Skip to main content
Glama
devcrazy2812

LogiSwarm AI MCP Server

by devcrazy2812
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

Related Servers

Alternatives to LogiSwarm AI MCP Server

No user-submitted related servers found.

    Related Servers

    • cerebrochain-mcp-server

      CerebroChain
      A
      license
      A
      quality
      D
      maintenance
      The first logistics/WMS MCP server for AI agents. Rate shopping, inventory management, order tracking, fleet logistics, AI-powered route optimization, demand forecasting, and supply chain analytics. 18 tools across 3 tiers.
      20
      7 npm
      1
      MIT

    • Agentic AI System MCP Server

      saikumarjash
      F
      license
      Not graded
      quality
      D
      maintenance
      Enables deployment of autonomous AI agents with memory and tool execution capabilities through a WebSocket-based MCP protocol. Provides production-ready infrastructure with REST API access, persistent state management, and extensible function registry for building self-hosted AI systems.
      -

    • DZ23 Subagents Universal MCP

      LMPrado-DZ23
      A
      license
      A
      quality
      A
      maintenance
      Enables users to delegate text and code tasks across multiple AI models with automatic failover, maintain shared mission memory and checkpoints across MCP harnesses, and coordinate parallel role-based subagents. It also supports model discovery, provider inventory, health checks, and stdio/HTTP tool access while leaving patches and tests to the harness.
      24
      MIT
    Deploy Server
    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

    TDQS

    A3.7/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool targets a clearly distinct function: fleet status retrieval, route optimization, disruption simulation, visual cargo inspection, and plan auditing. There is no overlap or ambiguity between them.

    Naming Consistency4/5

    All names use a consistent verb_noun snake_case pattern (get_fleet_status, optimize_cvrp_routes, inject_disruption, inspect_cargo_multimodal, evaluate_feedback_loop). Minor irregularity: the verb 'optimize' and acronym 'cvrp' differ slightly in style but remain readable and predictable.

    Tool Count5/5

    Five tools is well-scoped for a focused logistics optimization server. Each tool earns its place by covering a distinct stage of the fleet management and disruption-handling workflow.

    Completeness4/5

    The surface covers fleet status, optimization, disruption handling, inspection, and evaluation, forming a coherent lifecycle for logistics operations. Minor gap: no explicit tool for committing or exporting the final optimized routes/plan, though evaluation may implicitly cover this.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources