MCP.so
登录

NameDropped

@bu6r34p3r

代码仓库

关于 NameDropped

Monitor whether ChatGPT, Claude, and Perplexity recommend your product. Track AI visibility scores across LLMs, get actionable recommendations, and

#ai#seo#analytics#marketing#visibility#llm#monitoring

基本信息

分类

AI 与智能体

传输方式

stdio

发布者

bu6r34p3r

提交者

Phillip Elliott

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "namedropped": {
      "url": "https://namedropped.io/api/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR_API_KEY>"
      }
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is NameDropped?

Monitor whether ChatGPT, Claude, and Perplexity recommend your product. It tracks AI visibility scores across LLMs and provides actionable recommendations.

How to use NameDropped?

—

Key features of NameDropped

  • Monitor product mentions in ChatGPT, Claude, and Perplexity
  • Track AI visibility scores across large language models
  • Get actionable recommendations for improvement
  • Monitor competitor visibility as well

Use cases of NameDropped

  • Track how often your product is recommended by major AI chatbots
  • Benchmark your AI visibility against competitors
  • Identify opportunities to improve LLM recommendations

FAQ from NameDropped

—

评论

AI 与智能体 分类下的更多 MCP 服务器

Mcp Agent

lastmile-ai

Build effective agents using Model Context Protocol and simple workflow patterns

8.4K

Intervals.icu MCP Server

mvilanova

Model Context Protocol (MCP) server for connecting Claude and ChatGPT with the Intervals.icu API.

311

🔎 GPT Researcher

assafelovic

An autonomous agent that conducts deep research on any data using any LLM providers

28.1K

MCP-NixOS - Because Your AI Assistant Shouldn't Hallucinate About Packages

utensils

MCP-NixOS - Model Context Protocol Server for NixOS resources

739

欢迎来到 智言平台

Shy2593666979

AgentChat 是一个基于 LLM 的智能体交流平台，内置默认 Agent 并支持用户自定义 Agent。通过多轮对话和任务协作，Agent 可以理解并协助完成复杂任务。项目集成 LangChain、Function Call、MCP 协议、RAG、Memory、HITL、Skill、Milvus 和 ElasticSearch 等技术，实现高效的知识检索与工具调用，使用 FastAPI 构建高性能后端服务。

797