claude mcp add crypto-projects-mcp -- npx -y crypto-projects-mcp
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
1 โ ยท kukapay/crypto-projects-mcp ยท read from the GitHub search API ยท (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list ยท type: MCP server
Harvest history
first seen 2026-10-09 ยท last seen 2026-10-16 ยท seen 32ร ยท listed by 7 sources
Score
score 703 ยท 1 โ ยท 7 sources ยท mcp
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How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
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repository kukapay/crypto-projects-mcp๏ผfirst catalogued 2026-10-09๏ผlast seen 2026-10-16ใThere is no official certification or quality rating here โ we record sources and dates only.
An MCP server that provides cryptocurrency project data from Mobula.io to AI agents. Features - **Fetch Project Data**: Retrieve comprehensive project details (e.g., market data, tokenomics, and links) from Mobula. - **Structured Output**: Format project data into a well-organized Markdown document with sections for overview, market data, investors, exchanges, token distribution, and release schedules. - **Language Support**: Customize output language based on system locale or user-specified settings. Installation Prerequisites - Python 3.10 or higher - uv for package management and running the project - Mobula API access (no authentication required for public endpoints) Setup 1. **Clone the Repository**: 2. **Install Dependencies**: Usage Running in Development Mode Test the server using the MCP Inspector: Integrating with Claude Desktop Install the server in Claude Desktop for LLM interaction: Example Interaction The server provides two primary interfaces: a **tool** to fetch raw data and a **prompt** to format it into a structured Markdown document. 1. Using the get_project_data Tool The get_project_data tool retrieves raw JSON data for a specified cryptocurrency project. This is useful for applications needing unprocessed data. This returns a dictionary containing details like price, market cap, blockchain, and social links for Avalanche. Example output: 2. Using the format_project_data Prompt The format_project_data prompt fetches data using the get_project_data tool and formats it into a comprehensive Markdown document. This prompt is designed for LLM applications to present structured, human-readable information about a cryptocurrency project. This generates a Markdown document with detailed sections. Example output for Avalanche: License This project is licensed under the MIT License. See the LICENSE file for details.