# Performance

Performance considerations for vCon MCP Server.

## Resource Recommendations

| Workload           | CPU  | Memory | Replicas |
| ------------------ | ---- | ------ | -------- |
| Development        | 0.25 | 256Mi  | 1        |
| Production (small) | 0.5  | 512Mi  | 2        |
| Production (large) | 1    | 1Gi    | 3+       |

## Multi-Instance Deployments

Enable stateless mode for horizontal scaling:

```bash
MCP_HTTP_STATELESS=true
```

## Embedding Performance

Process embeddings in batches to avoid rate limits:

```bash
docker run --rm \
  -e SUPABASE_URL=your-url \
  -e SUPABASE_SERVICE_ROLE_KEY=your-key \
  -e OPENAI_API_KEY=your-key \
  public.ecr.aws/r4g1k2s3/vcon-dev/vcon-mcp:main \
  script embed-vcons --batch-size=50 --delay=100
```

## Search Performance

| Search Type | Speed  | Use Case             |
| ----------- | ------ | -------------------- |
| Full-text   | Fast   | Keyword matching     |
| Semantic    | Slower | Meaning-based search |
| Hybrid      | Medium | Best of both         |

## Caching (Optional)

Enable Redis for caching:

```bash
REDIS_URL=redis://localhost:6379
```

## Observability

Enable OpenTelemetry for performance monitoring:

```bash
OTEL_ENABLED=true
OTEL_ENDPOINT=http://jaeger:4318
```

## Next Steps

* [Docker Deployment](/deployment/docker.md)
* [Production Setup](/deployment/production.md)


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