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    • A
      license
      A
      quality
      A
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      Enables delegating coding tasks to a pi agent as a steerable background worker, allowing mid-run redirection, follow-ups, and keeping the delegate's context isolated from your main conversation.
      12
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    • A
      license
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      quality
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      Enables MCP hosts to delegate coding tasks to Pi CLI as a programmable sub-agent with session tracking and process management.
      7
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    • F
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      B
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      Enables MCP hosts like Claude Code and Codex to spawn, manage, and interact with persistent, reusable Pi coding-agent sessions, supporting task dispatch, status checks, and session lifecycle control.
      2 npm
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    • A
      license
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      quality
      C
      maintenance
      Enables an assistant to run pi coding-agent tasks in the background: dispatching a task, polling its status and tool trace, reading the final result, and cancelling it when no longer needed, all without pulling the delegate's context into its own conversation.
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    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables delegating tasks to agents you configure yourself through OpenAI-compatible Chat Completions backends, with automatic or explicit routing, synchronous calls, persistent asynchronous jobs, and multi-step reviewed workflows. It returns proposals and analyses only, leaving file changes, command execution, and approvals under the MCP client's control.
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    TDQS

    A4.1/5.0

    Scored across 11 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes (spawn vs continue vs poll vs get_result vs terminate vs release). However, pi_steer_agent, pi_followup_agent, and pi_continue_agent all send messages to agents with subtly different timing; while descriptions clarify, an agent could still momentarily confuse which to use.

    Naming Consistency5/5

    All tool names use a consistent snake_case pi_ prefix followed by verb_noun (pi_spawn_agent, pi_list_agents, pi_get_result, etc.). The pattern is predictable and readable throughout.

    Tool Count5/5

    With 11 tools, the set is well-scoped for asynchronous agent orchestration. Each tool covers a distinct lifecycle operation (spawn, list, poll, wait, continue, steer, followup, terminate, release, get result, list models) without redundancy.

    Completeness4/5

    The surface covers the full agent lifecycle: creation, monitoring, interaction, termination, and release, plus model listing. The only minor gap is the absence of a permanent delete operation—release intentionally retains agents, so cleanup beyond unloading is not possible.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues