MCPMempool
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCPMempoolset up priority-based scheduling for my background jobs"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MCPMempool
Auto-Scalable MCPMempool Manager that handles Priority Based Scheduling, built for everyday use.
MCPMempool is aimed at developers who need a straightforward, dependable solution.
Highlights
Auto-Scalable MCPMempool Manager that handles
Priority Based Scheduling, built for
everyday use
Key Features
Auto-Scalable MCPMempool Manager that handles
Priority Based Scheduling, built for
everyday use
Related MCP server: Kimi K2 Heavy Processor MCP
Technology Stack
python
python framework (Flask/Django/FastAPI or equivalent)
Pytest for testing
Installation
Clone the repository:
git clone https://github.com/fuad403273/MCPMempool.gitInstall dependencies:
pip install -r requirements.txtRun the test suite:
pytest
Configuration
Most behavior is controlled via command-line flags:
--verbose: enable detailed logging--config <path>: point to a custom config file--dry-run: preview changes without applying them
Contributing
Contributions are welcome and appreciated. Please submit pull requests and issues through the GitHub interface.
License
Released under the MIT License — see the LICENSE file.
This server cannot be deployed
Maintenance
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