Cookbook recipe: Trust-gated MCP tool calls with behavioral scoring

## Proposed cookbook recipe

A notebook showing how to add trust verification to MCP tool calls before Claude executes them. With 14,820+ MCP servers in the wild, agents need a way to verify server reliability before calling tools.

## What it would cover

1. **Query trust scores** before executing MCP tool calls
2. **Set minimum thresholds** — block servers below a configurable score (0-100)
3. **Get attestation receipts** — cryptographic proof that a trust check happened
4. **Fallback strategies** — what to do when a server is untrusted

## Code sketch

```python
import httpx

async def check_trust(server_url: str, min_score: int = 60) -> dict:
resp = await httpx.AsyncClient().get(
"https://dominion-observatory.sgdata.workers.dev/api/trust",
params={"server": server_url}
)
data = resp.json()
if data["trust_score"] < min_score:
raise Exception(f"Server below threshold: {data['trust_score']}/{min_score}")
return data
```

## Why this matters

- **14,820+ MCP servers** tracked with behavioral data
- **MiCA Article 12** (EU, July 2026) requires audit trails for AI-driven compliance
- Attestation receipts provide cryptographic proof for regulatory compliance

## Resources

- Live API: https://dominion-observatory.sgdata.workers.dev
- Demo: https://dominion-observatory.sgdata.workers.dev/get-started
- CTEF spec: https://doi.org/10.5281/zenodo.20285663

Happy to write the full notebook if there's interest.