Skip to main content
Glama
Alpha-Park

genpark-reasoning-majority-voting-consensus-engine-skill

by Alpha-Park
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

Related Servers

Alternatives to genpark-reasoning-majority-voting-consensus-engine-skill

No user-submitted related servers found.

    Related Servers

    • genpark-reasoning-majority-voting-consensus-engine-skill by alphaparkinc

      genpark-reasoning-majorityofficial

      alphaparkinc
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables agents to resample reasoning paths, semantically deduplicate candidate answers, and confidence-weight votes to produce a consensus result. It also exposes verification and proof-checking tools over MCP STDIO JSON-RPC.
      7
      MIT

    • genpark-agent-self-consistency

      Alpha-Park
      F
      license
      Not graded
      quality
      B
      maintenance
      Aggregates multiple divergent LLM reasoning trajectories through majority voting and consensus scoring to produce high-confidence deterministic outputs without additional model calls. Plug into any MCP-compliant client to resolve agent tasks with sub-millisecond, zero-dependency execution.
      7
      -
    • genpark-agent-self-consistency-consensus-scorer-skill by alphaparkinc

      genpark-agent-self-consistencyofficial

      alphaparkinc
      F
      license
      Not graded
      quality
      B
      maintenance
      Enables aggregating divergent LLM reasoning trajectories via multi-path chain-of-thought self-consistency consensus scoring and majority voting into high-confidence deterministic outputs. Plugs into any MCP-compliant client over JSON-RPC 2.0 stdio with zero external dependencies.
      7
      -

    • genpark-reasoning-budget-test

      Alpha-Park
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables agents to dynamically allocate test-time compute, including entropy-driven thinking token budgets, temperature annealing, and reflection passes, while verifying reasoning via MCTS search with process reward modeling, counterfactual backtracking, formal proof checking, and majority-vote consensus. Runs as a zero-dependency Python MCP server over STDIO JSON-RPC for integration with Claude Desktop, Cursor, or custom agent runtimes.
      7
      MIT
    • genpark-deep-research-consensus-engine-skill by Alpha-Park

      genpark-deep-researchofficial

      Alpha-Park
      F
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to perform deep research across multiple sources, arbitrating consensus while evaluating source authority and detecting contradictions. It integrates via MCP with clients like Claude Desktop and Cursor to deliver deterministic, structured research dossiers.
      7
      -

    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

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources