Skip to main content
Glama
Platano78

Smart-AI-Bridge

by Platano78

Related Servers

Alternatives to Smart-AI-Bridge

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      An enterprise-grade MCP server that enables AI coding assistants to securely connect with external tools, APIs, databases, and cloud services through a unified interface, offering structured engineering workflows and multi-client support.
      MIT
    • A
      license
      C
      quality
      B
      maintenance
      MCP server that provides 160 specialist AI agents as parallel sub-agents and MCP tools for tasks like security auditing, API design, DB schema design, and more. It is local-first with BYOK support and integrates with 12+ IDEs.
      161
      1
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Provides a provider-agnostic MCP server that coordinates structured multi-agent workflows, owning task claims, action logs, handoffs, and server-side health gates for coding agents. It enables tracked specs, tasks, reviews, and verified completion across Claude Code, Codex CLI, Cursor, Grok Build, and OpenCode.
      29 npm
      MIT
    • F
      license
      Not graded
      quality
      D
      maintenance
      Enterprise MCP server providing a suite of tools including file, database, GitHub, Slack, calendar, email, vector search, and Python execution, with safe defaults and OpenAI integration for automatic tool selection.
      -
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables MCP-capable AI coding tools to dispatch tasks in parallel to multiple installed AI CLIs with automatic failover, plus run multi-AI discussions and cross-reviews, hand code off between tools, manage shared workspaces, and inspect token usage, traffic, clients, and task memory. Also exposes image recognition (OCR/vision), tool and client administration, and log access through a single local hub.
      7 npm
      MIT

    TDQS

    A4.2/5.0

    Scored across 17 tools

    Disambiguation4/5

    Most tools have clearly separated purposes, and the descriptions explicitly cross-reference alternatives to reduce confusion (e.g., analyze_file vs batch_analyze vs explore; generate_file vs dual_iterate). Minor residual ambiguity exists among ask/council/spawn_subagent and review/analyze_file, but the in-description disambiguation is strong.

    Naming Consistency3/5

    The file-focused tools follow a recognizable verb_file pattern (analyze_file, generate_file, modify_file) and batch_* is a useful prefix, but the set mixes bare verbs (ask, review, explore, refactor), noun-style names (council, parallel_agents), and compound names (dual_iterate, check_backend_health). No single naming convention is sustained across the full toolset.

    Tool Count4/5

    At 17 tools, the server is slightly past the typical 3-15 well-scoped range, but it spans codebase analysis, file mutation, backup management, AI orchestration, and backend operations, so most tools earn their place. It is a bit heavy for an agent to choose among, but not bloated.

    Completeness4/5

    The surface covers file generation, single and batch editing, refactoring, backup/restore, code analysis/search, and multiple multi-agent orchestration modes, leaving few dead ends. The main gaps are the lack of a delete/remove file operation and any high-level management of backend/routing configuration beyond health checks and analytics.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues