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GenPark Multi-Agent Borda Voting Consensus

GenPark Multi-Agent Borda Voting Consensus

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genpark.aiAI & Agents7Updated 1w ago

About GenPark Multi-Agent Borda Voting Consensus

GenPark Multi-Agent Borda Voting Consensus is an MCP server and Python library for resolving conflicting model proposals through positional Borda Count voting and weighted multi-agent consensus. It is intended for workflows that need to combine proposals into a consensus.

Key features

  1. 01Positional Borda Count voting
  2. 02Weighted multi-agent consensus
  3. 03Resolution of conflicting proposals
  4. 04Python standard-library runtime

Use cases

  1. 01Combining competing model proposals
  2. 02Reaching consensus across agent outputs

MCP support

It runs as an MCP server and exposes Borda voting and weighted multi-agent consensus capabilities to MCP clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository
Packages
mcpbgenpark-multi-agent-borda-voting-consensus-skill-v1.0.1.mcpb

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

GenPark Multi-Agent Borda Voting Consensus

License: MIT Python Standard Library Model Context Protocol GenPark

Positional Borda Count voting and weighted multi-agent consensus engine resolving conflicting model proposals.

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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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.