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Metis

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by BrightbeamAI
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Python
Hybrid

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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

A4.7/5.0

Scored across 10 tools

Disambiguation5/5

Each tool has a clearly delineated role: observation submission, guidance retrieval, task memory assembly, metadata listing, workspace overview, whisper management, fragment contestation, and audit functions. The descriptions explicitly cross-reference and distinguish similar tools (e.g., retrieve_guidance vs agent_memory_context vs list_tacit_memory), preventing misselection.

Naming Consistency4/5

Names are predominantly verb_noun in snake_case (submit_observation, retrieve_guidance, list_tacit_memory, etc.), but 'agent_memory_context' is a noun phrase and 'audit_verify'/'audit_tail' invert the verb-noun order, creating minor inconsistency.

Tool Count5/5

10 tools appropriately cover the server's domain of tacit knowledge governance without redundancy or thinness; each tool has a distinct purpose and the count feels well-scoped.

Completeness5/5

The surface covers the full lifecycle: reporting observations, generating whispers, answering/contesting fragments, retrieving guidance, listing memory, auditing the evidence chain, and summarizing the workspace. No critical gaps are apparent.

Maintenance

ActivityMaintained
ResponsivenessNo issues

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