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Scottcjn/rustchain-mcp

by Various

MCP server for RustChain blockchain and BoTTube video platform — AI agent tools for earning RTC tokens. Built on createkr's RustChain SDK.

S

MCP

Scottcjn/rustchain-mcp

Added 13 July 2026

#agent-economy #ai-agents #blockchain #depin #mcp #model-context-protocol #proof-of-antiquity #rustchain

Overview

A Python-based MCP server that exposes tools for AI agents to interact with the RustChain blockchain and the BoTTube video platform. It enables agents to perform actions that earn RTC tokens, built on top of the RustChain SDK from createkr.

Best for

Best for
Developers building AI agents to automate earning RTC tokens on RustChain and BoTTube platforms

Use cases

  • Automating RTC token earning through AI agents on RustChain
  • Integrating BoTTube video platform actions into agent workflows
  • Building MCP-compatible tools for blockchain and video platform interactions

How to use

Install

pip install rustchain-mcp

Tools exposed

  • wallet_create
  • wallet_balance
  • wallet_history
  • wallet_transfer_signed
  • wallet_list
  • wallet_export
  • wallet_import
  • rustchain_health
  • rustchain_epoch
  • rustchain_miners
  • rustchain_create_wallet
  • rustchain_balance
  • rustchain_stats
  • rustchain_lottery_eligibility
  • rustchain_transfer_signed
  • legend_of_elya_info
  • bounty_search
  • contributor_lookup
  • network_health
  • green_tracker

Tested with

Claude Desktop, Continue

Example client config

{\n  "mcpServers": {\n    "rustchain": {\n      "command": "rustchain-mcp",\n      "args": ["--api-key", "your-api-key"]\n    }\n  }\n}

Notes

A Python-based MCP server that exposes tools for AI agents to interact with the RustChain blockchain and the BoTTube video platform. It enables agents to perform actions that earn RTC tokens, built on top of the RustChain SDK from createkr.

98 stars on GitHub. Last updated 2026-07-12. Licensed MIT.

Use cases

  • Automating RTC token earning through AI agents on RustChain
  • Integrating BoTTube video platform actions into agent workflows
  • Building MCP-compatible tools for blockchain and video platform interactions

Pros

  • Follows the Model Context Protocol for standardized AI agent integration
  • Built on a well-defined RustChain SDK, reducing implementation guesswork
  • Focused on a concrete use case: token earning via automation

Cons

  • Limited to the RustChain and BoTTube ecosystems, not general-purpose
  • Small community (98 stars) with fewer contributors and support
  • Requires Python runtime and familiarity with the MCP framework

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

Pros

  • Follows the Model Context Protocol for standardized AI agent integration
  • Built on a well-defined RustChain SDK, reducing implementation guesswork
  • Focused on a concrete use case: token earning via automation

Cons

  • Limited to the RustChain and BoTTube ecosystems, not general-purpose
  • Small community (98 stars) with fewer contributors and support
  • Requires Python runtime and familiarity with the MCP framework
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