Add Clarvia integration — MCP tool quality scoring in the agent workflow

[digitamaz]

Cookbook Contribution: Clarvia MCP Integration

Hi! I'd like to contribute a Clarvia integration to the third_party directory (similar to the existing Pinecone, MongoDB, LlamaIndex examples).

What Clarvia is

Clarvia is an AEO (Agent Experience Optimization) platform that scores and indexes MCP servers. It helps developers understand and improve how AI agents discover and use their tools.

Proposed cookbook recipe

"Building a self-optimizing tool selection pipeline with Clarvia"

A notebook demonstrating:

1. Use Claude + Clarvia MCP to dynamically discover the best tool for a task
2. Compare AEO scores of candidate tools before selecting
3. Build a feedback loop where tool quality improves based on agent usage patterns

Why it fits

• Clarvia is purpose-built for Claude/MCP ecosystem
• Demonstrates a pattern relevant to anyone building agent workflows: tool quality as a first-class concern
• Connects to the existing tool_use recipes — shows how to select which tools to use

Clarvia Quick Start

import anthropic

# Configure Clarvia MCP
client = anthropic.Anthropic()

# Clarvia MCP tools:
# - search_tools: find best MCP tool for a task
# - get_aeo_score: score any tool's agent-readiness
# - compare_tools: side-by-side comparison

# npx clarvia-mcp-server

References

• GitHub: https://github.com/clarvia-project/clarvia-mcp-server
• Platform: https://clarvia.art
• npm: 714 weekly downloads, MIT licensed

Happy to submit a PR with a full notebook if the team is interested!