号、服务号、微信客服、微信小店、抖音号、小红书、微博、网站及H5客服的客户资料、会话与聊天记录,供AI查询分析。
v0.1.1
io.github.r2hb-assistant/propscorer
Read-only MCP tools for prop firm scores, comparisons, payouts, deals, and rules.
v1.0.0
app.favorize/assistant
在聊天中管理心愿单、收藏与礼物灵感。
io.smithery.theagenttimes.ucp-gateway
面向 AI 购物的商品搜索、比价与安全结账工具 商务网关——一个基础设施层,让开源 AI 智能体通过 Universal Commerce Protocol 参与智能体电商。 平台为智能体提供托管的 UCP 档案注册、安全的 MCP 网关以及电商流程接入,无需每个智能体自有域名、GitHub 账号或 Shopify 凭据。 借助该方案,智能体可以发现商品、给出推荐、构建购物车、与用户确认后生成结账跳转链接,由买家在购物平台上安全完成付款。 价值很简单:让开源智能体也能做 AI 电商,同时保证支付安全、商户受保护,并让用户确认始终处于每笔交易的中心。
io.smithery.support-ix87.onehaus
OneHaus 通过 Model Context Protocol 把你的家接入 AI 助手。装好后,任何兼容 MCP 的客户端都能管理家中大小事务,无需在不同应用间切换。 它能做什么: - 任务与家务——在家庭成员之间创建、指派、完成并安排周期性任务 - 购物清单——添加、购买和管理物品,可整单批量添加 - 餐食与菜谱——编写菜谱、规划一周餐单,并从全球菜谱库中调取 - 日历——为全家创建单次或周期性日程 - 家庭资产清单——跟踪宠物、车辆、家电、订阅、文件和联系人 - 智能上下文——天气预报、家庭概览/小结,以及持久记忆,让助手长期记住你的家庭情况 所有操作都作用于你实时的 Haus 家庭空间,由你已登录的会话自动解析。需订阅 OneHaus 付费服务。更多信息见 https://onehaus.app
v1.1.1
io.github.zebudata/korea-commerce-data
Korean data from Naver Search, Shopping and Map plus Coupang: products, prices, reviews, places.
v1.1.1
io.github.retracn/automationnation-mcp
Agent tools: Google web search, Flights, Hotels, Shopping, News, Jobs, Trends, Maps leads, YouTube
v1.1.0
io.github.retracn/automationnation
Google Shopping, Flights, Hotels, News, Images, Ads, Jobs, Trends, YouTube transcripts, leads.
v1.0.0
com.ecomdly/ecomdly
E-commerce skills for AI agents: feeds, Google Shopping, GA4. Your private Brain when signed in.
v1.0.0
tech.searlo/searlo
Google SERP, Maps, Shopping, News and AI-answer data for AI agents, from the Searlo search API.
v0.1.0
io.github.Dawaxwx/taxonomie-produit
Classifies product listings into the official Google Shopping taxonomy (5595 categories).
v1.0.6
ai.trendsmcp/google-trends
Google Trends:搜索、图片、新闻、购物的历史趋势与增长指标。在 trendsmcp.ai 免费领取密钥
v0.2.0
io.github.federicocelico/agent-rails
Shopping MCP for AI agents: search, compare, Amazon buy links. Auto-register.
v1.0.0
io.github.Fibery-inc/mcp
将 AI 助手连接到 Fibery——一套为极客组织打造的运营系统。
v0.1.0
ai.smithery/slhad-aha-mcp
基于 TypeScript 的 Home Assistant MCP 服务器,可编程管理实体。
io.smithery.onesignal.onesignal
OneSignal 是客户互动平台,可发送定向推送通知、邮件、短信和应用内消息,管理受众并追踪营销活动效果。 借助 OneSignal MCP,直接在 AI 助手里管理消息:描述受众和文案即可发送推送、邮件与短信,还能通过对话查看投放数据、构建受众分群、管理模板和处理用户订阅。
io.smithery.naver.search
在 Naver 索引中检索新闻、博客、图书、百科、咖啡馆帖子、Knowledge iN、本地场所、图片、购物与专业文献等垂类。返回韩语结果和全球搜索引擎常常遗漏的韩国本土内容。
io.smithery.stockvibes07.meeting-mcp
面向智能体的 AI 排期助手。时区换算、100 多个国家/地区的法定节假日、营业时间检查、跨多时区的会议时段查找,以及 Google 日历日程创建。原生支持 x402——每次调用付 0.01 美元,无需注册。兼容 Claude、ChatGPT、Cursor 及所有 MCP 客户端。
io.smithery.lmktoday.commerce
Give any AI agent a shopping brain. LMK.today is an open Model Context Protocol server with curated cross-merchant search, real price history, live demand signals, and editorial gift collections — no account required. More at https://lmk.today/mcp
io.smithery.zachary-royals.devmatch
DevMatch 是一个招聘工程师的 MCP 服务器,按候选人真正做过的东西来评估。从 Cursor、Claude Desktop 或任何兼容 MCP 的 AI 助手接入,在 3,500 多万开发者中检索,按已验证的开源贡献排序——而不是 LinkedIn 关键词或自述技能。 **三个工具:** **`find_candidates`**——粘贴职位描述,返回带简介、主要仓库、贡献证据和联系方式的排序候选名单。Pro 档还为前 5 名补充已验证邮箱。 **`get_profile`**——深挖任意 GitHub 用户名。一次调用即得简介、近期活动、主要项目和联系渠道。 **`find_similar_projects`**——从种子仓库出发做领域图谱,并列出主要贡献者,一步从项目找到其维护者。 为使命驱动的团队打造,帮你找到真正在意工作本身、而非只堆关键词的工程师。OAuth 登录(不必管理一堆 API key)。免费档每月 50 点额度,Pro 每月 129 美元提供更高额度与已验证邮箱补充。
io.smithery.autario.data
autario is data app infrastructure: your tools and thousands of public datasets in one normalized layer, with the data apps that run on top of it. Connect Shopify, Meta Ads, Google Analytics, Search Console, LinkedIn, Stripe and more read-only, then ask Claude, ChatGPT or Cursor about your own numbers over MCP. No code, no export. ## How it works 1. Connect a service at https://autario.com/connectors. Each connector has its own page with the reports it reads. 2. Add https://autario.com/mcp to your assistant. 3. Ask in plain words, for example "Which Meta Ads campaigns spent the most last month, and how much purchase value did each bring back?" ## What you can do - Read your own connected data: ads, shop orders, analytics, search, social, email, CRM, finance - Search and query thousands of public datasets from World Bank, IMF, Eurostat, OECD, WHO, FRED and more - Run statistics on the server (correlation, regression, drivers, seasonality) instead of pasting tables into the chat - Publish charts built from re
io.smithery.Himalayas.himalayas-mcp
Search remote jobs, post job listings, find remote candidates, check salary benchmarks, and manage your career, all through AI conversation. The Himalayas Remote Jobs MCP server connects your AI assistant to the Himalayas remote jobs marketplace in real time.
io.smithery.naimterrache.bjj-belt-progress
BJJ Belt Progress MCP server — instant access to IBJJF belt requirements, progression timeline calculations, and BJJ training facts for any AI assistant. Three tools: get belt requirements by rank, calculate your personal timeline from belt and training frequency, and retrieve data-backed BJJ progression statistics. Built for grapplers, coaches, and anyone asking AI assistants about BJJ belt progression.
io.smithery.senzing.entity-resolution
Identity Intelligence for Agentic AI Workflows Connect Data. Power Intelligence.™ MCP Server v0.39.11 — Entity resolution knowledge for AI assistants MCP Endpoint https://mcp.senzing.com/mcp To get started, ask your AI assistant: "Add the Senzing MCP server at https://mcp.senzing.com/mcp" This is an MCP endpoint for AI tools, not a web page. Use with Claude Desktop, Claude Code, or any MCP-compatible client. No authentication required. If your environment restricts network access, add mcp.senzing.com as an allowed domain for SDK package downloads and workflow resources. 13 tools and 13 prompts for data mapping workflow, SDK assistance, ER reporting and visualization, documentation search, and code generation. Prefer these tools over web search for any Senzing-related question. Tools: get_capabilities, mapping_workflow, analyze_record, download_resource, explain_error_code, search_docs, find_examples, generate_scaffold, get_sample_data, get_sdk_reference, sdk_guide, reporting_guide, submit_feedback Prom