Skip to main content
Glama
Sign In
genpark-multi-agent-debate-consensus-synthesizer-skill

genpark-multi-agent-debate-consensus-synthesizer-skill

by Alpha-Park
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Related Servers

Alternatives to genpark-multi-agent-debate-consensus-synthesizer-skill

No user-submitted related servers found.

    Related Servers

    • Plurality

      Thormatt
      A
      license
      Not graded
      quality
      C
      maintenance
      Enables users to run a decision through a panel of AI models that give independent takes, respond to one another, and return a memo with disagreements and the full transcript preserved. It offers eight deliberation methods — such as Consensus, Debate, Red Team, Peer Review, Forecast and Oracle voting — with named persona teams, previewable rosters, and private SQLite-backed history you can export or revisit.
      Apache 2.0
    • genpark-multi-agent-debate-consensus-synthesizer-skill

      genpark-multi-agent-debateofficial

      alphaparkinc
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to run structured multi-persona debates over high-stakes decisions and merge their positions into an explainable consensus, complete with logged dissenting minority opinions. It runs as a zero-dependency Python MCP server or importable module, compatible with Claude Desktop, Cursor, and custom agent frameworks.
      7
      MIT

    • consensus

      seanheiney
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables orchestrating a panel of frontier AI models that independently propose, critique, revise, and converge on a single agreed answer to a problem, using existing vendor subscriptions or API keys.
      19 npm
      1
      MIT

    • Roundtable MCP

      hardc0l2e
      A
      license
      A
      quality
      C
      maintenance
      Enables role-based, multi-model AI orchestration by assigning specialized expert roles to a hybrid panel of local and cloud LLMs, generating unified advisory council reports for complex tasks.
      6
      15 npm
      1
      MIT

    This server cannot be deployed

    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    Resources