RivalSearchMCP

概述

RivalSearchMCP 是一个 FastMCP 3.x 服务器，提供 10 种专业工具，用于从多个来源进行综合研究。它完全免费（无需 API 密钥），提供确定性输出且服务器内不运行 LLM，还提供结构化输出以实现代理链式调用。该服务器集成了网页搜索、社交平台搜索、新闻聚合、学术研究、文档分析和冲突检测功能于一体，使其在信息收集任务中非常高效。

试试问 AI

装完之后，这里有 6 个你可以让 AI 做的事：

• web_search

  Concurrent multi-engine search across DuckDuckGo, Bing, Yahoo, Mojeek, and Wikipedia

  试试:Search for recent developments in quantum computing试试:Find information about climate change impacts
• social_search

  Search across 9 social platforms including Reddit, Hacker News, Stack Overflow, and Dev.to

  试试:What are people saying about the latest AI model releases?试试:Find discussions about Python frameworks
• news_aggregation

  Aggregate news from 5 sources with optional time-range filtering

  试试:Get tech news from this week试试:Find recent developments in renewable energy
• github_search

  Search GitHub repositories with built-in rate limiting

  试试:Find popular Python data science libraries试试:Search for React projects with TypeScript
• map_website

  Traverse a website in research, docs, or map mode with quality scoring

  试试:Map the documentation of the FastAPI framework试试:Analyze the structure of a news website
• content_operations

  Perform content retrieval, analysis, extraction, scoring, and conflict detection

  试试:Score these sources for reliability试试:Find conflicts between these two articles about climate policy
• research_topic

  Generate topic reports or entity profiles across multiple sources

  试试:Research the impact of remote work on productivity试试:Create a profile of Elon Musk's recent ventures
• document_analysis

  Extract text from PDFs, Word documents, and images with OCR

  试试:Analyze this research paper PDF试试:Extract text from this screenshot of a document
• scientific_research

  Search academic papers and datasets from multiple databases

  试试:Find recent papers on machine learning ethics试试:Search for datasets related to climate modeling
• research_memory

  Manage persistent research workspaces with session-based findings storage

  试试:Start a new research session on cryptocurrency trends试试:Add these findings to my current AI research session

可对比工具

安装

{
  "mcpServers": {
    "RivalSearchMCP": {
      "url": "https://RivalSearchMCP.fastmcp.app/mcp"
    }
  }
}

claude mcp add RivalSearchMCP --url https://RivalSearchMCP.fastmcp.app/mcp

# 克隆仓库
git clone https://github.com/damionrashford/RivalSearchMCP.git
cd RivalSearchMCP

# 安装到您的 MCP 客户端中:
fastmcp install claude-desktop server.py   # 对于 Claude Desktop
fastmcp install cursor server.py           # 对于 Cursor
fastmcp install claude-code server.py      # 对于 Claude Code

FAQ

RivalSearchMCP 真的免费吗？

是的！RivalSearchMCP 在 MIT 许可下 100% 免费和开源。没有 API 成本、订阅或速率限制。您可以使用托管服务器或本地运行它。

我需要 API 密钥吗？

不需要。RivalSearchMCP 完全不需要任何 API 密钥、身份验证或配置。只需添加 URL 即可立即使用所有 10 个工具。

RivalSearchMCP 对比