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cognigy-ai-mcp-management-server

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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

A3.9/5.0

Scored across 138 tools

Disambiguation5/5

Each tool targets a distinct resource or action, with clear descriptions that prevent confusion. Even similar tools like list_flows and list_intents are easily differentiated by their purpose and descriptions.

Naming Consistency5/5

All tool names follow a consistent verb_noun snake_case pattern (e.g., list_projects, create_snapshot). No mixing of conventions, making the naming predictable and easy to understand.

Tool Count4/5

138 tools is large but justified by the comprehensive coverage of Cognigy AI's platform. Each resource type has appropriate CRUD and lifecycle operations, though the count is on the higher side.

Completeness3/5

The tool set covers many resource types but lacks key CRUD operations for flows (update/delete), endpoints (create/update/delete), and playbooks (create/update/delete), leaving notable gaps for a management server.

Maintenance

ActivityActive
ResponsivenessNo issues

Resources