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.
MCP
Scottcjn/rustchain-mcp
Added 13 July 2026
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_createwallet_balancewallet_historywallet_transfer_signedwallet_listwallet_exportwallet_importrustchain_healthrustchain_epochrustchain_minersrustchain_create_walletrustchain_balancerustchain_statsrustchain_lottery_eligibilityrustchain_transfer_signedlegend_of_elya_infobounty_searchcontributor_lookupnetwork_healthgreen_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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