Web3 Research MCP

Web3 Research MCP

Deep, automated, and structured crypto research delivered locally.

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Web3 Research MCP enables detailed and comprehensive research into cryptocurrency tokens by automating data gathering, analysis, and reporting tasks. It integrates multiple data sources such as CoinGecko, CoinMarketCap, and DeFiLlama to create structured research plans, track research progress, and generate in-depth reports on token fundamentals, market data, and more. Optimized for local deployment, it can be used with platforms like Claude Desktop and Cursor to streamline the research workflow.

Key Features

Automated comprehensive research on cryptocurrency tokens
Multi-source data fetching (CoinGecko, CoinMarketCap, DeFiLlama, etc.)
Structured research plan generation
Progress tracking for research sections
Resource management and storage of search results
Custom commands and prompts for research tasks
Web, news, image, and video search capabilities
Direct integration with Claude Desktop and Cursor editors
Detailed report generation
Customizable parameters for research and search tools

Use Cases

Conducting deep research into new or existing cryptocurrency tokens
Aggregating market and fundamental data for investment analysis
Automating the generation of research reports on blockchain projects
Tracking and documenting the progress of crypto due diligence
Compiling resources and references for crypto educational content
Monitoring social sentiment and technical fundamentals of tokens
Integrating structured crypto analysis with local AI-powered tools
Performing multi-platform crypto research workflows
Managing resource collections for compliance and audit readiness
Streamlining competitive analysis in the crypto market

README

Web3 Research MCP

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Deep Research for crypto - free & fully local 🧠

🚀 Preview

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🧠 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:

bash
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:

json
{
  "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.

json
{
  "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

  1. When research begins, a structured plan is created covering all aspects of the token
  2. The server performs searches across multiple sources for information
  3. Search results are stored as resources that can be referenced
  4. The research progresses through different sections, with status tracking
  5. 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.

Star History

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Repository Owner

aaronjmars
aaronjmars

User

Repository Details

Language TypeScript
Default Branch main
Size 60 KB
Contributors 3
License Apache License 2.0
MCP Verified Nov 12, 2025

Programming Languages

TypeScript
97.16%
JavaScript
1.71%
Dockerfile
1.13%

Tags

Topics

mcp mcp-crypto mcp-server

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