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Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
OPENROUTER_API_KEYYesRequired API key for OpenRouter
CONSENSUS_THRESHOLDNoAgreement threshold for consensus detection (range: 0.0-1.0)0.8
CONSENSUS_MAX_ROUNDSNoMaximum number of discussion rounds (range: 1-10)5
DISABLE_CONSENSUS_LOGGINGNoSet to 'true' to disable console loggingfalse

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
consensusA

A multi-advisor consensus system that facilitates structured discussion and debate among general-purpose AI advisors to reach optimal solutions.

Important instruction for the requesting model: If your request includes or references source code, provide the full source code without truncation (do not omit sections). If the consensus requests a code artifact, include the complete implementation.

This tool uses a team of 5 general-purpose AI advisors (Alpha, Beta, Gamma, Delta, Epsilon) who are trained to:

  • Analyze any type of problem from multiple relevant perspectives

  • Consider technical, practical, strategic, ethical, and risk dimensions as appropriate

  • Work collaboratively toward consensus through objective analysis

  • Adapt their approach based on the specific problem domain

  • Request additional information when needed to make informed decisions

Each advisor follows core principles of objectivity, collaboration, thoroughness, adaptability, and clarity, making them suitable for any problem type without being bound to specific roles.

The advisors work collaboratively to:

  1. Analyze problems comprehensively from whatever angles are most relevant

  2. Engage in constructive debate and evidence-based discussion

  3. Request additional information through tools when needed

  4. Work toward consensus on the objectively best solution

  5. Provide well-reasoned justification for their conclusions

When to use this tool:

  • Any complex problem that would benefit from multiple perspectives

  • Decisions requiring thorough analysis and debate

  • Problems where objective consensus is valuable

  • Situations where different dimensions need to be considered

  • Scenarios requiring comprehensive evaluation and risk assessment

  • Any decision where you want to validate through multiple AI perspectives

Key features:

  • 5 general-purpose advisors adaptable to any problem domain

  • Multi-round discussion with automatic consensus detection

  • Tool request integration for research and information gathering

  • Configurable discussion limits and consensus thresholds

  • Detailed discussion history and reasoning documentation

  • Advisors consider all relevant dimensions without role limitations

Parameters explained:

  • problem: Detailed description of the problem or request to solve

  • availableTools: Array of tool names available to the LLM for research

  • maxRounds: Maximum number of discussion rounds (configured via CONSENSUS_MAX_ROUNDS env var)

  • consensusThreshold: Consensus agreement threshold (configured via CONSENSUS_THRESHOLD env var)

Tool request format for advisors: TOOL_REQUEST: {"tool": "tool_name", "parameters": {"param": "value"}, "reason": "explanation of why this tool is needed"}

The system will:

  1. Present the problem to all 5 general-purpose advisors simultaneously

  2. Collect initial responses and any tool requests

  3. If tools are requested, pause for LLM execution and continue with results

  4. Facilitate multiple discussion rounds until consensus or max rounds reached

  5. Return final consensus solution with complete discussion history

Example usage scenarios:

  • Business decisions requiring comprehensive analysis

  • Technical problems with multiple possible solutions

  • Strategic planning with various considerations

  • Ethical dilemmas needing balanced evaluation

  • Any complex problem where multiple perspectives would be beneficial

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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