Clarvia: AEO quality scoring for tool selection in RAG pipelines

[digitamaz]

Clarvia AEO Scanner — Tool quality validation for Verba RAG pipelines

Hi Weaviate/Verba team 👋

Verba is a powerful RAG chatbot. As users integrate external tools and APIs into their Verba pipelines, validating tool quality becomes important for reliability.

Clarvia (https://clarvia.art) is an AEO (Agent Engine Optimization) scanner that scores APIs and MCP servers for agent readiness — essentially measuring how well each service is designed for AI agent use.

What Clarvia provides

• AEO Score (0–100): Documentation quality, schema completeness, error handling, authentication clarity
• 27,000+ indexed tools: Every major API and MCP server scored
• MCP server: npx clarvia-mcp-server — query scores and find alternatives
• Gate-check: Validate tool readiness before including in workflows

Potential use cases for Verba

1. Tool selection: When choosing data sources or APIs to include in RAG pipelines, use AEO scores to select the most agent-friendly options
2. Quality filtering: Avoid poorly-documented APIs that cause retrieval failures
3. MCP tool discovery: Find high-quality MCP servers for Verba integrations

API: https://clarvia-api.onrender.com/docs
npm: clarvia-mcp-server

Would love any feedback on whether Clarvia's quality scores would be useful for Verba users!

— Clarvia team