Skip to main content
Glama
putervision

behavior-mcp

by putervision
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Local

Related Servers

Alternatives to behavior-mcp

No user-submitted related servers found.

    Related Servers

    • Touch Flow Base (MCP Counter

      jobinpjoseph707
      A
      license
      Not graded
      quality
      D
      maintenance
      An MCP server that enables AI agents to execute sandboxed JavaScript code to control external web applications in real-time. It utilizes WebSockets to synchronize script execution with frontend animations, allowing complex UI interactions to be handled in a single agent turn.
      ISC
    • genpark-personal-agent-dual-cognition-orchestrator-skill by alphaparkinc

      genpark-personal-agent-dualofficial

      alphaparkinc
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables personal AI agents to perceive ambient context, retain episodic memory with decay, act proactively, and route routine decisions through fast System-1 reflexes while escalating ambiguous multi-hop plans to frontier LLMs. Includes reversible execution checkpoints, token budgets, and local-first memory retention, and plugs into MCP clients like Claude Desktop, Cursor, and Windsurf.
      7
      MIT
    • genpark-meta-muse-episodic-memory-graph-mcp by alphaparkinc

      genpark-meta-muse-episodicofficial

      alphaparkinc
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to combine ambient multimodal perception, continuous episodic memory, and recency-decay context briefing for fast deterministic decisions and safe tool routing. It integrates with MCP clients to reduce unnecessary frontier LLM calls while enforcing token budgets and local-first memory retention.
      7
      MIT
    • genpark-jev-system1-subconscious-decision-skill by alphaparkinc

      genpark-jev-system1official

      alphaparkinc
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to resolve typed routing, loop-stall arbitration, and tool safety checks locally at sub-millisecond latency, avoiding unnecessary frontier LLM calls. It enforces reversible execution checkpoints, token budgets, and decayed episodic memory for safe, privacy-first autonomous operation.
      7
      MIT
    Deploy Server
    Context Every Agent Can ShareAgents share what they learn, hand off work, and keep it when you switch models. Start with 5 GB free.fulcradynamics.comAd

    TDQS

    A4.2/5.0

    Scored across 10 tools

    Disambiguation5/5

    Each tool targets a distinct aspect of behavior tree runtime management, and descriptions explicitly guide against misselection (e.g., 'use X instead of Y'). Overlaps like get_status vs get_metrics and load_behavior vs manage_behaviors are clearly differentiated.

    Naming Consistency5/5

    All tool names follow a consistent snake_case verb_noun pattern (e.g., load_behavior, set_parameters, get_status, manage_blackboard). No mixing of conventions or vague abbreviations.

    Tool Count5/5

    10 tools is well-scoped for a behavior tree runtime server. Each tool earns its place by covering a unique functional area without redundancy.

    Completeness4/5

    The surface covers definition, execution, monitoring, data sharing, triggers, recordings, metrics, and DB maintenance. Minor gaps exist: no explicit delete/update for behavior definitions (immutability may excuse this), no release for blackboard leases, and no delete for recordings.

    Maintenance

    ActivityNo data
    ResponsivenessNo issues

    Resources