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Glama

Server Details

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

Status
Unhealthy
Last Tested
Transport
Streamable HTTP
URL

Glama MCP Gateway

Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.

MCP client
Glama
MCP server

Full call logging

Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.

Tool access control

Enable or disable individual tools per connector, so you decide what your agents can and cannot do.

Managed credentials

Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.

Usage analytics

See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.

100% free. Your data is private.
Tool DescriptionsA

Average 4/5 across 9 of 9 tools scored. Lowest: 3/5.

Server CoherenceA
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.

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