Web3 Research MCP
Enables deep research into cryptocurrency tokens by gathering data from multiple sources like CoinGecko and DeFiLlama to generate structured reports. It allows users to track research progress, fetch web content, and manage resources locally for comprehensive crypto analysis.
README
Web3 Research MCP
Deep Research for crypto - free & fully local 🧠
<a href="https://glama.ai/mcp/servers/@aaronjmars/web3-research-mcp"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@aaronjmars/web3-research-mcp/badge" alt="Web3 Research MCP server" /> </a>
🚀 Preview

🧠 Features
- Comprehensive Research: Gather detailed information about any cryptocurrency token
- Multi-Source Analysis: Research across multiple sources including CoinGecko, CoinMarketCap, DeFiLlama, and more
- Structured Reporting: Generate detailed reports covering technical fundamentals, market data, social sentiment, and more
- Resource Management: Automatically stores search results and content for reference
- Status Tracking: Track research progress through different stages and sections
📋 Requirements
- Node.js (v16 or higher)
🔧 Installation & Setup
Installing via Smithery
To install web3-research-mcp for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install web3-research-mcp --client claude
🔌 Using with Claude Desktop
Edit your Claude Desktop config file
- Windows: %APPDATA%\Claude\claude_desktop_config.json
- macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Add this to your Claude Desktop configuration file:
{
"mcpServers": {
"web3-research-mcp": {
"command": "npx",
"args": ["-y", "web3-research-mcp@latest"]
}
}
}
Then restart Claude Desktop
🔌 Using with Cursor
Go to: Settings -> Cursor Settings -> MCP -> Add new global MCP server Paste this into your Cursor ~/.cursor/mcp.json file. See Cursor MCP docs for more info.
{
"mcpServers": {
"web3-research-mcp": {
"command": "npx",
"args": ["-y", "web3-research-mcp@latest"]
}
}
}
Then restart Cursor
🛠️ Tools
create-research-plan
Creates a structured research plan for a token.
Parameters:
- tokenName: Full name of the token
- tokenTicker: Ticker symbol of the token
search
Performs a web search and returns the results.
Parameters:
- query: Search query
- searchType: Type of search (web, news, images, videos)
research-with-keywords
Searches for a token with specific keywords and saves the results.
Parameters:
- tokenName: Name of the token
- tokenTicker: Ticker symbol
- keywords: Array of keywords to search for
update-status
Updates the status of a research section.
Parameters:
- section: Section name to update (e.g., 'projectInfo', 'technicalFundamentals')
- status: New status for the section (planned, in_progress, completed)
fetch-content
Fetches content from a URL and saves it as a resource.
Parameters:
- url: URL to fetch content from
- format: Output format (text, html, markdown, json)
list-resources
Lists all available resources that have been saved.
search-source
Searches for information about a token from a specific source.
Parameters:
- tokenName: Name of the token
- tokenTicker: Ticker symbol
- source: Source to search (e.g., 'CoinGecko', 'DeFiLlama', 'News')
📝 Prompts
token-research
Initiates comprehensive research on a cryptocurrency token.
Parameters:
- tokenName: Full name of the cryptocurrency token
- tokenTicker: Ticker symbol of the token (e.g., BTC, ETH)
🧠 How It Works
- When research begins, a structured plan is created covering all aspects of the token
- The server performs searches across multiple sources for information
- Search results are stored as resources that can be referenced
- The research progresses through different sections, with status tracking
- A comprehensive report is generated covering all aspects of the token
⚠️ Limitations
- Some websites block web scraping, so direct content fetching may fail with 403 errors
- Relies on search results which may not always be comprehensive
- Rate limits may apply to search operations
📄 License
This project is licensed under the Apache License 2.0 - see the LICENSE file for details.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。