Skip to main content
Glama
kiranmaya

AI CLI MCP Server

by kiranmaya
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Related Servers

Alternatives to AI CLI MCP Server

No user-submitted related servers found.

    Related Servers

    • codex-antigravity-mcp

      Lucemz
      A
      license
      Not graded
      quality
      A
      maintenance
      Enables Codex users to delegate engineering, refactoring, auditing, and test execution tasks to Google Antigravity CLI as a persistent autonomous subagent, with tools for managing sessions and running prompts.
      1
      MIT

    • SubagentBridge

      rzqllh
      A
      license
      Not graded
      quality
      C
      maintenance
      Enables a primary agent in Antigravity IDE to delegate coding tasks to background subagents across multiple model backends, with crash recovery, process cleanup, and human-in-the-loop approval for destructive actions.
      MIT

    • AgentHub

      premanand8800
      A
      license
      B
      quality
      A
      maintenance
      Enables Claude Code to delegate prompts, reviews, and file-changing tasks to other coding agents such as Codex, Antigravity, Claude, Aider, and Goose, running each job in an isolated git worktree whose diff can be inspected before applying or discarding. All traffic passes through one policy layer with trusted folders, permission modes, minimal environments, timeouts, quota-aware fallback, and a hash-chained audit log.
      18
      1,904 PyPI
      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

    A3.9/5.0

    Scored across 6 tools

    Disambiguation4/5

    The two run tools and two review tools are intentionally parallel but clearly distinguished by vendor (Codex vs. Antigravity), and cli_status/get_agent_skills are wholly distinct. The main confusion risk is between codex_run and antigravity_run, but descriptions make the target CLI explicit.

    Naming Consistency4/5

    The core tools follow a consistent vendor_action pattern (codex_run, antigravity_run, codex_review, antigravity_review). cli_status and get_agent_skills break the pattern slightly, but they are also different kinds of operations and the names remain readable and predictable.

    Tool Count5/5

    Six tools is a well-scoped set for a server that wraps two external CLI agents. Each tool covers a distinct operational need: execute, review, status check, and usage guidance.

    Completeness4/5

    The server covers the primary workflows one would expect: running and reviewing with both Codex and Antigravity, plus environment status and skill guidance. Minor gaps like model listing or installation tooling exist, but agents can work around them.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources