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kukapay/crypto-projects-mcp

by Various

An MCP server that provides cryptocurrency project data to AI agents

K

MCP

kukapay/crypto-projects-mcp

Added 1 June 2026

Overview

An MCP server that delivers cryptocurrency project data to AI agents via the Model Context Protocol. It enables agents to query structured information about crypto projects through a Python-based server.

Best for

Best for
Developers adding cryptocurrency project data to MCP-compatible AI agents

Use cases

  • Integrating real-time crypto project data into AI assistants or chatbots
  • Building research tools that fetch project details for analysis
  • Enabling portfolio tracking agents with up-to-date project information

Notes

An MCP server that delivers cryptocurrency project data to AI agents via the Model Context Protocol. It enables agents to query structured information about crypto projects through a Python-based server.

1 stars on GitHub. Last updated 2025-05-11. Licensed MIT.

Use cases

  • Integrating real-time crypto project data into AI assistants or chatbots
  • Building research tools that fetch project details for analysis
  • Enabling portfolio tracking agents with up-to-date project information

Pros

  • Provides structured data for easy consumption by AI agents
  • Follows the MCP standard for interoperability with compatible tools
  • Open-source Python implementation for customization

Cons

  • Very early stage with only 1 GitHub star and likely minimal community support
  • Limited documentation and testing beyond the repository itself
  • Data coverage and update frequency are unknown

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Provides structured data for easy consumption by AI agents
  • Follows the MCP standard for interoperability with compatible tools
  • Open-source Python implementation for customization

Cons

  • Very early stage with only 1 GitHub star and likely minimal community support
  • Limited documentation and testing beyond the repository itself
  • Data coverage and update frequency are unknown