A
licenseNot graded
qualityD
maintenanceMCP server for fal model discovery, execution, pricing, and local media processing, enabling AI model workflows via natural language.
85 npm
MIT
ivedaai-mcp-server
by WillO-OlliW
Related Servers
Alternatives to ivedaai-mcp-server
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityDmaintenanceAn MCP server for comprehensive video analysis — AI-powered transcription, visual frame analysis, and metadata extraction from 1000+ platforms.1MIT
- FlicenseNot gradedqualityDmaintenanceAn MCP server that enables natural language interaction with Google's Discovery Engine API, allowing users to search, recommend, and manage data through conversational interfaces.-
video-analyzerofficial
FlicenseNot gradedqualityDmaintenanceMCP server enabling video analysis via scene detection, audio transcription, visual description, and stylistic fingerprinting, with tools for full pipeline execution and storyboard generation.-- AlicenseNot gradedqualityBmaintenanceMCP server for storing, managing, and analyzing IETF vCon (Virtual Conversation) data with AI assistants.35 npm4MIT
- FlicenseNot gradedqualityDmaintenanceAn MCP server that helps developers integrate Vonage API capabilities by providing AI-assisted access to Vonage documentation through specialized search functionality.-
TDQS
B3.3/5.0
Scored across 66 tools
Disambiguation2/5
With 66 tools spanning many overlapping domains, several tools have unclear boundaries—e.g., ivedaai_camera vs ivedaai_add_camera, ivedaai_alert_rule vs ivedaai_alert_trigger vs ivedaai_alert_integration, and ivedaai_alert vs ivedaai_event. Despite detailed descriptions, the volume and conceptual overlap make misselection likely.
Naming Consistency2/5
All tools share the 'ivedaai_' prefix, but the remainder mixes singular and plural nouns (account, accounts), acronyms (ainvr), and verbs (get_schema, add_camera), with no consistent verb_noun pattern. While snake_case is used for multi-word names, the convention is resource-name based rather than action-based.
Tool Count1/5
66 tools is far beyond the typical well-scoped range and falls into the extreme mismatch category (50+). Even for a comprehensive API, this is an enormous surface that burdens discovery and selection.
Completeness4/5
The surface is remarkably comprehensive for the IvedaAI domain, covering CRUD for cameras, accounts, groups, alerts, rules, faces, license plates, scenes, jobs, NVRs, and more. Minor gaps exist (e.g., no delete for cloud storage, read-only histories for camera state), but core workflows are well covered.
Maintenance
ActivityMaintained
ResponsivenessNo issues