Skip to main content
Glama

Related Servers

Alternatives to Jev Harness (Apixly)

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Serves a single set of typed, validated tool definitions to MCP clients over stdio, letting them perform real actions through one controlled executor. The same definitions power a speech-driven OpenAI tool-calling agent, so voice and MCP clients share identical, validated capabilities.
      1
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Provides an MCP stdio interface for AI agents to propose tool calls that are validated against task policy, held for human approval when required, executed in a sandboxed Linux environment, and recorded in an audit log.
      MIT
    • A
      license
      A
      quality
      D
      maintenance
      Exposes a verified tool registry (calculator, sandboxed file read, web fetch) over MCP stdio, enabling any MCP-capable client to reuse the same tools from the inspectable ReAct loop.
      3
      MIT
    • F
      license
      Not graded
      quality
      B
      maintenance
      Enables MCP clients such as Claude Desktop or Claude Code to drive the local daemon through stdio, listing agents and sessions, running agents, and reporting costs.
      -

    TDQS

    C2.8/5.0

    Scored across 5 tools

    Disambiguation3/5

    observe and arguments both surface task state and argument references, so an agent may be unsure which to call first. operate (single tool execution) versus run_task (full end-to-end loop) also overlap conceptually, though the description of run_task's exclusivity ('only available before any operate call') helps.

    Naming Consistency3/5

    Two tools follow verb_noun (run_task, read_report) while observe and operate are bare verbs, and 'arguments' is a noun rather than an action. The set is readable but mixes conventions without a clear rule.

    Tool Count5/5

    Five tools is well-scoped for an agent harness: one entry point (run_task), a manual loop (observe/arguments/operate), and one post-hoc reader (read_report). Each tool has a clear role in the workflow.

    Completeness4/5

    The surface covers the full manual loop plus the automatic path and evidence retrieval, which is strong lifecycle coverage. Minor gaps exist: no explicit cancel/status tool for long-running run_task executions and no way to enumerate registered task definitions.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues