tasq/node_modules/agentic-flow/docs/mcp-validation/strange-loops-test.md

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🤖 Agent: researcher 📝 Description: Deep research and information gathering specialist

🎯 Task: List all available MCP tools and their descriptions. Focus on tools from the strange-loops MCP server.

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[agentic-flow] Loaded MCP server: strange-loops

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I'll list all the available MCP tools from the strange-loops server for you.

Based on the tools available, here are all the Strange Loops MCP server tools:

Strange Loops MCP Tools

System Information

• mcp__strange-loops__system_info - Get Strange Loops system information and capabilities

Benchmarking

• mcp__strange-loops__benchmark_run - Run comprehensive performance benchmark
  • Parameters: agentCount (default: 1000), durationMs (default: 5000)

Nano-Agent Swarm

• mcp__strange-loops__nano_swarm_create - Create a nano-agent swarm with specified configuration

  • Parameters: agentCount (1-100,000, default: 1000), tickDurationNs (default: 25000), topology (mesh/hierarchical/ring/star, default: mesh)

• mcp__strange-loops__nano_swarm_run - Run nano-agent swarm simulation for specified duration

  • Parameters: durationMs (minimum: 100, required)

Quantum Computing

• mcp__strange-loops__quantum_container_create - Create a quantum container for quantum-classical hybrid computing

  • Parameters: qubits (1-16, default: 3)

• mcp__strange-loops__quantum_superposition - Create quantum superposition across all states

  • Parameters: qubits (default: 3)

• mcp__strange-loops__quantum_measure - Measure quantum state (collapses superposition)

  • Parameters: qubits (default: 3)

Temporal Prediction

• mcp__strange-loops__temporal_predictor_create - Create temporal predictor for future state prediction

  • Parameters: historySize (default: 500), horizonNs (default: 10000000)

• mcp__strange-loops__temporal_predict - Predict future values based on current input

  • Parameters: currentValues (array of numbers, required), horizonNs (default: 10000000)

Consciousness Evolution

• mcp__strange-loops__consciousness_evolve - Evolve temporal consciousness one step
  • Parameters: enableQuantum (default: true), maxIterations (default: 1000)

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These tools appear to provide capabilities for high-performance agent simulations, quantum computing experiments, temporal predictions, and consciousness evolution experiments. The system seems designed for complex parallel computing and quantum-classical hybrid scenarios.

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