alexar76/aimarket-plugins
by Various
15 AIMarket hub plugins — TEE escrow, channels, reputation, safety, and more.
MCP
alexar76/aimarket-plugins
Added 11 June 2026
Overview
A collection of 15 plugins for the AIMarket hub, covering TEE escrow, channels, reputation, and safety. Built in Python, these plugins extend the hub's functionality for decentralized AI agent marketplaces.
Best for
Best for
Developers building or extending a decentralized AI agent marketplace who need modular plugin components.
Use cases
- Integrating trusted execution environment escrow for secure agent transactions
- Adding reputation and safety mechanisms to an AI agent marketplace
- Implementing channel-based communication between agents
How to use
Install
python mcp_stdio_server.py Tools exposed
package_capabilitygenerate_dockerfilegenerate_claude_desktop_config
Tested with
Claude Desktop, Cursor, Glama
Notes
A collection of 15 plugins for the AIMarket hub, covering TEE escrow, channels, reputation, and safety. Built in Python, these plugins extend the hub’s functionality for decentralized AI agent marketplaces.
0 stars on GitHub. Last updated 2026-06-10. Licensed MIT.
Use cases
- Integrating trusted execution environment escrow for secure agent transactions
- Adding reputation and safety mechanisms to an AI agent marketplace
- Implementing channel-based communication between agents
Pros
- Provides ready-to-use plugins for common marketplace features
- Python-based, easy to integrate with existing Python projects
- Covers multiple critical areas like escrow, reputation, and safety
Cons
- No stars or community traction, indicating limited adoption or testing
- Documentation and usage examples are minimal
- Dependent on the AIMarket hub, which may have its own limitations
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Provides ready-to-use plugins for common marketplace features
- Python-based, easy to integrate with existing Python projects
- Covers multiple critical areas like escrow, reputation, and safety
Cons
- No stars or community traction, indicating limited adoption or testing
- Documentation and usage examples are minimal
- Dependent on the AIMarket hub, which may have its own limitations
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