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Crypto Whitepapers MCP Server

@kukapay

Repository

Basic information

Category

Finance & Commerce

License

MIT

Transports

stdio

Author

kukapay

About Crypto Whitepapers MCP Server

An MCP server serving as a structured knowledge base of crypto whitepapers.

Crypto Whitepapers MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "crypto-whitepapers-mcp": {
      "command": "uv",
      "args": [
        "sync"
      ]
    }
  }
}

Crypto Whitepapers MCP Server tools

8

`list_available_projects()`

JSON list of project names.

`search_whitepaper("bitcoin")`

JSON list of up to 5 results with title, URL, and snippet.

`load_whitepaper("bitcoin", "https://bitcoin.org/bitcoin.pdf")`

Success or error message.

`ask_whitepapers("blockchain technology", "bitcoin")`

Up to 5 matching text snippets.

Overview

What is Crypto Whitepapers MCP Server?

A structured knowledge base of cryptocurrency whitepapers, exposed as an MCP server so AI agents can access, analyze, and learn from the content. It is intended for developers and researchers using AI for crypto analysis.

How to use Crypto Whitepapers MCP Server?

Clone the repository and run uv sync to install dependencies. Optionally integrate with Claude Desktop by editing its config file to point to the server. Once running, the server exposes tools like list_available_projects(), search_whitepaper(), load_whitepaper(), and ask_whitepapers().

Key features of Crypto Whitepapers MCP Server

  • Search for whitepaper PDFs using DuckDuckGo.
  • Download and index whitepaper PDFs into the knowledge base.
  • Query indexed whitepapers, optionally filtered by project.
  • List all projects currently in the knowledge base.
  • Integrates directly with Claude Desktop via MCP.

Use cases of Crypto Whitepapers MCP Server

  • Quickly search for and load a cryptocurrency whitepaper by name.
  • Ask natural‑language questions about the content of loaded whitepapers.
  • Compare tokenomics across projects using the analyze_tokenomics prompt.
  • Build AI‑powered research assistants that retrieve and analyze whitepapers.
  • Automate the ingestion of new whitepapers for a growing knowledge base.

Frequently asked questions

1

What are the prerequisites?

Python 3.10 or higher, the `uv` package manager, and an internet connection. Claude Desktop is optional but recommended for interactive use.

2

How do I integrate with Claude Desktop?

Edit the Claude Desktop configuration file (`claude_desktop_config.json`) and add an entry pointing to the server with the `uv` command and the absolute path to the repository.

3

What tools are available?

Four tools: `list_available_projects()`, `search_whitepaper(project_name)`, `load_whitepaper(project_name, url)`, and `ask_whitepapers(query, project_name?)`.

4

Can I load any whitepaper URL?

Yes, as long as the URL points to a valid PDF. The `load_whitepaper` tool downloads and indexes the PDF into the local knowledge base.

5

Where is the whitepaper data stored?

It is downloaded and indexed locally inside the repository directory. No external database is used.

Comments

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