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Related Servers

Alternatives to task-planner

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables MCP-capable agents to solve scheduling and integer optimization problems using Google OR-Tools, return proven-optimal or valid solutions, independently verify proposed solutions, and explain infeasible rule sets.
      MIT
    • A
      license
      A
      quality
      F
      maintenance
      Provides constraint satisfaction and optimization capabilities to LLMs and AI agents for scheduling, resource allocation, routing, budget optimization, and configuration problems using Google OR-Tools CP-SAT solver.
      5
      5
      Apache 2.0
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to decompose high-level goals into structured task plan DAGs with dependencies, acceptance criteria, and quality gates, and to validate or export those plans in multiple formats.
      MIT
    • A
      license
      B
      quality
      A
      maintenance
      Enables local deterministic discovery, validation, and selection of validated skills through MCP tools, producing consistent plans without executing any skill.
      5
      35 PyPI
      1
      Apache 2.0
    • A
      license
      Not graded
      quality
      A
      maintenance
      Provides deterministic decision and constraint evaluation for AI agents. Supports ruleset validation, fact evaluation, and constraint checking via MCP tools.
      Apache 2.0

    TDQS

    A3.5/5.0

    Scored across 3 tools

    Disambiguation4/5

    The three tools have distinct core purposes: full planning, incremental next-action selection, and validation of a proposed selection. plan_tasks and plan_next_action both involve planning and could be confused at first glance, but the descriptions clarify their different outputs and usage contexts.

    Naming Consistency5/5

    All tool names use a consistent snake_case verb-based pattern: plan_tasks, plan_next_action, check_plan. The convention is predictable and readable.

    Tool Count5/5

    Three tools are well-scoped for a task planner: one for full planning, one for replanning the next action, and one for validating a plan. Each tool has a clear role and earns its place.

    Completeness4/5

    The surface covers full planning, incremental replanning, and plan validation, which are the core lifecycle operations for this domain. Minor gaps might include explaining why a plan is infeasible or suggesting repairs, but agents can work around these by using check_plan and replanning.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues