Crypto Whitepapers MCP Server
Structured crypto whitepaper knowledge base and search server for AI agents.
Key Features
Use Cases
README
Crypto Whitepapers MCP Server
An MCP server serving as a structured knowledge base of crypto whitepapers for AI agents to access, analyze, and learn from.
Features
- Search Whitepapers: Use DuckDuckGo to find whitepaper PDFs for cryptocurrency projects.
- Load Whitepapers: Download and index whitepaper PDFs into the knowledge base.
- Query Knowledge Base: Query whitepaper content with optional project filtering.
- List Projects: View all projects available in the knowledge base.
- Claude Desktop Integration: Access tools and prompts via MCP in Claude Desktop.
Prerequisites
- Python 3.10+
- uv for dependency management and running
- Internet access.
- Claude Desktop for MCP integration (optional)
Setup
-
Clone the Repository:
bashgit clone https://github.com/kukapay/crypto-whitepapers-mcp.git cd crypto-whitepapers-mcp -
Install Dependencies with uv:
bashuv sync -
Integrate with Claude Desktop (Optional):
- Edit the Claude Desktop configuration file:
- MacOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
- MacOS:
- Add the following configuration:
jsonReplace
{ "mcpServers": { "crypto-whitepapers": { "command": "uv", "args": [ "--directory", "/absolute/path/to/crypto-whitepapers-mcp" "run", "crypto-whitepapers-mcp" ] } } }/absolute/path/to/crypto-whitepapers-mcpwith the absolute path to the repository. - Restart Claude Desktop and verify the server is loaded (look for the hammer icon in the input box).
- Edit the Claude Desktop configuration file:
Usage
Tools
The following tools are available via the MCP server:
-
list_available_projects(): Lists all projects in the knowledge base (derived from PDF filenames).- Example:
list_available_projects() - Returns: JSON list of project names.
- Example:
-
search_whitepaper(project_name: str): Searches for a project's whitepaper PDF using DuckDuckGo.- Example:
search_whitepaper("bitcoin") - Returns: JSON list of up to 5 results with title, URL, and snippet.
- Example:
-
load_whitepaper(project_name: str, url: str): Downloads a whitepaper PDF from a URL and loads it into the knowledge base.- Example:
load_whitepaper("bitcoin", "https://bitcoin.org/bitcoin.pdf") - Returns: Success or error message.
- Example:
-
ask_whitepapers(query: str, project_name: str = None): Searches the knowledge base for a query, optionally filtered by project.- Example:
ask_whitepapers("blockchain technology", "bitcoin") - Returns: Up to 5 matching text snippets.
- Example:
Prompts
analyze_tokenomics(project_name: str): Analyzes tokenomics (distribution, supply, incentives) in a project's whitepaper using theask_whitepaperstool.- Example: In Claude Desktop, run "Analyze the tokenomics of Ethereum."
Examples
- List available projects:
List all available projects. - Search for a whitepaper:
Search for the Bitcoin whitepaper PDF. - Load a whitepaper:
Load the Bitcoin whitepaper from https://bitcoin.org/bitcoin.pdf. - Query the knowledge base:
Ask the knowledge base about blockchain technology in the Bitcoin whitepaper.
License
This project is licensed under the MIT License. See the LICENSE file for details.
Star History
Repository Owner
User
Repository Details
Programming Languages
Tags
Join Our Newsletter
Stay updated with the latest AI tools, news, and offers by subscribing to our weekly newsletter.
Related MCPs
Discover similar Model Context Protocol servers
MCP Server for Deep Research
Transform research questions into comprehensive, well-cited reports using an advanced research assistant.
MCP Server for Deep Research provides an end-to-end workflow for conducting in-depth research on complex topics. It elaborates on research questions, generates subquestions, integrates web search, analyzes and synthesizes retrieved content, and generates structured, well-cited research reports. The tool integrates with Claude Desktop and leverages prompt templates tailored for comprehensive research tasks.
- ⭐ 187
- MCP
- reading-plus-ai/mcp-server-deep-research
mcp-server-webcrawl
Advanced search and retrieval for web crawler data via MCP.
mcp-server-webcrawl provides an AI-oriented server that enables advanced filtering, analysis, and search over data from various web crawlers. Designed for seamless integration with large language models, it supports boolean search, filtering by resource types and HTTP status, and is compatible with popular crawling formats. It facilitates AI clients, such as Claude Desktop, with prompt routines and customizable workflows, making it easy to manage, query, and analyze archived web content. The tool supports integration with multiple crawler outputs and offers templates for automated routines.
- ⭐ 32
- MCP
- pragmar/mcp-server-webcrawl
Hive Intelligence MCP Server
Unified MCP server delivering advanced cryptocurrency and Web3 analytics.
Hive Intelligence MCP Server provides comprehensive cryptocurrency, DeFi, and Web3 analytics via the Model Context Protocol. It enables AI assistants to access and orchestrate over 200 specialized tools covering market data, on-chain analytics, portfolio tracking, and security analysis. The server offers both dynamic and category-specific analytics through a unified MCP interface, facilitating intelligent tool orchestration for diverse crypto data needs.
- ⭐ 7
- MCP
- hive-intel/hive-crypto-mcp
ArXiv MCP Server
Seamless AI access to arXiv papers via MCP interface
ArXiv MCP Server enables AI assistants to search, retrieve, and interact with research papers from arXiv using the Model Context Protocol. It provides programmatic access for paper search, download, reading, and management, supporting integration with MCP-compatible clients. The solution offers both installation via Smithery and manual setup, along with tools for efficient paper handling. Local storage ensures quick access to previously downloaded papers and relevant research prompts.
- ⭐ 1,863
- MCP
- blazickjp/arxiv-mcp-server
WebSearch-MCP
Real-time web search for AI assistants via Model Context Protocol.
WebSearch-MCP is a Model Context Protocol (MCP) server that enables real-time web search capabilities for AI assistants through the stdio transport. It connects with a web crawler API to retrieve up-to-date search results and serves these results to AI models like Claude. The solution offers straightforward configuration and seamless integration with various MCP clients, enhancing AI model access to current and relevant external information.
- ⭐ 19
- MCP
- mnhlt/WebSearch-MCP
NyxDocs
MCP server for real-time cryptocurrency project documentation and insights.
NyxDocs is a Model Context Protocol (MCP) compatible server built in Python for managing and serving up-to-date documentation for cryptocurrency projects. It aggregates information from multiple sources such as CoinGecko, GitHub, GitBook, Notion, and official websites, providing real-time data and updates on blockchain ecosystems. Featuring tools for searching projects, retrieving detailed info, extracting documentation, and monitoring changes, it is tailored for developers and AI contexts needing access to accurate crypto documentation. The architecture leverages a FastMCP-based server core, automated document scrapers, and supports multi-blockchain environments.
- ⭐ 3
- MCP
- nyxn-ai/NyxDocs
Didn't find tool you were looking for?