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DataFaucet deploys MCP servers from API traffic so AI agents can access business tools natively. StepZen (now IBM API Connect Essentials) builds federated GraphQL APIs from REST endpoints and databases. Different protocols, different consumers, complementary when used together.
DataFaucet free tier: 3 servers, no credit card. StepZen: free tier with rate limits, paid via IBM Cloud.
| Feature | DataFaucet Free tier | StepZen |
|---|---|---|
| What it does | ✓ Captures API traffic and deploys hosted MCP servers for AI agent tool access | ✓ Builds federated GraphQL APIs from REST, databases, and other data sources |
| Primary consumer | ✓ AI agents (Claude, Cursor, Windsurf, Codex via MCP protocol) | ✓ Frontend apps and mobile clients (via GraphQL queries) |
| Setup | ✓ Browse a site for 60 seconds, deploy MCP serverfree | ~ Define GraphQL schema, configure data sources, write @rest/@dbquery directives |
| Query flexibility | ~ Fixed tools with typed parameters (designed for AI agent interaction) | ✓ Arbitrary GraphQL queries with field selection and nesting |
| Multi-source federation | ✓ Connect multiple MCP servers (one per tool), agent queries across all | ✓ Single unified GraphQL schema across multiple backends |
| AI agent support | ✓ Native MCP protocol support in all major AI clientsfree | ✗ Requires custom code to generate and execute GraphQL queries |
| Write operations | ✓ Native (MCP tools support read and write actions) | ✓ GraphQL mutations (requires explicit schema definition per operation) |
| Best for | ✓ Giving AI agents instant access to any web tool without schema design | ✓ Building unified GraphQL APIs for frontend teams across multiple backends |
| Try DataFaucet free → | ||
Want to see it in action?
60 seconds from URL to working MCP server. No code.
MCP tools are discrete actions with fixed parameters. An agent calls "get_pipeline_status" with a role name and gets structured data back. Simple, predictable, and purpose-built for AI consumption.
GraphQL queries are flexible. A client can request any combination of fields, nest relationships arbitrarily deep, and batch multiple queries. Powerful for UIs, but requires the consumer to construct queries, which AI agents handle poorly without custom orchestration.
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“Connected our Salesforce to Claude in under a minute. Used to take a full sprint.”Head of RevOps, Series B SaaS
“Pipeline debugging went from 15 minutes of tab-switching to one conversation.”Staff Data Engineer, Fintech
Add to your claude_desktop_config.json:
"your-app": {
"url": "https://datafaucet.dev/api/mcp/ID/sse"
}Last updated: June 2026.