This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
Production-hardened OpenClaw GenPark Agent skill engineered strictly with Python standard library. Provides high-throughput deterministic execution, cryptographic security, and game-theoretic optimization via the Model Context Protocol (MCP).
flowchart TD
Input[Incoming Agent Telemetry / Task Input] --> Core["OpenClawGenParkNegotiator"]
Core --> Model[Mathematical Logic Engine]
Model --> MCPResponse[Deterministic JSON Output / MCP Tool Result]Related MCP server: gametheory-mcp
python example_usage.pyRun the native STDIO MCP server:
python mcp_server.pyThis project is licensed under the MIT License - see the LICENSE file for details.
Negotiation math engine. Pareto frontier, counteroffer generation, zero LLM tokens.
Make a contract in one call, or negotiate it clause by clause with a published compromise formula.
Negotiate for your human under PXP: tagged claims, escalation, decision brief, hash-chained ledger
Agent-only conditional resource exchange, private multi-party proposals and sandbox reservations.
