GenPark Weighted Round Robin Balancer
LocalAbout GenPark Weighted Round Robin Balancer
GenPark Weighted Round Robin Balancer is a Python library and MCP server for routing across multiple LLMs with smooth weighted round-robin scheduling and dynamic weight adjustment. It is intended for agent workflows that need configurable multi-LLM routing.
Key features
- 01Smooth weighted round-robin routing
- 02Dynamic weight adjustment
- 03Python standard library only
- 04Usable as a library or MCP server
Use cases
- 01Distributing requests across multiple LLMs
- 02Adjusting routing weights dynamically
MCP support
Runs as an MCP server, exposing weighted multi-LLM routing to MCP clients. The README names Claude Desktop, Cursor, and LobeChat as clients it can connect to.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEGenPark Weighted Round Robin Balancer
Nginx-style smooth weighted round-robin load balancer with dynamic weight adjustment for multi-LLM routing.
Part of the GenPark AI Agent Skills Ecosystem.
🌟 Key Features
- 100% Python Standard Library: Zero third-party runtime dependencies.
- MCP Native: Plugs directly into Claude Desktop, Cursor, LobeChat, and autonomous agent DAGs.
- Production Resilience: Strict schema conformance, zero data loss, enterprise hardened.
🚀 Installation & Usage
Run as an MCP server:
python mcp_server.py
Use directly as a library:
from client import *
See example_usage.py for comprehensive integration demonstrations.
📄 License
MIT License. Maintained by GenPark AI.
Comments
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