Crypto Projects

An MCP server that provides cryptocurrency project data to AI agents

python

1

GitHub Stars

python

Language

4 months ago

First Indexed

3 weeks ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

{
  "mcpServers": {
    "kukapay-crypto-projects-mcp": {
      "command": "uv",
      "args": [
        "run",
        "mcp",
        "dev",
        "main.py"
      ]
    }
  }
}

You have an MCP server named Crypto Projects MCP Server that fetches cryptocurrency project data from Mobula.io and presents it as structured, human-friendly Markdown. It enables you to retrieve raw data through a tool and produce polished project briefs suitable for AI agents and decision-making.

How to use

You interact with the Crypto Projects MCP Server using an MCP client. You can grab raw project data and then convert it into a well-organized Markdown document that covers overview, market data, investors, exchanges, token distribution, and release schedules.

Step 1: Retrieve raw data for a project with the get_project_data tool. Step 2: Format that data into a comprehensive Markdown document using the format_project_data prompt. You can rely on the system locale or specify a language when formatting.

How to install

Prerequisites: Python 3.10 or higher, the uv tool for package management and running the MCP server, and Mobula API access for public endpoints.

Clone the MCP server repository and navigate into it.

Install dependencies and prepare the runtime environment using the MCP runner.

Run the server in development or install mode using the commands shown below.

uv run mcp dev main.py

uv run mcp install main.py --name "Crypto Projects"

Notes and examples

The server offers two primary interfaces: a tool to fetch raw data and a prompt to format it into a structured Markdown document. Use the get_project_data tool to obtain details like price, market cap, and links, then use format_project_data to generate a complete project report.

Example interactions focus on Avalanche-like project data, showing how fields like name, symbol, market data, exchanges, and investors can be represented in a Markdown document.

Available tools

get_project_data

Retrieves raw JSON data for a specified cryptocurrency project, including basic details like price, market cap, blockchain, and social links.

format_project_data

Fetches data via the get_project_data tool and formats it into a comprehensive Markdown document with sections such as Overview, Market Data, Investors, Exchanges, Token Distribution, and Token Release Schedule.