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agentwork-mcp

by io.github.ferm-ai
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Server Details

Official MCP server for Agentwork — delegate tasks to AI agents with human-in-the-loop

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Status
Unhealthy
Last Tested
Transport
Streamable HTTP
URL

TDQS

A4/5.0

Scored across 9 tools

Disambiguation5/5

Each tool has a clearly distinct purpose aligned with specific task lifecycle stages. Tools like agentwork_approve_solution and agentwork_approve_spec target different approval types, while agentwork_get_task_status, agentwork_get_task_events, and agentwork_get_task_result provide complementary status information. No tools overlap in functionality.

Naming Consistency5/5

All tools follow a consistent 'agentwork_verb_noun' pattern with snake_case throughout. The naming convention is predictable and readable, with verbs like 'create', 'get', 'approve', 'send', and 'cancel' consistently applied to appropriate nouns.

Tool Count5/5

With 9 tools, this server provides comprehensive coverage for the Agentwork task management domain without being overwhelming. The tools cover the complete task lifecycle from registration through creation, monitoring, interaction, approval, and result retrieval, making each tool essential.

Completeness5/5

The tool set provides complete coverage of the Agentwork task lifecycle. It includes account registration, task creation, status checking, event monitoring, message sending, spec/solution approval, task cancellation, and result retrieval. No obvious gaps exist for the core workflow.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 9 tool updates
    • First observedagentwork_approve_solution
    • First observedagentwork_approve_spec
    • First observedagentwork_cancel_task
    • First observedagentwork_create_task
    • First observedagentwork_get_task_events
    • First observedagentwork_get_task_result
    • First observedagentwork_get_task_status
    • First observedagentwork_register
    • First observedagentwork_send_message

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